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. 2022 Apr 2;80:109. doi: 10.1186/s13690-022-00856-9

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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. 3 — Predicted COVID-19 incidence from the negative binomial regression with the area deprivation index (Q1-Q5) as explanatory variable, by area deprivation, by period of interest in the Belgian COVID-19 crisis. W1: wave 1, 1 March 2020 – 22 June 2020; IW1: interwave 1, 23 June 2020 – 30 August 2020; W2: wave 2, 31 August 2020 – 1 December 2020; IW2: interwave 2, 2 December 2020 – 14 February 2021; W3: wave 3, 15 February 2021 – 1 June 2021. Municipality-specific population size was used as an offset variable and we controlled for the median age per municipality and degree of urbanization in the regression model