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. 2022 Feb 19;21:27. doi: 10.1186/s12939-022-01626-3

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© The Author(s) 2022

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. 5 — Multivariate Association with Female WASH Index Among 20 Refugee Camps Households in 2019. This graph illustrates the multivariate association with Female WASH Access Index among social and geographic stratifiers in 20 refugee camps households with at least one woman of reproductive age in 2019. On the y axis, are the social or geographic predictors, the name of each refugee camp is followed by the abbreviation of the settlement country. On the x axis the effect, outlined by the dotted line that represents the zero effect. Black points represent effects and white points references. The horizontal lines that cross each black point represents the CI95%. Kyangwali, Uganda refugee camp is not included in the multivariate logistic regression. This figure was created from the Standardized WASH KAP Surveys, UNHCR, 2019