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Epidemiology, biology, pathogenesis, clinical manifestations, and diagnosis of dengue virus infection, and its trend in Ethiopia: a comprehensive literature review

Abstract

Dengue fever is a dengue virus infection, emerging rapidly and posing public health threat worldwide, primarily in tropical and subtropical countries. Nearly half of the world's population is now at risk of contracting the dengue virus, including new countries with no previous history-like Ethiopia. However, little is known about the epidemiology and impact of the disease in different countries. This is especially true in countries, where cases have recently begun to be reported. This review aims to summarize epidemiology, biology, pathogenesis, clinical manifestations, and diagnosis of dengue virus infection and its trend in Ethiopia. It may help countries, where dengue fever is not yet on the public health list-like Ethiopia to alert healthcare workers to consider the disease for diagnosis and treatment. The review retrieved and incorporated 139 published and organizational reports showing approximately 390 million new infections. About 100 million of these infections develop the clinical features of dengue, and thousands of people die annually from severe dengue fever in 129 countries. It is caused by being bitten by a dengue virus-infected female mosquito, primarily Aedes aegypti and, lesser, Ae. albopictus. Dengue virus is a member of the Flavivirus genus of the Flaviviridae family and has four independent but antigen-related single-stranded positive-sense RNA virus serotypes. The infection is usually asymptomatic but causes illnesses ranging from mild febrile illness to fatal dengue hemorrhagic fever or shock syndrome. Diagnosis can be by detecting the virus genome using nucleic acids amplification tests or testing NS1 antigen and/or anti-dengue antibodies from serum, plasma, circulating blood cells, or other tissues. Dengue cases and outbreaks have increased in recent decades, with a significant public health impact. Ethiopia has had nearly annual outbreaks since 2013, devastating an already fragmented health system and economy. Standardization of medication, population-level screening for early diagnosis and prompt treatment, and minimization of mosquito bites reduce overall infection and mortality rates.

Introduction

Dengue fever (DF) is a rapidly emerging acute febrile disease, with potentially fatal complications, of public health concern worldwide, mainly in tropical and subtropical regions [1, 2]. The term ‘dengue fever’ was derived from the Swahili word ‘Ka-dinga pepo’ synonymous with ‘cramp-like seizure’. In 1787, Benjamin Rush coined the term as “break-bone fever” because of the symptoms of myalgia and arthralgia involvement during epidemic reports in Philadelphia in 1780 [3]. DF epidemics were first recognized clinically in the 1780s in Asia, Africa, and North America at about the same time [4]. Dengue virus (DENV) that is known to cause the full range of DF diseases worldwide comprises four independent but antigen-related serotypes (DENV1-4) and belongs to the genus flavivirus of the family Flaviviridae [5]. The virus is a positive sense single-stranded encapsulated RNA virus and comprises virus-encoded three structural proteins, namely, nucleocapsid or core (C) protein, membrane-associated (M) protein and envelop (E) glycoprotein and seven non-structural (NS) proteins [3]. It is transmitted to humans by the bite of infected female Aedes mosquitoes [5, 6].

The DF disease ranges from mild to undifferentiated fever illness to severe dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) [7, 8]. For management of cases, in 2009 WHO revised and classified DF disease into uncomplicated DF and severe DF, though the 1997 WHO classification that classified DF into undifferentiated fever, DF and DHF is still in use [8, 9]. The main clinical manifestations of each categories would be continuous high fever lasting 2–7 days, haemorrhage—manifested by petechiae, epistaxis, positive tourniquet test or thrombocytopenia, and plasma leakage shocks—manifested by hemoconcentration (hematocrit above 20%), pleural effusion and ascites [3]. In regions where DF case is found as endemic and/or epidemic, particularly in tropical and subtropical countries including in Ethiopia, patients with febrile illness compliance are main public disease, commonly sought medical attention [10]. In Ethiopia and in Africa as a whole, these febrile illnesses would likely caused by various infectious pathogens, complicating control and response programs to epidemic and pandemic diseases, such as malaria, Ebola and COVID-19 [11]. The manifestations of the febrile illnesses are the manifestations of DF and other arboviruses illness [12,13,14]. However, DF and other arboviral diseases are unknown or low, probably due to misdiagnosed or undiagnosed febrile patients [13]. In East African countries, even though few data were available so far, DF is notably recognized as epidemic-prone public health threat disease [15]. In countries where DF and other arbovirus diseases case potentially exist, accurate and multiplex diagnoses need to be employed for patient care and epidemiological surveillance for epidemic preparedness and response within the countries and at the regions at large [16].

The existing surveillance system is inadequate to detect new cases and the dynamics of the virus in a timely manner because of inadequate human, financial, material and technical resources to equip laboratory services and epidemiological capacity. Similarly, the diagnosis, diagnostic methods and health service systems variability of countries hinder the reliable estimations of burden and distributions of emerging diseases like DF disease [17]. These are the reasons why the 2015 United Nations plan through its sustainable development goals (SDGs) to end emerging or re-emerging neglected tropical diseases epidemics by 2030, which encompasses Arboviral diseases including DF, seems far from the target achievement. In Ethiopia, various DF outbreaks have occurred every year among undifferentiated febrile patients in different areas of the country, including in Afar region, in Somali region, and in Dire Dewa city administration [18,19,20]. Since 2013 during the first identified outbreak [21]. In addition, a serological survey has identified DF disease, revealing DF is spreading and emerging disease in the country [22]. However, the country has been hampered by challenges of lack of clinical experience to suspect and manage potential DF cases and by the absence of adequate laboratory diagnostic capabilities. As a result, DF cases possibly remain undiagnosed as mild or asymptomatic, misdiagnosed with other clinical manifestations resembling malaria, bacterial, or other viral infections or remaining unidentified febrile illness [13, 23]. Therefore, DF cases, including epidemics, emerge and pose a significant unforeseen and none-responded challenge to the country due to weak health system, low experience of health service providers, and economic instability [24]. State-of-the-art reviews tend to address current status of DENV and DF dynamics reflection would be crucial for consideration of the emerging DF cases for diagnosis and management in countries like Ethiopia, where DF cases have not yet considered as a public health important disease. This review summarizes the current knowledge of epidemiology, biology, pathogenesis, clinical manifestations and diagnosis of dengue virus infection and its trend in Ethiopia.

Epidemiology of DENV infection

The DF was first identified and named in 1789 by Benjamin Rush, who coined the term “break-bone fever” because of the symptoms of myalgia and arthralgia. DF epidemics were occurred and recognized simultaneously in Asia, Africa, and North America in the 1780s [4]. The disease is endemic in many countries in WHO regions of Africa, the Americas, the Eastern Mediterranean, Asia, Australia and the Western Pacific [1, 25, 26], though the Americas, South–East Asia and Western Pacific regions are the most seriously affected, with Asia representing ~ 70% of the global burden of DF disease [5]. The lack of a unified and coordinated effort at the regional levels to initiate population-based epidemiological surveillance with clear operational goals leads to differences in burden reports within regions [27]. Since 1940, the risk of contracting the DENV infection has increased by over 30-fold and has widespread dramatically as population movements during World War II spread around the world [4]. In the late 1990s, DF was the second most important mosquito-borne disease after malaria, with approximately 40 million DF cases and hundreds of thousands of DHF cases each year [4]. Currently, a half of the world populations are at risk of contracting DF disease. Annually, an estimated 390 million DF infections, of which about 100 million manifest clinical features and nearly a thousand cases develop fatal DHF/DSS, predominantly in the tropical and subtropical regions including the Americas, Asia, Australia, and Africa [1, 7, 28]. The spreading and distribution of DF cases are attributed to the factors such as globalization, population and urbanization growth, variations in climate and environmental factors, lack of sanitary services, ineffective mosquito control, and increasing DENV surveillances and case reports. The factors may contribute to the increases mosquito populations and susceptibility to circulating serotypes and creating favourable temperature, precipitation, and humidity for the reproduction and feeding patterns of the mosquito populations and for the DENV incubation period [5]. Besides, in recent years, the losses of enzootic amplification requirements and adaptation for replication at higher temperatures of the vector have made DENV cause the largest and the most extensive epidemic in tropical urban areas [29]. Endemic and epidemic DF transmission cycles are augmented with significant morbidity, mortality, and economic costs, particularly in developing countries [2].

Since 2000, a sharp rise in DF incidence, the spread of cases to new countries, and the urban-to-rural spread risk of about half of the world’s population [5, 17]. The DENV's limit of infectivity has now reached 129 countries with good evidence of DF cases and outbreaks, including 36 countries previously classified as dengue-free by WHO and/or the US CDC [17]. Annually, an estimated 390 million DENV infections could have occurred, from that estimated 67–136 million cases can manifest clinical features and thousands of case develops into severe/deaths most frequently in the population of countries in tropical and subtropical regions of the world. The tendency of increase may be due to globalization, the growth of the population and urbanization, variations in climate and environmental factors, the lack of sanitary services, ineffective mosquito control and increasing DENV surveillances and case reports [5]

Over the past 20 years, the number of DF cases and deaths reported to WHO has increased by more than eightfold and fourfold, respectively. The reported cases increased from 505,430 in 2000 to more than 2.4 million in 2010 and to more than 5.2 million cases in 2019, where the reported deaths increased from 960 in 2000 to 4032 in 2015 [5]. Moreover, the cases of DF have shifted from mostly affecting children 40–50 years ago to affect all age groups [26]. During the 2020–2021 years, the total number of reported cases and deaths contrarily seemed to decrease. However, the data were not completed yet as well as the COVID-19 pandemic that hampered case reporting in several countries [5]. Even though the DF case and deaths reports have been growing over wide geographical locations and in all ages of populations, the current global distribution remains highly uncertain [17].

In Africa, the epidemiology of DF is poorly characterized, even though the vector mosquitoes present a high burden in the neighbouring Middle East and in Sub-Saharan Africa as well all serotypes of DENV circulate in 19 countries of the continent [4]. In the region of Sub-Saharan Africa, DENV infection seems a significant burden for public health, with an estimated burden of about 25% (21–29%) by IgG, 10% (9–11%) by IgM and 14% (12–16%) by viral RNA tests [30]. Moreover, many countries of the region, including Burkina Faso in 2016 and 2017, Côte d’Ivoire in 2017, Cape Verde in 2009, and Egypt in 2015 have experienced of DF outbreaks that were reported to Africa CDC [31].

DENV infection in Ethiopia

DF is understudied in Ethiopia, but the country has a sharply increased number of DF outbreak cases, continued transmission, and increased viral infection [32]. These would be reasons to recommend Ethiopia has high potential risk factors for DENV transmission and the following findings would further substantiate the recommendation. First; Ae. Aegypti, the vector transmitting DENV, have been extraordinarily identified at indoor and outdoor levels [33]. From immature stages collected from discarded containers and other artificial water containers found around houses and peri-domestic areas, about 50–84% of them were morphologically identified as Ae. aegypti [34, 35]. Second, DF has been potentially misdiagnosed in Africa including in Ethiopia as malaria, because over-diagnosis of malaria in areas of low transmission has been well documented and overestimating of malaria (≈ 75%) by clinical diagnosis [36]. Reporting of viruses that are similar to DENV by having same transmitting vector and being in the same member of genus Flavivirus was started in Ethiopia during the yellow fever (YF) outbreak in 1960–62 in southern Ethiopia [37]. Flavivirus including Zika virus (ZIKV), West Nile virus (WNV), Chikungunya virus (CHIKV), Wesselsbron, Talaguine and Sindbis viruses were serologically identified in human populations and in wild animals in Southern and Western Ethiopia [38]. Despite potential serological cross-reactivity due to the broad antigenic cross-reactivity of antibodies and clinical presentation similarities with causing febrile illness to these Flavivirus infections [39], DENV infection was not identified and reported until the last decade in Ethiopia.

