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Table 2 Characteristics of study participants and rate of influenza infection

From: Characterization of influenza infection in a high-income urban setting in Nairobi, Kenya

Characteristic

Influenza virus positive (%) (n = 21)

Influenza virus negative (%) (n = 104)

Total population (%)

p value*

Gender

    

 Male

10 (17.5)

47 (82.5)

57 (45.6)

0.839

 Female

11(16.2)

57 (83.2)

68 (54.4)

0.839

Age (years)

    

 0–4

3 (9.1)

30 (90.9)

33 (26.4)

0.132

 5–10

10 (40.0)

15 (60.0)

25 (20.0)

0.001

 11–19

2 (15.4)

11 (84.6)

13 (10.4)

0.623

 20–34

0

9 (100.0)

9 (7.2)

0.180

 34–49

4 (12.9)

27 (87.1)

31 (24.8)

0.354

 50 years and above

2 (14.3)

12 (85.7)

14 (11.2)

0.571

Ethnicity

    

 African

6 (20.7)

23 (79.3)

29 (23.2)

0.523

 Asian

9 (16.4)

46 (83.6)

55 (44.0)

0.908

 American/European

6 (18.2)

27 (81.8)

33 (26.4)

0.805

 Unknown

0

8 (100.0)

8 (6.4)

0.219

Vaccination status

    

 Vaccinated

2 (11.8)

15 (88.2)

17 (13.6)

0.425

 Ever been vaccinated

0

11 (100.0)

11 (8.8)

0.120

 Never been vaccinated

19 (20.2)

75 (79.8)

94 (75.2)

0.060

 Unknown

0

3 (100.0)

3 (2.4)

0.573

Travel history

    

 Travel history

8 (13.3)

52 (86.7)

60 (48.0)

0.319

 Onset of symptoms within 14 days of travel

5 (14.3)

30 (80.7)

35 (58.3)

0.557

 Onset of symptoms beyond 14 days of travel

3 (12.0)

22 (88.0)

25 (41.7)

0.557

 No travel history

13 (20.0)

52 (80.0)

65 (52.0)

0.319

Seasons (n = 101)

    

 March–May

0

25 (100.0)

25 (24.7)

0.006

 June–September

3 (12.5)

32 (87.5)

24 (23.8)

0.389

 October–November

12 (38.7)

19 (61.3)

31 (30.7)

< 0.001

 December–February

2 (9.5)

19 (90.5)

21 (20.8)

0.266

  1. *Seasonal distribution of ILI and influenza cases was based on seasonal weather changes in Nairobi
  2. *p value of association between characteristic and detection of influenza virus