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Figure 1

From: Data-driven malaria prevalence prediction in large densely populated urban holoendemic sub-Saharan West Africa

Figure 1

Study site geolocation and its monthly burden of malaria from 1996 to 2017. (a) Left and Centre: geographical ___location of the third largest urban large densely populated setting in Nigeria, the City of Ibadan. Right: Ibadan’s urban boundary; dropped-pin shows ___location of UCH Ibadan; red-balls shows ___location of primary and community centers. Images from Google Map data: Google, Maxar Technologies. By providing the previous attribution Google allows publishing of their images for non-commercial open access license as specified in their guidelines (https://www.google.com/permissions/geoguidelines/). (b) Ibadan dataset 3D surface-plot showing monthly mean malaria prevalence (y-axis and heat map); month (x-axis); year (z-axis) from 1996 to 2017.

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