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. 2022 Jun 2;5:530. doi: 10.1038/s42003-022-03492-9

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© The Author(s) 2022

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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Fig. 1 — a Vector models result from combining, through the fuzzy union (∪), favourable areas for the presence of urban (Ae. aegypti and Ae. albopictus) and sylvatic vectors. b Baseline disease models describe the areas favourable to the occurrence of yellow fever cases. c Transmission risk models quantify the level of yellow fever transmission risk, according to the fuzzy inteserccion (∩) between vector and baseline disease models. d Model fit assessment and validation of model predictive capacity. Methodological details are given in Supplementary Methods, which includes very detailed methodological explanations for all elements with a code in parentheses: A, B, C, D1, D2, D3, D4.1, D4.2, E, E.1, E.2, F, F.1, F.2.