Jingyuan Wang 1,2,3 , Ke Tang 4 , Kai Feng 1 , Xin Lin 1 , Weifeng Lv 1,2 , Kun Chen 5,6 , Fei Wang 7 Show Affiliations »
Abstract
OBJECTIVES: We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status and human mobility status. DESIGN: A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. SETTING: We use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1005 US counties. PARTICIPANTS: A total of 69 498 cases in China and 740 843 cases in the USA are used for calculating the effective reproductive numbers. PRIMARY OUTCOME MEASURES: Regression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value). RESULTS: Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the USA. CONCLUSIONS: Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature by 1°C is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI (-0.0395 to -0.0125)) in China and by 0.020 (95% CI (-0.0311 to -0.0096)) in the USA; an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI (-0.0108 to -0.0045)) in China and by 0.0080 (95% CI (-0.0150 to -0.0010)) in the USA. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
OBJECTIVES: We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status and human mobility status. DESIGN: A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. SETTING: We use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1005 US counties. PARTICIPANTS : A total of 69 498 cases in China and 740 843 cases in the USA are used for calculating the effective reproductive numbers. PRIMARY OUTCOME MEASURES: Regression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value). RESULTS: Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the USA. CONCLUSIONS: Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19 . Specifically, an increase in temperature by 1°C is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI (-0.0395 to -0.0125)) in China and by 0.020 (95% CI (-0.0311 to -0.0096)) in the USA; an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI (-0.0108 to -0.0045)) in China and by 0.0080 (95% CI (-0.0150 to -0.0010)) in the USA. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Chemical
Disease
Gene
Species
Keywords:
COVID-19; epidemiology; public health
Year: 2021
PMID： 33597143 DOI： 10.1136/bmjopen-2020-043863
Source DB: PubMed Journal: BMJ Open ISSN： 2044-6055 Impact factor: 2.692