In Ethiopia, DENV infection outbreak was first reported in 2013 during DF related outbreak that occurred in Dire Dawa city administration from eastern part of the country. During the outbreak, 12,000 DF-related suspected cases were registered, from which 88 of the cases were confirmed by ELISA and RT-PCR and 50 of the cases were found positive for DENV infection, specifically for DENV-2 serotype [21, 33]. The next year, other many outbreaks were identified in a year round fashion in Dire Dawa city administration, in Godey Town of the Somali Region, and in the Adar district of the Afar region [18, 19]. In the Somali region, during the same months of three series of years, which were in January, February and March of 2014, 2015 and 2016, DF-related outbreaks with a total of 440 cases occurred [40]. In May 2017, DF-related outbreak from Kabridahar Town in the Somali region was reported with a total of 101 cases, including five with severe DF and one death [19]. Similarly, the epidemiological evidence reveals that DF-related outbreaks were recorded from 2017 to 2021 in the Somali region and Dire Dewa city administration [19, 41,42,43]. Furthermore, from Jan 01 to Feb 04, 2021, Ethiopian health officials reported DF-related outbreaks of 160 confirmed DENV infection cases in Warder Woreda of Dolo Zone and 47 suspected DF cases in Dolo Ado Woreda of Liban Zone of the Somali Region which are areas that had an experience of past DF outbreaks in 2017 and 2018 [43]. Contributing factors to the outbreaks include the weakened nutritional status of the community due to prolonged drought, population displacement, poor household water handling, living with ill people and lack formal education [19, 41].

Similarly, few serological studies reported DENV infections from different localities of the country. From northwest Ethiopia, in Gonder referral hospital, 7.5% current (acute) and 13.0% past DENV infections [44] and in Metema and Humera, 19% current and 21% previous DENV infections were reported from acute febrile patients [22]. In southern Ethiopia, in the Borena zone of the Oromia region, 22.9% against anti-DENV IgG and 7.9% against IgM of DENV infection were reported [45]. From the confirmed DF infections, the responsible serotypes for the outbreaks were DENV1-3 serotypes [33, 42, 44]. Even though DENV infection would be transmitted all year round in Ethiopia, the risk of contracting it in the country is the most significant during and immediately after the rainy season, which runs from June to August [43]. The close contact with DF patients, non-uses of bed nets, and the presence of stagnant water around the village were identified as risk factors for contracting DF in Ethiopia [18].

Biology of DENV

Etiologic taxonomy and transmissions of DENV

DENV is a positive sense single-stranded encapsulated RNA virus and consists of three structural proteins and functional seven none-structural (NS) proteins [3]. It belongs to the genus flavivirus of the family Flaviviridae [5]. The family Flaviviridae comprises various genera, including the genus flavivirus that contains viruses such as DENV, yellow fever virus (YFV), Japanese encephalitis virus (JEV), tick-borne encephalitis virus (TBEV), West Nile virus (WNV), and Zika virus (ZIKV), genus Hepacivirus that contains hepatitis C virus (HCV), genus Pestivirus and many others like the newly proposed genus consisting of G Barker Virus (GBV) isolates [46,47,48]. Although members of the family Flaviviridae share similarities in morphology, genome organization, and replication, each genus differs in antigenic and biological properties. The genus flavivirus has distinct characteristics including most of the viruses in the genus are arthropods (mosquito or tick) borne and share closely related genomic organization and sequence homology, leading to antigenic cross-reactivity among members [47].

DENV is a roughly spherical virus particle with a diameter of approximately 50 nm, and based on cross-reactivity assays, the virus consists of four independent antigen-related serotypes (DENV1-4) [5, 49]. Epidemiologically, like in genetic diversity, transmission dynamics, and epidemic potential, all serotypes are almost similar, except the DENV-4 serotype which is genetically quite distinct [50]. The DENV exhibits two distinct morphological forms, namely, the intracellular immature virion and mature virion forms. The mature virion is distinguished by two virus-encoded membrane-associated E and M proteins, forming a relatively smooth surface. However, the intracellular immature virion has E protein and a precursor membrane (prM) protein which will be cleaved proteolytically into the M protein during maturation. The immature virion spikes the surface in an asymmetric, upright manner by undergoing extensive rearrangement of intracellular virus-encoded surface proteins upon acidification during maturation in the infected cells [51, 52]. However, partially mature/immature forms may sometimes be released from infected cells [52]. All serotypes have similar geographic distributions and host/vector associations as well as all are known to cause the entire spectrum of DF diseases; considering reasons to be a single species even if they have quite distinct genetically and antigenically [53]. In addition to the four worldwide identified DENVs, a fifth serotype (DENV-5) has been detected from a suspected patient in Malaysia in 2007 using isolation and genetic sequence analysis and announced in 2013 [54].

The DENV serotypes can be undergone to several subtypes/ lineages or genotypes based on several changes in the viral genome [49, 55]. DENT-1 was previously classified into five (IV) genotypes based on the sequence of the E gene. Of these, genotypes I, IV, and V appeared to predominate, while genotypes II and III appeared to be dormant [49, 56]. DENV-1 was classified recently into three genotypes (I, II, and III) by whole-genome sequencing [57, 58]. However, the role of different genotypes in triggering outbreaks is poorly studied [58]. DENV-2 consists of 6 genotypes, including Asian/American, Asian I, Asian II, Cosmopolitan, American, and Sylvatic, and 15 other subpopulations/ lineages. These variations are occurred when few codons in envelope genes confer antigenicity and lineage diversity to American strains of the Asian/American genotypes, codons from NS genes of DENV-2 confer lineages diversity to the Asian I, Cosmopolitan, and Silvatic genotypes [59]. DENV-3 consists of five genotypes ((I, II, III, IV and V) of which genotype III formed three heterogeneous subpopulations (III-a, III-b, and III-c) [60, 61]. Subpopulations of genotypes I, II, and III-a include Asians, and III-c and IV includes Americans strains. The III-b subpopulation contains mainly American strains and a minority of South Asians, but many genotype III strains and genotype V strains contain Asians and Americans [61, 62]. DENV-4 consists of five genotypes (I, IIA, IIB, III, and Sylvatic) [60, 63]. Genotype I was found in the Philippines and genotype IIA is common in Southeast Asia and China. Genotype IIB has been isolated in Southeast Asia and the Pacific Islands, and genotype III has been reported only in Thailand [63, 64]. The genotype and serotype diversity are primarily due to the high rate of genetic mutation driven by error-prone RNA-dependent RNA polymerases; the RNA polymerase lacks proofreading activity and generates mutation approximately per round of DENV genome replication [49]. On the other hand, a serotype can provide lifelong immunity to the infected person only against that specific serotype [65, 66]. Hence, the diversities in the genotypes and serotypes are major challenges in the development of a tetravalent vaccine.

Transmissions of DENV infection to humans can be known to undergo two types of transmission cycles, called urban and enzootic cycles [49]. The urban transmission cycle to humans occurs from domestic/peri-domestic habitats by female mosquitoes mainly of the species Ae. aegypti and, to a lesser extent, Ae. albopictus [5, 59]. The mosquitoes are infected when they bite a person infected with the virus, consequently, the infected mosquitoes can, therefore, extend the virus to other people through bites. These mosquitoes prefer to bite people during both the day and night and live indoors and outdoors near people [67]. Unlike many flavivirus DENVs are confined to their natural vertebrate host range that use primates as their amplification and reservoir hosts. The DENV transmission that occurs as an enzootic cycle would be in non-human primates of sylvatic habitats and arboreal mosquitoes, such as Ae. taylori and Ae. fucifer [59]. The urban transmission cycles are an endemic or epidemic cycle that takes place between human reservoir hosts and the mosquitoes, where larval maturation occurs around domestic water containers. DENV cannot be spread directly from person to person; however, infected humans are known to carry the infection from one country to another or from one area to another during the stage when the virus circulates and reproduces in the blood system [5].

Structural components of DENV

The three virus-encoded structural proteins of DENV are C protein (12 kDa), M protein (8 kDa) which is cleaved from PrM protein (21 kDa) and E protein (53 kDa), whereas the seven NS proteins are NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5 [68]. The virion particle is organized as virus-encoded outer protein layer, host cell-derived lipid bilayer envelope membrane, and an inner spherical nucleocapsid core [69]. On the outer surfaces, 180 copies of each E and M/PrM protein are anchored into the lipid bilayer membrane and spanned through the membrane to form an icosahedral arrangement. In the mature DENV and flavivirus, the 180 copies of 395 residues of E monomer proteins are organized into 90 head-to-tail homodimers on the outer layer. Each E monomer protein is composed of three domains that are arranged as central domain I connecting immunoglobulin-like domain III to a dimerization domain II [70], a membrane-proximal stem, and a transmembrane anchor [71]. Domain III is supposed to interact with host cell receptors for entry and key epitope to bind neutralizing antibodies [55]. The membrane-proximal stem has two predicted amphipathic helices of hydrophilic and hydrophobic parts lie against the viral membrane and span to the length of domain II during fusion. At the tip of the domain II, there is a hydrophobic fusion loop which is exposed after the removal of the pr peptide from prM and is important for interaction and fusion with host membranes [71].

The prM protein is cleaved at position 91 by furin or furin-like protease to produce the pr peptide and M protein. The M protein contains an N-terminal loop (the first 20 residues), α-helical domain (MH), and two transmembrane spans (MT1 and MT2). The MH domain which is a highly conserved residue located 20-38aa downstream from the prM cleavage site can regulate prM cleavage during viral particle maturation and host cell entry [72]. The cleavage of the ‘pr’ peptide from prM is occurred to keep the M protein remains transmembrane under the protein E shell in the mature particle during maturation [68]. The lipid bilayer envelope membrane, which encloses the central spherical core of the virion, is taken from the host endoplasmic reticulum (ER) membrane during the maturation process [73].

During reconstructions by cryoelectron microscopy and fitting of the known structure of E glycoprotein, the viral surface envelope exhibits an icosahedral scaffold of 90 E glycoprotein dimers [69]. The conformational changes take place on the two surface proteins by different environmental levels of pH, confer on the surfaces unique structural features of the immature and mature DENV forms [74]. In the immature form, the PrM and E form 90 heterodimers that extend as 60 trimeric spikes on the surface of the particle (Fig. 1A), wherein the mature particles the E protein form 90 homodimers of 30 raft-shaped groups of three E protein dimers that lie flat against the viral surface to form a ‘smooth’ herringbone-like pattern (Fig. 2D). During transition through the trans-Golgi network (TGN), predominantly conformational changes happened in the E protein due to pH level change determines to occur the structural transition from spiky immature to smooth shape mature [73]. Using the knowledge of E protein mass and comparing the size with other viruses, it was suggested that DENV may have three E subunits per icosahedral asymmetric unit [69]. The three E-monomers present in each icosahedral asymmetric unit indicate that the DENV virion lacks true T = 3 symmetry; this may contribute to its presence in three chemically distinct environments and may play different roles when present in different stages of the disease [66].

Fig. 1
figure 1

Structure of the dengue virion and conformations of the E protein

Fig. 2
figure 2

Schematic representation of the DENV genome: A ORFs showing structural proteins (C-prM-E) and NS proteins (NS1–NS2AB–NS3–NS4AB–NS5) and 5′ and 3′ UTRs. Positions of complementary sequences are indicated by solid lines for 5′–3′CS and dashed lines for 5′–3′UAR. B Predicted secondary structure of the 5′ UTR of the genome. Structural elements of the 5′ terminal region include stem loop A (SLA), stem loop B (SLB), oligo (U) track spacer, translation initiator AUG, capsid region hairpin (cHP), and 5′ CS element. C Predicted representation of RNA elements at the 3′UTR of the genome. Predicted secondary structures of three defined domains are shown: domain I (variable region, VR), domain II (dumbbell structure, DB1 and DB2), and domain III (conserved sequences CS1 and 3′SL). In addition, the respective positions and sequences of the conserved elements corresponding to RCS2, CS2, 3′CS and 3′UAR are indicated [76]

The central core of the virus is nucleocapsid, consisting the RNA genome molecule merged with C protein to form a central spherical core [66]. The NS proteins are functional proteins for a sequence motif characteristic, including viral serine protease, RNA helicase, and RNA-dependent RNA polymerase. They involve in controlling, coordinating and regulating various intracellular processes of viral life cycles [47, 75].

