• Cheng-Jun Yu, Zi-Xiao Wang, Yue Xu, Ming-Xia Hu, Kai Chen, and Gang Qin.
• Department of Internal Medicine, Medical School, Nantong University, Nantong, China.
• Medicine (Baltimore). 2021 May 7; 100 (18): e25837e25837.

BackgroundThere are large knowledge gaps regarding how transmission of 2019 novel coronavirus disease (COVID-19) occurred in different settings across the world. This study aims to summarize basic reproduction number (R0) data and provide clues for designing prevention and control measures.MethodsSeveral databases and preprint platforms were retrieved for literature reporting R0 values of COVID-19. The analysis was stratified by the prespecified modeling method to make the R0 values comparable, and by country/region to explore whether R0 estimates differed across the world. The average R0 values were pooled using a random-effects model.ResultsWe identified 185 unique articles, yielding 43 articles for analysis. The selected studies covered 5 countries from Asia, 5 countries from Europe, 12 countries from Africa, and 1 from North America, South America, and Australia each. Exponential growth rate model was most favored by researchers. The pooled global R0 was 4.08 (95% CI, 3.09-5.39). The R0 estimates for new and shifting epicenters were comparable or even higher than that for the original epicenter Wuhan, China.ConclusionsThe high R0 values suggest that an extraordinary combination of control measures is needed for halting COVID-19.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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