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How do weather and climate change impact the COVID-19 pandemic? Evidence from the Chinese mainland
Environmental Research Letters ( IF 5.8 ) Pub Date : 2020-12-30 , DOI: 10.1088/1748-9326/abcf76
Jing-Li Fan 1, 2 , Yabin Da 2, 3 , Bin Zeng 1 , Hao Zhang 1 , Zhu Liu 4 , Na Jia 5 , Jue Liu 6 , Bin Wang 7 , Lanlan Li 8 , Dabo Guan 4 , Xian Zhang 9, 10
Affiliation  

The COVID-19 pandemic continues to expand, while the relationship between weather conditions and the spread of the virus remains largely debatable In this paper, we attempt to examine this question by employing a flexible econometric model coupled with fine-scaled hourly temperature variations and a rich set of covariates for 291 cities in the Chinese mainland More importantly, we combine the baseline estimates with climate-change projections from 21 global climate models to understand the pandemic in different scenarios We found a significant negative relationship between temperatures and caseload A one-hour increase in temperatures from 25 °C to 28 °C tends to reduce daily cases by 15 1%, relative to such an increase from -2 °C to 1 °C Our results also suggest an inverted U-shaped nonlinear relationship between relative humidity and confirmed cases Despite the negative effects of heat, we found that rising temperatures induced by climate change are unlikely to contain a hypothesized pandemic in the future In contrast, cases would tend to increase by 10 9% from 2040 to 2059 with a representative concentration pathway (RCP) of 4 5 and by 7 5% at an RCP of 8 5, relative to 2020, though reductions of 1 8% and 18 9% were projected for 2080-2099 for the same RCPs, respectively These findings raise concerns that the pandemic could worsen under the climate-change framework © 2020 The Author(s) Published by IOP Publishing Ltd
更新日期:2020-12-30
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