Genome of DENV

The DENV comprises of about 11 kb long single-stranded positive-sense RNA molecule genome. The genome has single open reading frame (ORF) flanked by 5′- and 3′-terminal untranslated regions (UTRs) (Fig. 2A). The ORF encoded for a single of about 3390 residues of large polyproteins [53]. The 5′ and 3′ UTRs are non-coding regions used as RNA genome maintenance. The UTRs containing conserved sequences are cis-acting elements that regulate the processes of genome amplification, translation, and packaging by altering stability, localization, and translational efficiency [25, 50, 55, 76].

The 5′ UTR is an upstream region of ORF which is a short and highly structured sequences region of between 95 and 101 nucleotides of the four serotypes. The region has two structural domains of distinct functions during RNA synthesis. The domains are separated by a short oligo(U) sequence that functions as a spacer to enhance viral RNA synthesis. The first domain is about 70 nucleotides sequence, predicted to fold to large stem-loop A (SLA) which is proposed to act as a promoter for the viral RNA-dependent RNA polymerase (NS5). SLA shows portions of three helical structure regions (S1, S2, and S3), a side stem-loop (SSL), and a top loop (TL) which are essential structures recognized by viral RNA-dependent RNA polymerase (NS5) during viral RNA synthesis. The S1 and S2 regions represent one of the most conserved elements, but the sequence and structure of the S3 and side stem-loop show the most variation in flaviviruses. The second domain of 5′ UTR is a 16-nucleotide-long sequence which is predicted to form a short stem-loop B (SLB). The SLB is identified as a 5′ upstream AUG region (5′UAR), which is a complementary region to the counterpart 3′UAR present at the 3′ ends of the genome. The downstream of 5′ UTR is positioned by ~ 100 nucleotides long coding sequence for C that contains a highly conserved in all four DENV serotypes 5′ complementary sequences (5′CS) to 3′CS, a stable capsid region hairpin (cHP) and RNA element that modulates DENV replication in mosquito and mammalian cells. The 5′ CS, which is an 11 nucleotides long (134-UCAAUAUGCUG), mediates long-range RNA–RNA interactions between the ends of the RNA for the genome cyclization. The cyclization of the viral RNA occurs when the 5′UAR and 5′CS hybridize with the counterparts in the 3′ UTR, which is a process required for transferring the viral polymerase from the 5′ SLA to the 3′ ends to initiate genome replication (Fig. 2B) [53, 76,77,78,79,80,81].

The 3′UTR is a relatively long nucleotide sequence region that comprises about 470, 450, 430, and 385 (shortest) nucleotides sequence for DENV-1, -2, -3 and -4, respectively. The 3`UTR lacks a poly (A) tail (polyadenylation), which is a crucial tail for stimulation and stabilization of cellular mRNAs translational initiation but ends with a conserved 3′ stem-loop (3′SL). The 3′ UTRs of DENV and ZIKV have 3 major domains. Domain I: A stem-loop (SL) domain that immediately follows the stop codon of NS5 and a highly variable region inside the 3′ UTR. In the DENV serotypes, SL has a significant sequence and length variation that may vary from less than 50 nucleotides to greater than 120 nucleotides between the serotypes. Domain II: A dumbbell (DB) characteristic shape and duplicate in tandem. This domain has conserved CS2 and its repeated CS2 (RCS2) sequences. Domain III: The most conserved region of the 3′UTR, containing a CS1 element which is followed by a terminal 3′SL structure. CS1 is a structure involved in long-range RNA–RNA interaction between the end of the viral genome during cyclization (Fig. 2C) [53, 76, 81].

Life cycle of DENV

DENV infection and replication require step-by-step processes in host immune cells using cellular machinery. The DENV targets immune cells, including dendrite cells (DC), skin Langerhans cell, B cells, T cells, monocytes, macrophages, lymphocytes and liver cells to infect [82, 83]. The life cycle of the infection occurs in a subsequent fashion, as detailed below and depicted in Fig. 3.

Fig. 3
figure 3

Step-by-step processes of dengue virus entry in the host cell and its life cycle

Attachment and cell entry

DENV attaches to the surface of the immune cells and enters the cells by a process known as endocytosis. During the binding to the immune cells, receptors on the surface of the cells trigger the virus to be taken in. The cognate receptor molecules such as glycosaminoglycans (GAG), lipopolysaccharide-binding protein in association with CD14 molecules, heparan sulfate and lectin-like receptors such as dendritic cell-specific intercellular adhesion molecule 3-grabbing non-integrin (DC-SIGN) are crucial for DENV infection. FC receptor involves in the mechanism referred to as antibody-dependent enhancement (ADE) dengue infection. During infection, E protein binds to the relevant receptors and triggers receptor-mediated endocytosis via clathrin-coated vesicles, sac-like structures, called endosomes [55, 84, 85]. DENV lands on the cell surface and either rolls over various surface receptors or migrates diffusively as a virus-receptor complex toward pre-existing clathrin-coated cavities during the process [86]. Alternatively, the entry of DENV into target cells can also occur independent of clathrin, caveolae and lipid rafts, depending on a non-classical endocytic pathway, for example, via dynamin [87].

After internalization, the virus particles are delivered to Rab5-positive early endosomes and mature into Rab7-positive late endosomes, where membrane fusion exclusively occurs [86]. The endosome’s interior pH can be decreased by proton pumps which trigger the virus to change the protein E conformation to form spike-like structures. As a postulate, the acidic pH in the endosomes triggers E homodimers dissociation, leading domain II to project outward and exposing the hydrophobic fusion loop peptide to the target endosome membrane [73]. The hydrophobic residues of the fusion loop penetrate the membrane of the endosome. Domain III also shifts and folds back toward the fusion loop peptide into a hairpin-like conformation [88]. Subsequently, the membrane-proximal stems span the length of domain II. Finally, the stems are aligned across the entire length of domain II to bring the TM anchor and the fusion loop together, completing membrane merger and pore formation (Fig. 3). The pore helps the virus to release the nucleocapsid into the cytoplasm [66, 89].

RNA uncoating and translation

The viral translation and replication to be undertaken, the nucleocapsid needs to be broken and leave the C protein aside to release the viral RNA into the cytoplasm. The C protein is a highly basic protein that binds to viral RNA with high affinity but low specificity. Uncoating of the C protein from the viral genome occurs by an unexplained mechanism. The non-degradative steps of ubiquitination, however, are thought to function in genome uncoating [90]. In support of this thought, some studies suggested that inhibition of ubiquitination blocks the uncoating of the DENV genome, by demonstrating that the inhibition of the ubiquitin E1 activating enzyme stabilizes the viral genome by retaining it in endosomes or nucleocapsids during infection [2, 91]. The uncoated viral genome translocation to the rough endoplasmic reticulum (ER) occurs through still exactly unknown mechanisms, though believed that constant alteration of cytoskeletal machinery facilitates the translocation [92].

Translation of the genome RNA occurs at the surface of the ER membrane to produce viral proteins, subsequently initiating the critical step of genome RNA synthesis and amplification [93]. The members of the Flavivirus genome translation initiation are canonical cap-dependent. The genome RNA contains, like cellular messenger RNAs (mRNA), an m7GpppN-cap structure at the 5′ end though unlikely to lack a 3′ poly-A tail [81, 94]. To mediate genomic mRNA cyclization that is occurred to stimulate and stabilize translation initiation, the Flavivirus genome does not have a poly (A) tail binding to a poly (A) binding protein (PABP) to interact with the cap-bind eukaryotic translation initiation factor 4 complex (eIF4F). However, the eIF4F which is a crucial regulator of the cellular translation initiation complex for the cap-dependent translation-like DENV recognizes and binds to the m7GpppN cap structure at the 5′ end of mRNA and bridges it to the 40S ribosomal subunit to translate into a single polyprotein [95]. DENV also has relied alternatively on cap-independent cellular translation initiation to enable viral protein synthesis [95]. During the inhibition of cap-dependent translation by targeting the cap-binding protein eIF4E, the DENV replication and translation are unaffected [96]. However, the internal ribosome entry site (IRES), a region in the mRNAs that allow the internal initiation of translation, has not been identified for the Flavivirus [97]. Therefore, a study suggested that cap-independent translation appears to be regulated by both 5′ and 3′UTRs [93]. The ribosomal subunit and associated factors would recruit viral mRNA and scan 5′UTR until getting the AUG starts codon. The AUG selection may be assisted by a secondary structure element called cHP, located at 14 nucleotides downstream of the start codon and stops the 40S ribosomal subunit to ensure correct start codon selection [98].

During the polyprotein translation, signaling and stopping translates sequence direct back and forth translocation across the ER membrane and co- and post-translationally cleaved the polyprotein by viral and cellular proteases to produce the viral proteins. Specifically, cleavage of the polyprotein at conserved sites by the viral serine protease (NS2B/NS3), or by a host-derived signalase to cleave pr/M by furin or furin-like protease after assembly [47]. The three structural proteins occupy the N-terminal of the polyprotein and are arranged in the order of highly basic C protein (100 amino acids), followed by the prM protein (166aa) which proteolysis into M protein (75aa) during maturation, and then E protein (495aa) [47, 75]. In the meantime, the Flavivirus manipulate host cell gene expression at the translational level to facilitate the production of viral proteins and create a replication-friendly cellular state [93].

RNA replication

The Flaviviridae family viruses have an identical structural arrangement and positive sense single-stranded RNA genome. The viral genome is an mRNA template for the replication of viruses into complete intermediate negative-sense single-stranded RNA upon entry into the host cell [47]. The positive-sense RNA viruses possesses a limited number of viral replication proteins, consisting of 3–10 genes; however, they extensively use host proteins, membranes, lipids, and metabolites during the life cycle process, including replication [99]. The positive sense RNA viruses induce massive rearrangements of intracellular membranes to create ultra-structural microenvironments derived either from the ER, mitochondria, Golgi apparatus, plasma membranes, or other organelles for virus RNA replication. These microenvironments are organelle-like membranous structures that favour replication by coordinating various steps of the viral life cycle through spatial separation of the replicating RNA from the ribosome and assembly to the C protein. Moreover, besides increasing the concentration of components required for efficient replication and assembly by reducing the diffusion space, these organelle-like structures also protect viral RNA from cellular nucleases and innate immunity-triggering pattern recognition receptors [100]. The flavivirus-induced membraneous microenvironment compartment of the RNA replicate is a vesicle packet (VP), created by ER invagination. The VPs are forms of a continuous membranous network in the ER, where functional viral replication complexes (VRCs) are assembled and to create isolated compartments to be hidden from the viral double-stranded RNA (dsRNA)-activated innate cellular immunity [101]. In the VPs, the VRCs function like a molecular factory by coordinating viral RNA replication through accommodating most of the viral NS proteins, such as NS3, NS4B, and NS5, viral replication intermediate dsRNA, and the host factors [93, 102,103,104].

