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. 2021 Jun 11;12:3560. doi: 10.1038/s41467-021-23865-8

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© The Author(s) 2021

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. 3 — a Associations between NPIs and county-level characteristics estimated from the main model (n = 31,072 county-weeks). Models were fitted with both generalized estimating equations (GEEs, red) and ordinary least squares (OLS, blue) models. Data are presented as mean and 95% confidence interval. The order in y-axis (same for c) is according to the importance of covariates in explaining the variances shown in b. b The importance of covariates in explaining the variances. Main models that were formulated for OLS models and fitted to least absolute shrinkage and selection operator (LASSO) with increasing parsimony. c Changes in the estimated effects when each covariate is dropped in the main OLS model.