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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. 1 — a Daily confirmed COVID-19 cases. b Daily confirmed COVID-19 deaths. c Distribution of R_eff by weeks since the county’s first reported case (n = 36,737 county-weeks). Gray horizontal line indicates the threshold of R_eff = 1 (same as in c). Medians (points), interquartiles (dark vertical lines) and 95% percentiles (light vertical lines) are shown (same as in d). d Temporal distribution of R_eff stratified by county population size. County population size was classified into four groups, i.e., <15,000 (blue, n = 7656 county-weeks), 15,000–30,000 (green, n = 8139 county-weeks), 30,000–90,000 (orange, n = 10,929 county-weeks) and >90,000 (red, n = 10,013 county-weeks). e Map of county R_eff for representative weeks. Weeks were selected with a 3-week interval from the last week when R_eff were available. Gray indicates no data available.