1. Additional file 1: Table S1. of Associations between malaria and local and global climate variability in five regions in Papua New Guinea
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Imai, Chisato, Hae-Kwan Cheong, Kim, Ho, Honda, Yasushi, Eum, Jin-Hee, Kim, Clara, Kim, Jin, Yoonhee Kim, Swadhin Behera, Mohd Hassan, Nealon, Joshua, Hyenmi Chung, and Hashizume, Masahiro
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parasitic diseases - Abstract
The periods of time for the respective local weather and global climate models for each study locations. Table S2: The crude Pearsonâ s correlations among malaria cases and local weather factors during the study period at each study location. Figure S1: Cross-correlations for malaria cases and local weather factors. Cross-correlations identify the lagged relationships. The correlograms shows the correlations between malaria cases at time t and local weather at lag time t + k (i.e., k is a lag). Figure S2: Cross-correlations for malaria cases and global climate factors. The associations between malaria cases at time t and global climate indices at time t + k (i.e., lag). Figure S3: Time series plots for malaria cases, precipitation, and minimum temperature in each region during the study period. Figure S4: Correlation, histogram, and plot matrix for EMII, NINO3.4 Anomaly, DMI and SAM during 1997 â 2008. (PDF 1057 kb)
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- 2016
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