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. 2020 Mar 16;13:138. doi: 10.1186/s13071-020-04016-2

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 2 — Predicted prevalence of Trichuris trichiura in Rwandan schoolchildren. 100 iterations of a spatial conditional random fields model were used to generate 95% credible prediction intervals (CIs). This figure was produced in R 3.5 using a shapefile representing Rwanda’s current administrative units [obtained from the data warehouse DIVA GIS (https://www.diva-gis.org/Data)]