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Myanmar bears the heaviest malaria burden in the Greater Mekong Subregion (GMS). This study assessed the spatio-temporal dynamics and environmental predictors of Plasmodium falciparum and Plasmodium vivax malaria in Myanmar. Monthly reports of malaria cases at primary health centers during 2011–2017 were analyzed to describe malaria distribution across Myanmar at the township and state/region levels by spatial autocorrelation (Moran index) and spatio-temporal clustering. Negative binomial generalized additive models identified environmental predictors for falciparum and vivax malaria, respectively. From 2011 to 2017, there was an apparent reduction in malaria incidence in Myanmar. Malaria incidence peaked in June each year. There were significant spatial autocorrelation and clustering with extreme spatial heterogeneity in malaria cases and test positivity across the nation (P < 0.05). Areas with higher malaria incidence were concentrated along international bor ....

Monte Carlo , Myanmar Council Of Churches , Myanmar Health Assistant Association , Rr Core Team , Source Geospatial Foundation , Shuttle Radar Topography Mission , Information Management Services Inc , National Malaria Control Program , Or Foundation , Myanmar Medical Association , Medical Action Myanmar , Myanmar Council , Myanmar Health Assistant , Moderate Resolution Imaging Spectroradiometer , Open Source Geospatial Foundation , Open Source , Both Moran , Information Management Services ,