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. 2017 Mar 9;16:108. doi: 10.1186/s12936-017-1741-z

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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. 2 — Predicted mosquito suitability in Zambézia Province, Mozambique. Darker areas are predicted to be more suitable for mosquitoes, and lighter areas are predicted to be less suitable for mosquitoes. Borders of districts within the province are outlined, and the three oversampled focus districts (Alto Molócuè, Morrumbala, and Namacurra) are outlined in bold. Sampled enumeration areas are overlaid as white polygons.

Charlotte Buehler Cherry; Vanderbilt Institute for Global Health; Projection: WGS 1984 Web Mercator Auxiliary Sphere. Permission has been granted by the copy-right holder for publication of this figure in an open access journal