A Warm Summer is Unlikely to Stop Transmission of COVID-19 Naturally

被引:7
作者
Su, Ming [1 ,2 ]
Peng, Shushi [3 ,4 ]
Chen, Lili [5 ]
Wang, Bin [6 ,7 ]
Wang, Ying [8 ,9 ]
Fan, Xiarui [8 ]
Dong, Zhaomin [8 ,9 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
[3] Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China
[4] Peking Univ, Lab Earth Surface Proc, Beijing, Peoples R China
[5] Beijing Acad Edge Comp BAEC, Beijing, Peoples R China
[6] Peking Univ, Inst Reprod & Child Hlth, Beijing, Peoples R China
[7] Natl Hlth Commiss Peoples Republ China, Key Lab Reprod, Beijing, Peoples R China
[8] Beihang Univ, Sch Space & Environm, Beijing, Peoples R China
[9] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; transmission rate; temperature sensitivity; policy intervention;
D O I
10.1029/2020GH000292
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The outbreak of coronavirus disease 2019 (COVID-19) showed various transmission rate (R-t) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID-19. Here we explored variation of R-t between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the R-t started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when R-t started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain similar to 50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (R-I) increases by 29.4% (25.2-34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face similar to 2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of R-I is only -2.7% (-5.2-0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of R-I suggests that a warm summer is unlikely to impede the spread of COVID-19 naturally.
引用
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页数:11
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