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. 2019 Feb 28;9:3046. doi: 10.1038/s41598-019-39377-x

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© The Author(s) 2019

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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Statistical associations between mosquito biting-rates and environmental covariates based on the MN-MS model. Modeling results from individual mosquito species are shown separately in each row (A. darlingi = darli., A. nuneztovari = nunez., A. triannulatus = trian., A. benarrochi = benar., A. oswaldoi = oswal., and A. rangeli = range.). Continuous and dashed lines represent the median and the 95% credible intervals, respectively. Circles show potential inflection points (i.e., knot locations), a priori set to 0.2, 0.4, 0.6 and 0.8 quantiles of the covariate. Left to right panels show the inferred associations between mosquito biting-rate (number of mosquitoes caught per 6-hour period) and precipitation (mm/hr), proportion of forest pixels, and proportion of exposed soil/urban pixels, respectively. Proportion of pixels was calculated within a 500 m buffer of each observation location.