The DENV RNA serves as a template for replication and actively provides regulated signals that act as promoters, enhancers, and silencers of RNA replication. The elements of the regulate signals for RNA replications are located within the 5′ and 3′ UTRs and in the viral coding sequences [76]. The RNA-dependent RNA polymerase of the NS5 protein initiates the viral RNA synthesis by binding to SLA located in the 5′ UTR of the viral RNA [105]. In flavivirus, the presence of the complementary sequence 5′–3′ CS and the cyclization sequence 5′–3′ UAR between the 5′ and 3′ base pairs are essential for viral RNA synthesis. To reach the replication initiation sites at the 3′ ends of the RNA molecule, the SLA-bound polymerase exploits the long-range 5′–3′ RNA–RNA interactions within the template mediated by genome 5′–3′CS and 5′–3′UAR hybridizations of the long RNA molecules [76]. The change in a hybridization of complementary sequences leading to RNA cyclization exposes the 3′ end of the viral genome, which is a template during the initiation of negative-sense RNA synthesis [77, 78, 106]. The RNA-dependent RNA polymerases, along with the viral protease/helicase NS3, other viral NS proteins, and presumably host factors, catalyze the enzymatic reaction process to synthesize a negative sense RNA that will serve as a template for the amplification of positive sense genomic RNA [107]. The progeny viral RNA synthesis occurs by asymmetric, semi-conservative replication on the replicative form (RF) templates or dsRNA recycling [108], because the viral replications are the production of 10–100-fold more positive-sense progeny RNA than intermediate negative-sense RNA. As the viral RNA was required to be recruited to the replication compartment for replication, the newly synthesized positive-strand RNA is required to be released from the compartment after the optimum RNA is synthesized.

Virion assemblage and liberation

Virion assembly involves encapsulation, envelopment and acquisition of a lipid envelope containing glycoproteins by budding across the intracellular membrane. The NS2A protein recruits viral genome RNA, structural proteins and proteases to virion assembly sites and orchestrates nucleocapsid and virus formation. The 3′UTR end of the viral genome that serves as a recruitment signal for packaging is linked to the cytoplasmic loop of NS2A, allowing NS2A to recruit nascent RNA from the VRC to the virion assembly site. NS2A also recruits the C-prM-E polyprotein and the NS2B–NS3 protease to the virion assembly site through interactions with prM, E, and NS3, resulting in coordinated C-prM-E cleavage [109].

In members of the genus Flavivirus, nascent RNA is assembled into virions by encapsulation, after which the envelope buds into the ER lumen. Primarily mature C proteins are encapsulated into the viral RNA to form nucleocapsids, which are subsequently loaded with prM and E proteins and conquer a lipid bilayer envelope containing glycoproteins by budding across the intracellular membrane to form virions. In DENV VPs, the opening into the cytosol allows access for metabolites [such as nucleoside triphosphates (NTPs)] to the VRC and for newly replicated viral RNA to exit the VP for translation or assembly of virus particles. The replicated DENV genomes released through the VP pore can be used directly for packaging into virion particles and buds through the ER membrane in near the VP [100]. The close proximity of the replication and assembly sites to the VP may reveal DENV RNA selectivity for encapsulation by shifting the balance from RNA translation to genome encapsulation. This transient regulation is C protein accumulates to sequester viral RNA for replication DENV life cycle, whereas released viral RNA is preferably used for translation during early timepoints after infection when low levels of structural proteins are present [100]. The formed virus particles are transported to cytoplasmic vesicles via the secretory pathway before being released by exocytosis (Fig. 3). The initial immature virion, containing 60 prM and E heterotrimers in an icosahedral arrangement on the surface virion, migrates through the Golgi network, where the acidic environment triggers cleavage of prM by the cellular furin protease, leading to infectious mature virions production [110, 111].

Pathogenesis of DENV infection

Pathogenesis of DENV infection is complex and not fully understood though the spectrum of the pathogen severity of all serotypes ranges from mild DF to severe dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) [112]. The pathogenesis is attributed to a complex interaction of the virus, host genes, and immune responses of the host [113]. Because, the clinical features and severity of DF occur during the existence of factors like being a neonate or young child, female, high body mass index, genetic polymorphisms and previous infection with DENV-1 if the patient contracts DENV-2 or DENV-3, co-morbidities, such as diabetes and asthma disease [9, 25]. During severe DF cases, the DENV induces blood coagulation abnormality and plasma leakage and increases vascular fragility to lead to DHF. Furthermore, the virus increases capillary permeability to cause a body fluid loss that results in a hypovolemic shock DSS and multiple organ failures [114]. Hence, the patho-physiological features of severe DF may be due to plasma leakage and abnormal hemostasis. The plasma loss in DF and its complication outcome have been known for the past 10 years, but the mechanism of the expression demonstrated by the virus remains unclear [115]. On the other hand, the DENV infection severity peaks after the virus has been cleared by the host immune system, not during the viral load is at peak [116]. It is an important finding to confirm that the host immune response plays a crucial role in the pathogenesis of DENV infection.

The host organs and tissues’ tropism of DENV are considered major determinants in the pathogenesis; however, the absence of adequate tropism assays and animal models has hampered the understanding of replication tropism in the tissues cell for pathogenesis [117]. The presence of DENV (−) sense RNA or NS3/NS5 proteins in specific cells of tissue may indicate DENV replication, as these antigens are present when DENV replicates, whereas detection of other DENV antigens (E, prM, C, (+)-sense RNA) may indicate no active replication of DENV in cells, as they do not permit replication of DENV rather cells may non-specifically take up viral RNA and other antigens from the surroundings [112]. In vitro and autopsy studies, after mosquito bites, cells of the skin are infected and deliver DENV to the draining lymph nodes through lymph in which resident macrophages and different unknown cells are infected and deliver the virus to the lymphatic and vascular system, leading to the infection of bone marrow and spleen [112]. Then, Peyer’s patches and lymph nodes are infected or may acquire DENV immediately from draining lymph nodes or through bone marrow and spleen and numerous non-lymphoid organs such as stomach, thymus, lung, brain, gastrointestinal tract, liver, kidney, and heart are likely infected [112]. It is clear that the immune system cells and endothelial cell (EC) lining of blood vessels play a vital role for DENV tropism and severe pathogenesis. The infection of the DENV to host cells such as macrophages, hepatocytes, and EC influences the hemostatic and immune responses to the virus, representing a considerable risk factor for severe illness development. Infected cells die in particular via apoptosis and, to a lesser extent via necrosis; necrosis releases toxic products, which activate coagulation and fibrinolytic systems. On the other hand, the hemopoiesis process is depressed, resulting in to decrease in thrombogenicity in the blood depending on the extension of the infection to the bone marrow stromal cells and levels of IL6, IL8, IL10, and IL18. The high viral load blood, viral tropism for the EC and platelet dysfunction by severe thrombocytopenia result in a high capillary fragility to cause DHF and clinically manifested as petechiae, easy bruising, and gastrointestinal mucosal bleeding [118]. The DENV infection stimulates the development of specific antibodies and cellular immune responses despite the immune response aggravating the pathogenesis. Studies identified that when IgM antibodies produced against DENV can cross-react with EC, platelets, and plasmin to result in a cycle of amplification for higher vascular permeability and coagulopathy, the improved IgG antibodies bind heterologous viruses during secondary infection of different serotypes and improved antigen-presenting cells (APCs) infection to contribute to the highest viral load viremia in some patients during secondary infection. The viral load overestimates both low and high avidity cross-reactive T cells as in some haplotypes of HLA; cross-reactive T cells delay the virus clearance, producing high levels of pro-inflammatory cytokines and other mediators. The high levels of soluble factors induce changes in the CE leading to coagulopathy and attributing plasma loss to DSS (Fig. 4).

Fig. 4
figure 4

Model for the pathogenesis of DF, DHF, and DSS. Black arrows—processes leading to the indicated event; colored boxes with white centers–pathological events. Each event will ultimately affect the EC or the hemostatic system (purple arrows)

Most primary infections usually present as an asymptomatic or mild febrile illness but also cause hemorrhagic fever in some patients, particularly babies born to a DENV-immune mother. Subsequent infection with different serotypes can lead to severe clinical manifestations, such as DHF and DSS [119, 120]. The DENV-infected person can produce lifelong immunity against only the infecting serotype; however, the product provides only temporary and partial immune responses against other serotypes [66]. The severity of DENV increases during secondary infection of different serotypes due to the weakly neutralizing antibodies from the first infection binding to the second serotype and enhancing antibody-dependent enhancement (ADE) infection by Fc-receptor-bearing immune cells, such as monocytes and macrophages [85]. The cross-reactivity of the primary DENV infection antibodies forms a combination with a second infecting serotype to form infectious immune complexes that enter Fc-receptor-bearing cells, ensuing an extended number of infected cells and increased viral output in line with the infected cell [119]. The synergistic actions of viral serotypes and various host factors, including ADE, memory cross-reactive T cells, anti-DENV NS1 antibodies, and autoimmunity play a vital role in the severe manifestations of DF in humans [113]. The severities of DF are likely to be multi-factorial, though the mechanisms leading to severe are yet to be understood.

Clinical manifestations of DENV infection

DENV and other flavivirus can cause serious diseases ranging from febrile illness to fatal hemorrhagic, neurologic, and gastrointestinal symptoms [121]. DENV infections, following an incubation period of 4–10 days after being bitten by an infected mosquito, may have clinical features that last 2–7 days including asymptomatic or may lead to undifferentiated fever, DF or DHF with plasma leakage that may lead to hypovolaemic shock, DSS [9]. Symptomatic DENV infections were classified into DF, DHF and DSS according to the 1997 WHO classification guidelines until 2009 [8]. However, in the 2000s, the DF expert groups agreed that DF is a fundamental disease that has different clinical manifestations and often has unpredictable clinical features and outcomes; DF cases reclassification into severity levels has strong potential for practical utility in clinicians’ decisions about, where and how intensively a patient should be monitored and treated [9]. Furthermore, the 1997 classification of DHF and DSS case definitions was too difficult to apply in resource-limited settings, and too specific and failed to identify significant proportion of severe DF cases, including cases of hepatic failure and encephalitis [122]. Consequently, in 2009 WHO categorized DF as non-severe and severe DF based on a set of clinical and/or laboratory parameters [9].

Furthermore, the 2009 classification had split a large non-severe DF patient group for practical purposes into two categories: DF without warning signs (D − W) and DF with warning signs (D + W). Criteria for probable DF (D − W) would be living in or travelling to DF endemic area and showing fever and two of the following clinical symptoms: nausea (vomiting), skin rash, soreness, positive tourniquet test, leucopenia or any of the warning signs. The D + W patients, which require strict observation and medical intervention, can show all clinical symptoms of D-W, and abdominal pain or tenderness, persistent vomiting, clinical fluid retention, mucosal bleeding, lethargy/restlessness, liver enlargement > 2 cm, and/or laboratory findings with an increase in hematocrit (HCT) associated with a rapid decrease in platelet count. The criteria for DHF are all symptoms of DF and associated with hemorrhagic manifestations (positive tourniquet test or spontaneous bleeding), thrombocytopenia, and signs of increased vascular permeability that increase hemoconcentration or fluid effusion in the chest or abdominal cavity (Fig. 5). As the DHF severity extends, plasma leakage occurred to leads DSS and fluid accumulation with respiratory distress, severe bleeding based on clinician assessment, or severe organ involvement including liver (AST or ALT ≥ 1000), CNS (impaired consciousness), heart and other organs [9]. However, the 2009 WHO classification guidelines have been criticized for being too comprehensive, allowing several different methods of diagnostic criteria for severe DF and using non-specific warning signs as diagnostic criteria for DF. Besides, the guidelines have failed to have defined clinical criteria for the diagnosis of severe DF apart from providing laboratory breakpoints for transaminase levels, and determination of severity is subject to individual clinical judgment [122]. The 2009 WHO scheme is effective in identifying severe cases [123], but when the 1997 guidelines were followed, patients tended to fall into lower severity grades [124]. The 1997 classification appeared to identify truly severe cases, whereas the 2009 guidelines were more useful in recognizing a wide range of severe clinical manifestations.

