Impact of climate change on SARS-CoV-2 epidemic in China

pressure (SP), and total precipitation (TP). (DOCX) S2 Table. Correlation of various factors. Notes: * represents P-value < 0.05, and � represents P-value < 0.01. Abbreviations: growth rate of SARS-CoV-2 (GR), specific humidity (H), 2-meter temperature (T), wind speed (WS), ultraviolet (UV), surface pressure (SP), and total precipitation (TP). (DOCX) S3 Table. Coefficient of cumulative effect analysis. Notes: R-squared = 0.85, Adjusted R- squared = 0.81, and Prob(F-statistic) < 0.001. Abbreviations: growth rate of SARS-CoV-2 (GR), specific humidity (H), 2-meter temperature (T), wind speed (WS), ultraviolet (UV), sur- face pressure (SP), and total precipitation (TP). (DOCX) Acknowledgments We thank every epidemic prevention and control worker and scientific researcher for their hard work in SARS-CoV-2. Author Contributions Methodology: Zhenyu Yu. Supervision: Jinnian Wang. Writing – original draft: Zhenyu Yu. Writing – review & editing: Zhenyu Yu, Jinnian Wang, Zixuan Tan, Yiyun Luo. References 1. Wu F, Zhao S, Yu B, Chen YM, Zhang YZ. Author Correction: A new coronavirus associated with human respiratory disease in China. Nature. 2020; 580(7803). https://doi.org/10.1038/s41586-020- 2202-3 PMID: 32296181 2. Leticia TI, Ana BA, Martha C, Rossana TA, Francisco RS, Herna´ndez-Vila JE, et al. SARS-CoV-2 infec- tion fatality rate after the first epidemic wave in Mexico. International Journal of Epidemiology. 2022;( 2):2. 3. Julia S, Elise T, Zhao H, Rebecca G, Berit M P, Maria Z, et al. Interactions between SARS-CoV-2 and

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