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Further studies on regionality for malaria risk should consider zoonotic malaria cases in comparison to the other forms of human malaria to possibly highlight emerging risk factors that could increase p. In Africa, results are often more mixed due to complicating factors of socioeconomics, endemicity of mosquitoes, and access to malaria treatment and prevention: it is hypothesized that smallholder agriculture expansion into endemic regions may not show as intense of a relationship to malaria risk as countries that experience rapid expansion into in low endemicity, while other studies acknowledge that consistent access to health plays a significant role in malaria cases [ 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]; the region deserves closer attention due to impacts from having the highest incidence of malaria in the world [ 6 ]. Although more focused datasets created through fieldwork or complimentary projects could target individual influences on malaria incidence more successfully, it was of interest to determine the strength of the models composed of only readily available datasets found through databases and other online sources, many of which are continually updated by international research and governing agencies. The model for the African region of the globe had the best predictive power: the percentage error rate was