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. 2017 Oct 23;16:420. doi: 10.1186/s12936-017-2068-5

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© The Author(s) 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Association between malaria incidence and the meteorological and river components (GAM model). A1 evaporation, humidity, rainfall component (Met1); A2 temperatures component (Met2) (nonlinear relationship with malaria incidence); B1 river height component (Riv1) and B2 river height variation component (Riv2)