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. 2011 Nov 8;6(11):e27462. doi: 10.1371/journal.pone.0027462

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Valle et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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From left to right, maps depict interpolated surfaces of predicted infection prevalence (i.e., ), asymptomatic carrier prevalence (i.e., )), and malaria prevalence (i.e., ), all for the studied area, and an extrapolated surface of infection prevalence. Upper and lower maps are the prevalence surfaces for the rainy and dry seasons, respectively. Interpolation was done using an inverse distance weighted algorithm.

Inline graphic — From left to right, maps depict interpolated surfaces of predicted infection prevalence (i.e., ), asymptomatic carrier prevalence (i.e., )), and malaria prevalence (i.e., ), all for the studied area, and an extrapolated surface of infection prevalence. Upper and lower maps are the prevalence surfaces for the rainy and dry seasons, respectively. Interpolation was done using an inverse distance weighted algorithm.