Fig. 5
figure 5

Suggested dengue case classification and levels of severity

The clinical features of DF frequently depend on the age of the patient. Infants and young children may have an undifferentiated febrile disease, often with a maculopapular rash. Older children and adults may have mild febrile symptoms or classic debilitating disease with rapid onset of fever, severe headache, retro-orbital pain, myalgia, arthralgia, and gastrointestinal discomfort, often with a skin rash and sometimes minor bleeding in the form of petechiae, nosebleeds, gastrointestinal bleeding and bleeding gums. In addition, in those with signs of bleeding, usually leucopenia and occasionally thrombocytopenia can be observed in DF [8, 125, 126]. In Children, DHF commonly presents with a sudden temperature rise accompanied by facial flush and other non-specific constitutional symptoms resembling DF, such as anorexia, vomiting, headache, and muscle or bone and joint pain. DSS is a shock and deterioration occurs suddenly after a fever of 2–7 days or shortly after defervescence (during the return of fever to normal), whereas DSS is a rapid, weak pulse (≤ 20 mmHg) or hypotension accompanied by cold skin and dizziness in the early stages of shock. Hence, for patients who do not receive prompt and appropriate treatment, a period of profound shock can occur, in which pulse and blood pressure are undetectable, leading to death within 12–36 h after the onset of shock [8, 9].

Diagnosis and control of DENV infection

DF should be considered in a patient typically present with acute onset of fever, headache, body aches and sometimes rash spreading from the trunk and who lives in or recently traveled to a disease-endemic area in the 2 weeks before symptom onset [122]. The diagnosis can be performed by detecting the virus, viral nucleic acids, antigens, anti-DENV antibodies, or combinations of these techniques [5]. In the early stages of the disease (seven or less than 7 days after onset of illness), DENV infection can be diagnosed from serum, plasma, circulating blood cells, or from other tissues by detecting viral RNA with nucleic acids amplification tests, NS1 protein using some commercial tests and viral isolation in mammalian or mosquito cell culture to further genotyping and lineage for virus characterization [122]. DENV is thermally labile; RNA detection and isolation of the virus are highly dependent on well-preserved specimens for accurate diagnosis results [127]. The samples awaiting shipment to the laboratory should be stored in a refrigerator or freezer. That is, for storage up to 24 h, samples should be stored at 4–8 °C and for long-term storage samples should be frozen in a − 70 °C refrigerator or liquid nitrogen container [9].

For patients with suspected DF disease, serum specimens during acute phases (≤ 7 days after onset of illness) would be collected and diagnosed by detecting the viral RNA sequence by reverse transcription–polymerase chain reaction (RT–PCR) or NS1 protein and/or anti-DENV antibodies by enzyme-linked immunosorbent assays (ELISA) or rapid point-of-care tests [128]. IgM antibody capture enzyme-linked immunosorbent assay (MAC-ELISA) is used for the qualitative detection of DENV IgM antibodies starting 4–5 days after onset of symptoms and is also reliably detectable for approximately 12 weeks. The MAC-ELISA is based on capturing human IgM antibodies on a micro-titer plate using anti-human–IgM antibody followed by the addition of DENV antigens derived from the envelope proteins of the four serotypes. Plaque Reduction Neutralization Tests (PRNTs) that detect specific neutralizing antibodies against DENV and other flavivirus are performed on IgM positive patients to determine the cause of infection or to rule out other flavivirus, such as ZIKV, YFV and, in some cases, to determine the infecting DENV serotypes [5, 122]. Moreover, the recent development of ELISA and dot blot assays targeting the E/M and NS1 antigens has demonstrated that high levels of these antigens in the form of immune complexes are detected in patients with both primary and secondary dengue infections up to 9 days after the onset of illness. The NS1 glycoprotein is produced by all flavivirus, secreted by mammalian cells, and generates a very strong humoral response, so that detection of NS1 allows early diagnosis of dengue virus infection, although serotypes are not differentiated [9]. The nested RT-PCR protocol was developed using universal dengue primers targeting the C/prM region of the genome for the initial reverse transcription and amplification step, followed by a nested PCR amplification for identification of the infecting serotype-specific qualitatively [129]. Moreover, the combination of the four serotype-specific oligonucleotide primers in a single reaction tube which utilizes one-step multiplex RT-PCR was an interesting alternative to the nested RT-PCR [130]. The advancement of RT-PCR into real-time (rRT-PCR) by incorporating dyes and probes (SYBR green and TaqMan) in a single step is capable of providing quantitative data [131]. The presence of the virus by rRT-PCR or NS1 antigen in a single diagnostic sample is considered laboratory-confirmed dengue in patients with compatible clinical and travel histories [122]. For patient illness of more than 4 days after the onset of fever, DF can be diagnosed by testing serum for IgM antibodies produced against DENV using MAC-ELISA, whereas for patients presenting within the first week after fever, testing for DENV should include detection of rRT-PCR or NS1 and IgM [122].

After the acute phase of infection has subsided or after 7 days of fever onset, detection of IgM antibodies is the preferred method of diagnosis using ELISA and hemagglutination inhibition (HI), although NS1 has been reported positive up to 12 days after fever onset [9, 67]. If the DENV infection occurred in a person who had no previous flavivirus infections or had not been vaccinated against flavivirus, such as ZIKV, YFV, JEV, and TBE, patients would develop a primary antibody response which slowly increases for a limited time long [128]. The IgM isotype is the primary emerging antibody and detection rate in serum is increased as follows: by days 3–5 after the disease onset, it is detected in 50% of patients, by day 5 detection increased to 80% of patients and by day 10–99% of patients [9]. During DENV infection occurs in a place, where other potentially cross-reactive flavivirus such as ZIKV, WNV, YFV, and JEV are not a risk, a single serum sample IgM test result strongly suggests a recent DENV infection and should be presumed confirmatory for DF [67]. The IgM level peaks at about 2 weeks after disease onset and declines to undetectable levels after 2–3 months. Contrarily, IgG started to be detected at low titers in serum, usually at the end of the first week of onset, and slowly increases thereafter and is detected after months and even years [9].

During secondary DENV infection or after vaccination or infection with a non-dengue flavivirus, the IgG isotype antibody titers rise rapidly; the predominant antibody isotype is detected in secondary infection with high levels in an acute phase and lasts 10 months and sometimes lifelong [128]. During the convalescent phase, IgM antibodies can be reliably detected but negative for viral RNA or NS1 test [122]. The IgM levels during early convalescence are significantly lower within secondary than primary infections and may be undetectable depending on the tests used. Hence, IgM detection is a reliable serological diagnostic test target in primary DENV infections [132]. IgM/IgG antibody ratios and HI tests are used to distinguish between primary and secondary dengue infections [133]. IgM and IgG anti-DENV antibodies detection are useful to confirm recent or past infection, because where IgM can be formed about 1 week after infection and reaches their peak 2–4 weeks after the onset of disease, the formation time of IgG level is longer than that of IgM but IgG will stay in the body for many years [5]. The presence of IgM indicates a recent infection; the presence of IgG indicates a previous DENV infection. Similarly, during the clinical course, the IgG/IgM ratio plays an important role in differentiating DENV infection. A ratio of 1.10 or higher is found the optimal cutoff point for differentiating secondary from primary DENV infection [134].

DENV can be isolated from serum, plasma, and peripheral blood mononuclear cells and obtained from tissue autopsies (e.g., liver, lung, lymph nodes, thymus, or bone marrow), although specimens for isolation should be collected early in the infection process and during the viremia stage (usually before the 5th day) [112]. Cell culture is a widely used method to isolate DENV as a golden standard for DENV infection diagnosis, using the mosquito cell lines C6/36 (cloned from Ae. albopictus) or AP61 (a cell line from Ae. pseudoscutellaris) and rarely and mammalian cell cultures, such as Vero, LLCMK2, and BHK21. Consequently, the viral RNA genome sequencing is performed for the genotyping of the serotypes and to characterize the molecular epidemiology of DENV infections [135, 136].

Rapid diagnostic tests (RDTs) for detecting NS1 protein antigen, IgM, IgG, and IgA antibodies have been developed by many commercial companies and are widely used due to their ease of use and rapid results. In many DENV endemic settings and areas with limited laboratory diagnostic resources, RDTs provide opportunities for point-of-care diagnosis, as well as secondary infection or convalescent timepoints after recent infections [137]. The IgM-based RDT format alone is not sensitive enough for acute DF diagnosis. On the other hand, the IgG-based RDT format is not recommended for diagnosing of acute DF, because IgG antibodies persist for lifelong and are more likely to be misdiagnosed as false-positive. The NS1 antigen-based RDTs are important part of modern point-of-care diagnostics, but are sensitive only in the early stages of infection and are not suitable for single use in epidemic settings, where late clinical manifestations may occur [138].

Careful medical detection and monitoring of patients with DF can significantly reduce mortality from severe dengue [31]. Currently, there is no specific treatment for DENV infection. Symptoms of muscle pain, fatigue, and fever can be relieved and reduced by treatment with acetaminophen or pain relievers, such as acetaminophen. Non-steroidal anti-inflammatory drugs (NSAIDs), such as ibuprofen and aspirin, are not recommended, because these anti-inflammatory drugs have a blood losing effect and blood anticoagulants that can worsen the prognosis of diseases with a risk of hemorrhage. For severe DF, medical care by doctors and nurses familiar with the effects and course of the disease can reduce mortality from more than 20% to less than 1% by maintaining patients' fluid volume, essential for the management of severe DF [5, 8, 9]. Currently, Dengvaxia® is the only DENV vaccine approved and in use in the United States for children ages 9 to 16 with laboratory-confirmed evidence of previous DENV infection and living in areas, where DF is common [67]. Control of DF/DHF relies primarily on the use of insect repellents, wearing long sleeves and long trousers, and mosquito repellent inside and outside the home. According to the Global Vector Control Response (GVCR) noted, epidemiological surveillance with case detection and control, and entomological surveillance and control would be pillars to prevent and control DENV infections [139].

Limitations of the review

This review covers the most relevant aspects of DF global epidemiology, transmission, etiology, morphology, life cycle, genome, pathogenesis, clinical features, and diagnosis. Although this review article discusses DENV infection in detail, it has limitations. Only 139 research articles and organizations' report documents are covered, and the detailed aspect of DENV prevention and treatment were barely covered due to the absence of proven curative drugs. Only the DENV scenario observed in Ethiopia was detailed; other countries were not emphasized in-depth due to the time and length limitations of the article. This article also lacks information on the detailed genome segment-based DENV diagnostic method. It also does not include information on failures and progress in developing preventive vaccines against DENV.

Conclusion

DENV infection is a complex systemic disease with severe medical and economic consequences. To fully understand the impact on patients and the general public, assessing the full spectrum of the DF disease burden would be substantial. Considering Ethiopia is a representative developing country, it has been experiencing at least one DF epidemic every year since 2013, severely depleting the country's economy and health system. The high vector burden and rapid increase in seroprevalence of both current and past DENV infections in febrile individuals suggest that mosquito-borne DENV infection plays an important role in the spread of the disease. Globalization, population growth, and urbanization, lack of sanitation facilities, change in climate and environmental factors ineffective mosquito control, and increased DENV surveillance are factors behind the increase in DF worldwide. In addition, major risk factors for individuals to contracting DENV and developing DF include poor nutrition, persistent drought, population displacement, poor water handling, living with the ill, and lack of formal education. Appropriate precautions are recommended to minimize the risk of DENV infection.

Efforts are being made to expand surveillance coverage, but achieving the goal of eliminating DENV by 2030 will require ensuring prevention and control practices in all sectors of healthcare organizations. However, there is still a long way to go before this global health burden is reduced and DF is eliminated. In the meantime, human struggles to achieve this without preventive vaccines and efforts must be made to utilize effective preventive vaccines.

Availability of data and materials

Not applicable.

