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A Warm Summer is Unlikely to Stop Transmission of COVID-19 Naturally.
Su, Ming; Peng, Shushi; Chen, Lili; Wang, Bin; Wang, Ying; Fan, Xiarui; Dong, Zhaomin.
  • Su M; Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China.
  • Peng S; College of Resources and Environment University of Chinese Academy of Science Beijing China.
  • Chen L; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes Peking University Beijing China.
  • Wang B; Beijing Academy of Edge Computing (BAEC) Beijing China.
  • Wang Y; Institute of Reproductive and Child Health Peking University Beijing China.
  • Fan X; Key Laboratory of Reproductive Health National Health Commission of the People's Republic of China Beijing China.
  • Dong Z; School of Space and Environment Beihang University Beijing China.
Geohealth ; 4(12): e2020GH000292, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1019739
ABSTRACT
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 ~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 ~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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Journal: Geohealth Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Variants Language: English Journal: Geohealth Year: 2020 Document Type: Article