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. 2017 Apr 12;7:45849. doi: 10.1038/srep45849

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Copyright © 2017, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Results of the modeled predicted prevalence of (a) current malaria infection with overlaid hotspot boundaries showing the area that has a predicted PCR prevalence greater than 28% and (b) malaria exposure as measured by seroprevalence with overlaid hotspot boundaries showing the area that has a predicted seroprevalence greater than 70%. Maps were generated using the PrevMap package in the R statistical software (V3.0.2 R-Project USA).