Abbreviations

ADE:

Antibody-dependent enhancement

APCs:

Antigen presenting cells

CDC:

Centres for Disease Control and Prevention

CHIKV:

Chikungunya virus

cHP:

Capsid region hairpin

CS:

Complementary sequence

DC-SIGN:

Dendritic cell-specific intercellular adhesion molecule 3-grabbing non-integrin

DENV:

Dengue virus

DF:

Dengue fever

DHF:

Dengue hemorrhagic fever

dsRNA:

Double-stranded RNA

DSS:

Dengue shock syndrome

D-W:

DF without warning signs

eIF4F:

Eukaryotic translation initiation factor 4 complex

ELISA:

Enzyme-linked immunosorbent assays

GAG:

Glycosaminoglycans

GBV:

G Barker virus

HCV:

Hepatitis C virus

IRES:

Internal ribosome entry site

JEV:

Japanese encephalitis virus

MAC-ELISA:

IgM antibody capture enzyme-linked immunosorbent assay

PABP:

Poly (A) tail binding to a poly (A) binding protein

rRT–PCR:

Real-time reverse transcription–polymerase chain reaction

RT–PCR:

Reverse transcription–polymerase chain reaction

SLA:

Large stem-loop A

SLB:

Short stem-loop B

TBEV:

Tick-borne encephalitis virus

TGN:

Trans-Golgi network

UTR:

Untranslated region

VP:

Vesicle packet

NV:

West Nile virus

WNV:

West Nile virus

YFV:

Yellow fever virus

References

  1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature. 2013;496(7446):504–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Harapan H, Michie A, Sasmono RT, Imrie A. Dengue: a minireview. Viruses. 2020;12(8):E829.

    Article  Google Scholar 

  3. Gupta N, Srivastava S, Jain A, Chaturvedi UC. Dengue in India. Indian J Med Res. 2012;136(3):373–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Dengue Virus Net. Dengue Epidemiology [Internet]. Dengue Virus Net. 2022 [cited 2022 Sep 5]. Available from: http://www.denguevirusnet.com/epidemiology.html.

  5. WHO. Dengue and severe dengue. Fact Sheet [Internet]. World Health Organization. 2022 [cited 2022 Jul 1]. Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.

  6. Gloria-Soria A, Ayala D, Bheecarry A, Calderon-Arguedas O, Chadee DD, Chiappero M, et al. Global genetic diversity of Aedes aegypti. Mol Ecol. 2016;25(21):5377–95.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ross TM. Dengue virus. Clin Lab Med. 2010;30(1):149–60.

    Article  PubMed  PubMed Central  Google Scholar 

  8. WHO. Dengue haemorrhagic fever Diagnosis, treatment, prevention and control, 2nd edition [Internet]. 1997 [cited 2022 Jun 21]. Available from: http://apps.who.int/iris/bitstream/handle/10665/41988/9241545003_eng.pdf.

  9. WHO. Dengue guidelines for diagnosis, treatment, prevention and control: new edition [Internet]. World Health Organization. 2009 [cited 2022 Jun 21]. Available from: https://apps.who.int/iris/handle/10665/44188.

  10. Animut A, Mekonnen Y, Shimelis D, Ephraim E. Febrile illnesses of different etiology among outpatients in four health centers in Northwestern Ethiopia. Jpn J Infect Dis. 2009;62(2):107–10.

    PubMed  Google Scholar 

  11. Wainaina M, Vey da Silva DA, Dohoo I, Mayer-Scholl A, Roesel K, Hofreuter D, et al. A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa. PLoS Negl Trop Dis. 2022;16(1):e0010144.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Chipwaza B, Mugasa JP, Selemani M, Amuri M, Mosha F, Ngatunga SD, et al. Dengue and chikungunya fever among viral diseases in outpatient febrile children in Kilosa District Hospital, Tanzania. PLoS Negl Trop Dis [Internet]. 2014;8(11):e3335. https://doi.org/10.1371/journal.pntd.0003335.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Eshetu D, Shimelis T, Nigussie E, Shumie G, Chali W, Yeshitela B, et al. Seropositivity to dengue and associated risk factors among non-malarias acute febrile patients in Arba Minch districts, southern Ethiopia. BMC Infect Dis. 2020;20(1):639.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kajeguka DC, Kaaya RD, Mwakalinga S, Ndossi R, Ndaro A, Chilongola JO, et al. Prevalence of dengue and chikungunya virus infections in north-eastern Tanzania: a cross sectional study among participants presenting with malaria-like symptoms. BMC Infect Dis. 2016;26(16):183.

    Article  Google Scholar 

  15. Pollett S, Gathii K, Figueroa K, Rutvisuttinunt W, Srikanth A, Nyataya J, et al. The evolution of dengue-2 viruses in Malindi, Kenya and greater East Africa: Epidemiological and immunological implications. Infect Genet Evol J Mol Epidemiol Evol Genet Infect Dis. 2021;90: 104617.

    Google Scholar 

  16. Waggoner JJ, Gresh L, Vargas MJ, Ballesteros G, Tellez Y, Soda KJ, et al. Viremia and clinical presentation in nicaraguan patients infected with Zika Virus, Chikungunya Virus, and Dengue Virus. Clin Infect Dis Off Publ Infect Dis Soc Am. 2016;63(12):1584–90.

    Article  Google Scholar 

  17. Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, et al. Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis. 2012;6(8): e1760.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Degife LH, Worku Y, Belay D, Bekele A, Hailemariam Z. Factors associated with dengue fever outbreak in Dire Dawa administration city, October 2015, Ethiopia—case control study. BMC Public Health [Internet]. 2019;19(1):650. https://doi.org/10.1186/s12889-019-7015-7.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Gutu MA, Bekele A, Seid Y, Mohammed Y, Gemechu F, Woyessa AB, et al. Another dengue fever outbreak in Eastern Ethiopia-An emerging public health threat. PLoS Negl Trop Dis. 2021;15(1): e0008992.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Yusuf AM, Ibrahim NA. Knowledge, attitude and practice towards dengue fever prevention and associated factors among public health sector health-care professionals: in Dire Dawa, eastern Ethiopia. Risk Manag Healthc Policy. 2019;12:91.

    Article  Google Scholar 

  21. WHO Africa. Ethiopia Steps Up Actions for Dengue Prevention and Control [Internet]. World Health Organization, Ethiopia. 2014 [cited 2022 Jul 24]. Available from: https://www.afro.who.int/news/ethiopia-steps-actions-dengue-prevention-and-control.

  22. Ferede G, Tiruneh M, Abate E, Wondimeneh Y, Damtie D, Gadisa E, et al. A serologic study of dengue in northwest Ethiopia: suggesting preventive and control measures. PLoS Negl Trop Dis. 2018;12(5): e0006430.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Endale A, Michlmayr D, Abegaz WE, Asebe G, Larrick JW, Medhin G, et al. Community-based sero-prevalence of chikungunya and yellow fever in the South Omo Valley of Southern Ethiopia. PLoS Negl Trop Dis [Internet]. 2020;14(9):e0008549. https://doi.org/10.1371/journal.pntd.0008549.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Mohan A, Fakhor H, Nimavat N, Wara UU, Lal PM, Costa ACDS, et al. Dengue and COVID-19: a risk of coepidemic in Ethiopia. J Med Virol. 2021;93(10):5680–1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Guzman MG, Halstead SB, Artsob H, Buchy P, Farrar J, Gubler DJ, et al. Dengue: a continuing global threat. Nat Rev Microbiol. 2010;8(12 Suppl):S7-16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Kalayanarooj S. Clinical manifestations and management of dengue/DHF/DSS. Trop Med Health. 2011;39(4 Suppl):83–7.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Guha-Sapir D, Schimmer B. Dengue fever: new paradigms for a changing epidemiology. Emerg Themes Epidemiol [Internet]. 2005;2:1. https://doi.org/10.1186/1742-7622-2-1.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet Infect Dis. 2016;16(6):712–23.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Weaver SC, Reisen WK. Present and future arboviral threats. Antiviral Res. 2010;85(2):328–45.

    Article  CAS  PubMed  Google Scholar 

  30. Eltom K, Enan K, El Hussein ARM, Elkhidir IM. Dengue virus infection in Sub-Saharan Africa between 2010 and 2020: a systematic review and meta-analysis. Front Cell Infect Microbiol. 2021;11: 678945.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. CDC Africa. Dengue Fever [Internet]. Africa Centres for Disease Control and Prevention. 2022 [cited 2021 Oct 3]. Available from: https://africacdc.org/disease/dengue-fever/.

  32. Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet [Internet]. 2018;392(10159):1736–88.

    Article  Google Scholar 

  33. Woyessa AB, Mengesha M, Kassa W, Kifle E, Wondabeku M, Girmay A, et al. The first acute febrile illness investigation associated with dengue fever in Ethiopia, 2013: a descriptive analysis. Ethiop J Health Dev. 2014;28(3).

  34. Ferede G, Tiruneh M, Abate E, Kassa WJ, Wondimeneh Y, Damtie D, et al. Distribution and larval breeding habitats of Aedes mosquito species in residential areas of northwest Ethiopia. Epidemiol Health. 2018;40: e2018015.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Getachew D, Tekie H, Gebre-Michael T, Balkew M, Mesfin A. Breeding sites of Aedes aegypti: potential dengue vectors in Dire Dawa, East Ethiopia. Interdiscip Perspect Infect Dis. 2015;2015: 706276.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Ndyomugyenyi R, Magnussen P, Clarke S. Diagnosis and treatment of malaria in peripheral health facilities in Uganda: findings from an area of low transmission in south-western Uganda. Malar J [Internet]. 2007;6(1):39. https://doi.org/10.1186/1475-2875-6-39.

    Article  PubMed  Google Scholar 

  37. Serie C, Andral L, Lindrec A, Neri P. Epidemic of yellow fever in Ethiopia (1960–1962) preliminary study. Bull World Health Organ. 1964;30:299–319.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Mekonnen M, Kroos H. Yellow fever and other arboviral diseases. In: Berhane Y, Haile Mariam D, Kroos H, editors. Epidemiology and ecology of health and disease in Ethiopia. 1st ed. Addis Ababa: Shama Books; 2006. p. 635–45.

    Google Scholar 

  39. Chan KR, Ismail AA, Thergarajan G, Raju CS, Yam HC, Rishya M, et al. Serological cross-reactivity among common flaviviruses. Front Cell Infect Microbiol. 2022;12: 975398.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ahmed YM, Salah AA. Epidemiology of dengue fever in Ethiopian Somali region: retrospective health facility based study. Cent Afr J Public Health. 2016;2(2):51–6.

    Google Scholar 

  41. CRISIS. Ethiopia: Dengue fever outbreak reported in Somali Region in 2021 [Internet]. GardaWorld. 2021 [cited 2022 Sep 5]. Available from: https://crisis24.garda.com/alerts/2021/02/ethiopia-dengue-fever-outbreak-reported-in-somali-region-in-2021.

  42. Sisay C, Waldetensai A, Seyoum M, Tayachew A, Wossen M, Keneni D, et al. Detection of serotype 1-Dengue fever outbreak in Dire Dawa city, Eastern Ethiopia. Ethiop J Public Health Nutr. 2022;5(1):49–54.

    Google Scholar 

  43. WHO. WHO supports Ethiopia’s response to a dengue fever outbreak in Somali Region [Internet]. World Health Organization. 2021 [cited 2022 Sep 5]. Available from: https://www.afro.who.int/countries/ethiopia/news/who-supports-ethiopias-response-dengue-fever-outbreak-somali-region#:~:text=WHO%20supports%20Ethiopia’s%20response%20to%20a%20dengue%20fever%20outbreak%20in%20Somali%20Region,-04%20February%202021&text=The%20World%20Health%20Organization%20Ethiopia,dengue%20fever%20in%20the%20region.

  44. Akelew Y, Pareyn M, Lemma M, Negash M, Bewket G, Derbew A, et al. Aetiologies of acute undifferentiated febrile illness at the emergency ward of the University of Gondar Hospital, Ethiopia. Trop Med Int Health [Internet]. 2022;27(3):271–9. https://doi.org/10.1111/tmi.13721.

    Article  CAS  PubMed  Google Scholar 

  45. Geleta EN. Serological evidence of dengue fever and its associated factors in health facilities in the Borena Zone, South Ethiopia. Res Rep Trop Med. 2019;10:129–36.

    PubMed  PubMed Central  Google Scholar 

  46. Neyts J, Leyssen P, De Clercq E. Infections with flaviviridae. Verh K Acad Voor Geneeskd Van Belg. 1999;61(6):661–97.

