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. 2018 Oct 5;17:352. doi: 10.1186/s12936-018-2500-5

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© The Author(s) 2018

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. 3 — Including mosquito occurrence data alongside PR survey data in models of Plasmodium falciparum parasite rate. a Map of geolocated input data, PR points (coloured circles) were obtained from MAP using the malariaAtlas_PR zoon module; mosquito presence data (red triangles) were obtained from GBIF using the SpOcc zoon module [44, 51, 53]. b, c Predicted Plasmodium falciparum parasite rate from logistic regression models using either PR data only (b) or PR data and mosquito occurrence data (c). Maps were produced using malariaAtlas’ autoplot methods and ggplot2 [42]. Absolute values were removed from the colour scales to reflect the purely illustrative nature of this analysis