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. 2022 Mar 7;69(5):e1574–e1583. doi: 10.1111/tbed.14490

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© 2022 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH.

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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The generalized linear models (GLMs) of the viral spread between départements. (a) The viral spread predictors and their level of support are based on indicator probability, which was estimated based on Bayesian Stochastic Search Variable Selection (BSSVS). Different strengths of support are marked by vertical lines. Predictors whose indicators had at least substantial support (Bayes factor, BF = 3.2) were included in the final GLM. (b) The boxplots depict the strength and direction of each predictor's effect