    CAS  Google Scholar 

  47. Simmonds P, Becher P, Bukh J, Gould EA, Meyers G, Monath T, et al. ICTV virus taxonomy profile: Flaviviridae. J Gen Virol. 2017;98(1):2–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Wang R, Wang X, Zhang L, Feng G, Liu M, Zeng Y, et al. The epidemiology and disease burden of children hospitalized for viral infections within the family Flaviviridae in China: a national cross-sectional study. PLoS Negl Trop Dis. 2022;16(7): e0010562.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Chen R, Vasilakis N. Dengue—Quo tu et quo vadis? Viruses [Internet]. 2011;3(9):1562–608.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Weaver SC, Vasilakis N. Molecular evolution of dengue viruses: contributions of phylogenetics to understanding the history and epidemiology of the preeminent arboviral disease. Infect Genet Evol J Mol Epidemiol Evol Genet Infect Dis. 2009;9(4):523–40.

    CAS  Google Scholar 

  51. Newton ND, Hardy JM, Modhiran N, Hugo LE, Amarilla AA, Bibby S, et al. The structure of an infectious immature flavivirus redefines viral architecture and maturation. Sci Adv [Internet]. 2021;7(20):eabe4507. https://doi.org/10.1126/sciadv.abe4507.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Pierson TC, Diamond MS. Degrees of maturity: the complex structure and biology of flaviviruses. Curr Opin Virol. 2012;2(2):168–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Murugesan A, Manoharan M. Dengue Virus. In: Emerging and Reemerging Viral Pathogens [Internet]. Elsevier; 2020. p. 281–359.

  54. Mustafa MS, Rasotgi V, Jain S, Gupta V. Discovery of fifth serotype of dengue virus (DENV-5): a new public health dilemma in dengue control. Med J Armed Forces India. 2015;71(1):67–70.

    Article  CAS  PubMed  Google Scholar 

  55. Roy SK, Bhattacharjee S. Dengue virus: epidemiology, biology, and disease aetiology. Can J Microbiol [Internet]. 2021;67(10):687–702. https://doi.org/10.1139/cjm-2020-0572.

    Article  CAS  PubMed  Google Scholar 

  56. Goncalvez AP, Escalante AA, Pujol FH, Ludert JE, Tovar D, Salas RA, et al. Diversity and evolution of the envelope gene of dengue virus type 1. Virology [Internet]. 2002;303(1):110–9.

    Article  CAS  PubMed  Google Scholar 

  57. Hapuarachchi HC, Koo C, Kek R, Xu H, Lai YL, Liu L, et al. Intra-epidemic evolutionary dynamics of a Dengue virus type 1 population reveal mutant spectra that correlate with disease transmission. Sci Rep [Internet]. 2016;6(1):22592.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Ma M, Wu S, He Z, Yuan L, Bai Z, Jiang L, et al. New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China. Parasit Vectors [Internet]. 2021;14(1):126. https://doi.org/10.1186/s13071-021-04631-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Waman VP, Kolekar P, Ramtirthkar MR, Kale MM, Kulkarni-Kale U. Analysis of genotype diversity and evolution of Dengue virus serotype 2 using complete genomes. PeerJ. 2016;4: e2326.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Wittke V, Robb TE, Thu HM, Nisalak A, Nimmannitya S, Kalayanrooj S, et al. Extinction and rapid emergence of strains of dengue 3 virus during an interepidemic period. Virology. 2002;301(1):148–56.

    Article  CAS  PubMed  Google Scholar 

  61. Waman VP, Kale MM, Kulkarni-Kale U. Genetic diversity and evolution of dengue virus serotype 3: a comparative genomics study. Infect Genet Evol [Internet]. 2017;49:234–40.

    Article  CAS  PubMed  Google Scholar 

  62. Poltep K, Phadungsombat J, Nakayama EE, Kosoltanapiwat N, Hanboonkunupakarn B, Wiriyarat W, et al. Genetic diversity of dengue virus in clinical specimens from Bangkok, Thailand, during 2018–2020: co-circulation of all four serotypes with multiple genotypes and/or clades. Trop Med Infect Dis [Internet]. 2021;6(3):162.

    PubMed  PubMed Central  Google Scholar 

  63. Phadungsombat J, Lin MYC, Srimark N, Yamanaka A, Nakayama EE, Moolasart V, et al. Emergence of genotype Cosmopolitan of dengue virus type 2 and genotype III of dengue virus type 3 in Thailand. PLOS ONE [Internet]. 2018;13(11):e0207220. https://doi.org/10.1371/journal.pone.0207220.

    Article  CAS  PubMed  Google Scholar 

  64. Klungthong C, Zhang C, Mammen MP, Ubol S, Holmes EC. The molecular epidemiology of dengue virus serotype 4 in Bangkok, Thailand. Virology [Internet]. 2004;329(1):168–79.

    Article  CAS  PubMed  Google Scholar 

  65. Murphy BR, Whitehead SS. Immune response to dengue virus and prospects for a vaccine. Annu Rev Immunol. 2011;29:587–619.

    Article  CAS  PubMed  Google Scholar 

  66. Rodenhuis-Zybert IA, Wilschut J, Smit JM. Dengue virus life cycle: viral and host factors modulating infectivity. Cell Mol Life Sci [Internet]. 2010;67(16):2773–86. https://doi.org/10.1007/s00018-010-0357-z.

    Article  CAS  PubMed  Google Scholar 

  67. CDC. Dengue; prevention [Internet]. Centres for Disease Control and Prevention. 2021 [cited 2022 Oct 3]. Available from: https://www.cdc.gov/dengue/prevention/dengue-vaccine.html.

  68. Perera R, Kuhn RJ. Structural proteomics of dengue virus. Curr Opin Microbiol. 2008;11(4):369–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Kuhn RJ, Zhang W, Rossmann MG, Pletnev SV, Corver J, Lenches E, et al. Structure of dengue virus: implications for flavivirus organization, maturation, and fusion. Cell. 2002;108(5):717–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Rey FA, Heinz FX, Mandl C, Kunz C, Harrison SC. The envelope glycoprotein from tick-borne encephalitis virus at 2 A resolution. Nature. 1995;375(6529):291–8.

    Article  CAS  PubMed  Google Scholar 

  71. Klein DE, Choi JL, Harrison SC. Structure of a dengue virus envelope protein late-stage fusion intermediate. J Virol. 2013;87(4):2287–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Hsieh SC, Wu YC, Zou G, Nerurkar VR, Shi PY, Wang WK. Highly conserved residues in the helical domain of dengue virus type 1 precursor membrane protein are involved in assembly, precursor membrane (prM) protein cleavage, and entry. J Biol Chem. 2014;289(48):33149–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Modis Y, Ogata S, Clements D, Harrison SC. Structure of the dengue virus envelope protein after membrane fusion. Nature. 2004;427(6972):313–9.

    Article  CAS  PubMed  Google Scholar 

  74. Christian EA, Kahle KM, Mattia K, Puffer BA, Pfaff JM, Miller A, et al. Atomic-level functional model of dengue virus Envelope protein infectivity. Proc Natl Acad Sci [Internet]. 2013;110(46):18662–7. https://doi.org/10.1073/pnas.1310962110.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Dwivedi VD, Tripathi IP, Tripathi RC, Bharadwaj S, Mishra SK. Genomics, proteomics and evolution of dengue virus. Brief Funct Genomics [Internet]. 2017. https://doi.org/10.1093/bfgp/elw040.

    Article  PubMed  Google Scholar 

  76. Gebhard LG, Filomatori CV, Gamarnik AV. Functional RNA elements in the dengue virus genome. Viruses. 2011;3(9):1739–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Alvarez DE, Filomatori CV, Gamarnik AV. Functional analysis of dengue virus cyclization sequences located at the 5’ and 3’UTRs. Virology. 2008;375(1):223–35.

    Article  CAS  PubMed  Google Scholar 

  78. Alvarez DE, Lodeiro MF, Ludueña SJ, Pietrasanta LI, Gamarnik AV. Long-range RNA-RNA interactions circularize the dengue virus genome. J Virol. 2005;79(11):6631–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Gritsun TS, Gould EA. Origin and evolution of flavivirus 5’UTRs and panhandles: trans-terminal duplications? Virology. 2007;366(1):8–15.

    Article  CAS  PubMed  Google Scholar 

  80. Lodeiro MF, Filomatori CV, Gamarnik AV. Structural and functional studies of the promoter element for dengue virus RNA replication. J Virol [Internet]. 2009;83(2):993–1008. https://doi.org/10.1128/JVI.01647-08.

    Article  CAS  PubMed  Google Scholar 

  81. Polacek C, Friebe P, Harris E. Poly(A)-binding protein binds to the non-polyadenylated 3’ untranslated region of dengue virus and modulates translation efficiency. J Gen Virol. 2009;90(Pt 3):687–92.

    Article  CAS  PubMed  Google Scholar 

  82. Wan SW, Wu-Hsieh BA, Lin YS, Chen WY, Huang Y, Anderson R. The monocyte-macrophage-mast cell axis in dengue pathogenesis. J Biomed Sci. 2018;25(1):77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Zitzmann C, Schmid B, Ruggieri A, Perelson AS, Binder M, Bartenschlager R, et al. A coupled mathematical model of the intracellular replication of dengue virus and the host cell immune response to infection. Front Microbiol. 2020;11:725.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Seema S, Jain SK. Molecular mechanism of pathogenesis of dengue virus: entry and fusion with target cell. Indian J Clin Biochem IJCB. 2005;20(2):92–103.

    Article  CAS  PubMed  Google Scholar 

  85. Wahala WMPB, de Silva AM. The human antibody response to dengue virus infection. Viruses. 2011;3(12):2374–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. van der Schaar HM, Rust MJ, Chen C, van der Ende-Metselaar H, Wilschut J, Zhuang X, et al. Dissecting the cell entry pathway of dengue virus by single-particle tracking in living cells. PLoS Pathog. 2008;4(12): e1000244.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Acosta EG, Castilla V, Damonte EB. Alternative infectious entry pathways for dengue virus serotypes into mammalian cells. Cell Microbiol. 2009;11(10):1533–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. White JM, Whittaker GR. Fusion of enveloped viruses in endosomes. Traffic Cph Den. 2016;17(6):593–614.

    Article  CAS  Google Scholar 

  89. Cuartas-López AM, Hernández-Cuellar CE, Gallego-Gómez JC. Disentangling the role of PI3K/Akt, Rho GTPase and the actin cytoskeleton on dengue virus infection. Virus Res. 2018;2(256):153–65.

    Article  Google Scholar 

  90. Byk LA, Iglesias NG, De Maio FA, Gebhard LG, Rossi M, Gamarnik AV. Dengue virus genome uncoating requires ubiquitination. MBio. 2016;7(3):e00804-e816.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Nicholls CMR, Sevvana M, Kuhn RJ. Structure-guided paradigm shifts in flavivirus assembly and maturation mechanisms. Adv Virus Res. 2020;108:33–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Marianneau P, Cardona A, Edelman L, Deubel V, Desprès P. Dengue virus replication in human hepatoma cells activates NF-kappaB which in turn induces apoptotic cell death. J Virol. 1997;71(4):3244–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  93. Mazeaud C, Freppel W, Chatel-Chaix L. The multiples fates of the flavivirus RNA genome during pathogenesis. Front Genet [Internet]. 2018;9:595. https://doi.org/10.3389/fgene.2018.00595/full.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  94. Garcia-Blanco MA, Vasudevan SG, Bradrick SS, Nicchitta C. Flavivirus RNA transactions from viral entry to genome replication. Antiviral Res [Internet]. 2016;134:244–9.

    Article  CAS  PubMed  Google Scholar 

  95. Fernández-García L, Angulo J, Ramos H, Barrera A, Pino K, Vera-Otarola J, et al. The internal ribosome entry site of dengue virus mRNA is active when cap-dependent translation initiation is inhibited. J Virol [Internet]. 2021;95(5):e01998-e2020. https://doi.org/10.1128/JVI.01998-20.

