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Fig. 4 | Tropical Medicine and Health

Fig. 4

From: Associations between malaria and local and global climate variability in five regions in Papua New Guinea

Fig. 4

The percentage change of malaria cases with 1 unit increment of global climate indicators. The graphs show the effects of EMI, NINO3.4 anomaly, SAM, and DMI at different lag times on malaria cases in the five study locations. The effects are indicated by the percentage changes of the number of cases with every 1 unit increment change in the global climate indicators

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