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. 2017 Aug 14;7:8082. doi: 10.1038/s41598-017-07818-0

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© The Author(s) 2017

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Local Indicators of Spatial Association (LISA) clustering analysis of P. vivax parasitaemia in: Gamitanacocha (GC), Libertad (LI), Primero de Enero (PE) and Urco Miraño (UM). Each point represents a household location. Statistically significant clusters corrected by false discovery rate were represented as follows: Households with high parasitaemia surrounded by a neighborhood with high parasitaemia (High-risk cluster − red circles), households with high parasitaemia surrounded by a neighborhood with low parasitaemia (High-low outlier − yellow circles) and households with low parasitaemia surrounded by a neighborhood with high parasitaemia (Low-high outlier − green circles). Map generated with QGIS 2.16 (QGIS Development Team, 2016. QGIS Geographic Information System. Open Source Geospatial Foundation Project. http://www.qgis.org/).