    Article  PubMed Central  Google Scholar 

  96. Edgil D, Polacek C, Harris E. Dengue virus utilizes a novel strategy for translation initiation when cap-dependent translation is inhibited. J Virol [Internet]. 2006;80(6):2976–86. https://doi.org/10.1128/JVI.80.6.2976-2986.2006.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  97. Pérard J, Leyrat C, Baudin F, Drouet E, Jamin M. Structure of the full-length HCV IRES in solution. Nat Commun [Internet]. 2013;4(1):1612.

    Article  PubMed  Google Scholar 

  98. Clyde K, Harris E. RNA secondary structure in the coding region of dengue virus type 2 directs translation start codon selection and is required for viral replication. J Virol. 2006;80(5):2170–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  99. Nagy PD, Pogany J. The dependence of viral RNA replication on co-opted host factors. Nat Rev Microbiol [Internet]. 2012;10(2):137–49.

    Article  CAS  Google Scholar 

  100. Chatel-Chaix L, Bartenschlager R. Dengue virus- and hepatitis C virus-induced replication and assembly compartments: the enemy inside–caught in the web. J Virol. 2014;88(11):5907–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  101. Diaz A, Ahlquist P. Role of host reticulon proteins in rearranging membranes for positive-strand RNA virus replication. Curr Opin Microbiol. 2012;15(4):519–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. Gillespie LK, Hoenen A, Morgan G, Mackenzie JM. The endoplasmic reticulum provides the membrane platform for biogenesis of the flavivirus replication complex. J Virol. 2010;84(20):10438–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Lescar J, Soh S, Lee LT, Vasudevan SG, Kang C, Lim SP. The dengue virus replication complex: from RNA replication to protein-protein interactions to evasion of innate immunity. Adv Exp Med Biol. 2018;1062:115–29.

    Article  CAS  PubMed  Google Scholar 

  104. Neufeldt CJ, Cortese M, Acosta EG, Bartenschlager R. Rewiring cellular networks by members of the Flaviviridae family. Nat Rev Microbiol. 2018;16(3):125–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Filomatori CV, Lodeiro MF, Alvarez DE, Samsa MM, Pietrasanta L, Gamarnik AV. A 5′ RNA element promotes dengue virus RNA synthesis on a circular genome. Genes Dev [Internet]. 2006;20(16):2238–49. https://doi.org/10.1101/gad.1444206.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  106. Zhang B, Dong H, Stein DA, Iversen PL, Shi PY. West Nile virus genome cyclization and RNA replication require two pairs of long-distance RNA interactions. Virology. 2008;373(1):1–13.

    Article  CAS  PubMed  Google Scholar 

  107. Ci Y, Shi L. Compartmentalized replication organelle of flavivirus at the ER and the factors involved. Cell Mol Life Sci [Internet]. 2021;78(11):4939–54. https://doi.org/10.1007/s00018-021-03834-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  108. Westaway EG, Mackenzie JM, Khromykh AA. Kunjin RNA replication and applications of Kunjin replicons. Adv Virus Res. 2003;59:99–140.

    Article  CAS  PubMed  Google Scholar 

  109. Xie X, Zou J, Zhang X, Zhou Y, Routh AL, Kang C, et al. Dengue NS2A protein orchestrates virus assembly. Cell Host Microbe [Internet]. 2019;26(5):606–22.

    Article  CAS  PubMed  Google Scholar 

  110. Li L, Lok SM, Yu IM, Zhang Y, Kuhn RJ, Chen J, et al. The flavivirus precursor membrane-envelope protein complex: structure and maturation. Science. 2008;319(5871):1830–4.

    Article  CAS  PubMed  Google Scholar 

  111. Yu IM, Zhang W, Holdaway HA, Li L, Kostyuchenko VA, Chipman PR, et al. Structure of the immature dengue virus at low pH primes proteolytic maturation. Science. 2008;319(5871):1834–7.

    Article  CAS  PubMed  Google Scholar 

  112. Begum F, Das S, Mukherjee D, Mal S, Ray U. Insight into the tropism of dengue virus in humans. Viruses. 2019;11(12):E1136.

    Article  Google Scholar 

  113. Bhatt P, Sabeena SP, Varma M, Arunkumar G. Current understanding of the pathogenesis of dengue virus infection. Curr Microbiol. 2021;78(1):17–32.

    Article  CAS  PubMed  Google Scholar 

  114. Pang X, Zhang R, Cheng G. Progress towards understanding the pathogenesis of dengue hemorrhagic fever. Virol Sin. 2017;32(1):16–22.

    Article  CAS  PubMed  Google Scholar 

  115. Sellahewa KH. Pathogenesis of dengue haemorrhagic fever and its impact on case management. ISRN Infect Dis [Internet]. 2013;2013:1–6.

    Google Scholar 

  116. Green S, Rothman A. Immunopathological mechanisms in dengue and dengue hemorrhagic fever. Curr Opin Infect Dis [Internet]. 2006;19(5):429–36.

    Article  PubMed  Google Scholar 

  117. Martina BEE, Koraka P, Osterhaus ADME. Dengue virus pathogenesis: an integrated view. Clin Microbiol Rev [Internet]. 2009;22(4):564–81. https://doi.org/10.1128/CMR.00035-09.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Nachman RL, Rafii S. Platelets, petechiae, and preservation of the vascular wall. N Engl J Med. 2008;359(12):1261–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  119. Guzman MG, Alvarez M, Halstead SB. Secondary infection as a risk factor for dengue hemorrhagic fever/dengue shock syndrome: an historical perspective and role of antibody-dependent enhancement of infection. Arch Virol. 2013;158(7):1445–59.

    Article  CAS  PubMed  Google Scholar 

  120. Mathew A, Rothman AL. Understanding the contribution of cellular immunity to dengue disease pathogenesis. Immunol Rev. 2008;225:300–13.

    Article  CAS  PubMed  Google Scholar 

  121. Gerold G, Bruening J, Weigel B, Pietschmann T. Protein interactions during the flavivirus and hepacivirus life cycle. Mol Cell Proteomics [Internet]. 2017;16(4):S75-91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  122. CDC. Dengue: Healthcare-providers: diagnosis. [Internet]. Centres for Disease Control and Prevention. 2019 [cited 2022 Jul 15]. Available from: https://www.cdc.gov/dengue/healthcare-providers/index.html.

  123. Tsai CY, Lee IK, Lee CH, Yang KD, Liu JW. Comparisons of dengue illness classified based on the 1997 and 2009 World Health Organization dengue classification schemes. J Microbiol Immunol Infect [Internet]. 2013;46(4):271–81.

    Article  PubMed  Google Scholar 

  124. da Silva NS, Undurraga EA, Verro AT, Nogueira ML. Comparison between the traditional (1997) and revised (2009) WHO classifications of dengue disease: a retrospective study of 30 670 patients. Trop Med Int Health [Internet]. 2018;23(12):1282–93. https://doi.org/10.1111/tmi.13155.

    Article  PubMed  Google Scholar 

  125. Guilarde AO, Turchi MD, Siqueira JB, Feres VCR, Rocha B, Levi JE, et al. Dengue and dengue hemorrhagic fever among adults: clinical outcomes related to viremia, serotypes, and antibody response. J Infect Dis. 2008;197(6):817–24.

    Article  PubMed  Google Scholar 

  126. Kittigul L, Pitakarnjanakul P, Sujirarat D, Siripanichgon K. The differences of clinical manifestations and laboratory findings in children and adults with dengue virus infection. J Clin Virol Off Publ Pan Am Soc Clin Virol. 2007;39(2):76–81.

    Article  Google Scholar 

  127. de Iani FCM, Caetano ACB, Cocovich JCW, Amâncio FF, Pereira MA, Adelino TÉR, et al. Dengue diagnostics: serious inaccuracies are likely to occur if pre-analytical conditions are not strictly followed. Mem Inst Oswaldo Cruz. 2021;115:e200287.

    Article  PubMed  PubMed Central  Google Scholar 

  128. WHO. Laboratory testing for Zika virus and dengue virus infections; Interim guidance [Internet]. World Health Organization. 2022. Available from: https://www.who.int/publications/i/item/WHO-ZIKV_DENV-LAB-2022.1.

  129. Lanciotti RS, Calisher CH, Gubler DJ, Chang GJ, Vorndam AV. Rapid detection and typing of dengue viruses from clinical samples by using reverse transcriptase-polymerase chain reaction. J Clin Microbiol. 1992;30(3):545–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  130. Harris E, Roberts TG, Smith L, Selle J, Kramer LD, Valle S, et al. Typing of dengue viruses in clinical specimens and mosquitoes by single-tube multiplex reverse transcriptase PCR. J Clin Microbiol. 1998;36(9):2634–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  131. Nunes PCG, Lima MRQ, Dos Santos FB. Molecular diagnosis of dengue. Methods Mol Biol Clifton NJ. 2022;2409:157–71.

    Article  CAS  Google Scholar 

  132. Chanama S, Anantapreecha S, A-nuegoonpipat A, Sa-gnasang A, Kurane I, Sawanpanyalert P. Analysis of specific IgM responses in secondary dengue virus infections: levels and positive rates in comparison with primary infections. J Clin Virol Off Publ Pan Am Soc Clin Virol. 2004;31(3):185–9.

    Article  CAS  Google Scholar 

  133. Falconar AKI, de Plata E, Romero-Vivas CME. Altered enzyme-linked immunosorbent assay immunoglobulin M (IgM)/IgG optical density ratios can correctly classify all primary or secondary dengue virus infections 1 day after the onset of symptoms, when all of the viruses can be isolated. Clin Vaccine Immunol CVI. 2006;13(9):1044–51.

    Article  CAS  PubMed  Google Scholar 

  134. Changal KH, Raina AH, Raina A, Raina M, Bashir R, Latief M, et al. Differentiating secondary from primary dengue using IgG to IgM ratio in early dengue: an observational hospital based clinico-serological study from North India. BMC Infect Dis. 2016;16(1):715.

    Article  PubMed  PubMed Central  Google Scholar 

  135. Guzman MG, Fuentes O, Martinez E, Perez AB. Dengue. In: International Encyclopedia of Public Health [Internet]. Elsevier; 2017 [cited 2022 Oct 3]. p. 233–57. Available from: https://linkinghub.elsevier.com/retrieve/pii/B978012803678500103X.

  136. Walker T, Jeffries CL, Mansfield KL, Johnson N. Mosquito cell lines: history, isolation, availability and application to assess the threat of arboviral transmission in the United Kingdom. Parasit Vectors [Internet]. 2014;7(1):382. https://doi.org/10.1186/1756-3305-7-382.

    Article  PubMed  PubMed Central  Google Scholar 

  137. Liberal V, Forrat R, Zhang C, Pan C, Bonaparte M, Yin W, et al. Performance evaluation of a dengue IgG rapid diagnostic test designed to determine dengue serostatus as part of prevaccination screening. Microbiol Spectr [Internet]. 2022;10(3):e00711-e721. https://doi.org/10.1128/spectrum.00711-21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  138. Blacksell SD. Commercial dengue rapid diagnostic tests for point-of-care application: recent evaluations and future needs? J Biomed Biotechnol [Internet]. 2012;2012:1–12. Available from: http://www.hindawi.com/journals/bmri/2012/151967/.

  139. World Health Organization, UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases. Global vector control response 2017–2030 [Internet]. Geneva: World Health Organization; 2017. 51 p. Available from: https://apps.who.int/iris/handle/10665/259205.

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BZ developed the concept of the study and wrote the initial draft. BZ and TK reviewed and corrected the main article and ML provided supervision. All authors read and approved the final paper.

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Zerfu, B., Kassa, T. & Legesse, M. Epidemiology, biology, pathogenesis, clinical manifestations, and diagnosis of dengue virus infection, and its trend in Ethiopia: a comprehensive literature review. Trop Med Health 51, 11 (2023). https://doi.org/10.1186/s41182-023-00504-0

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