Please login first
Nexus between temperature and COVID-19 pandemic: A meta-analysis
1 , * 2 , 3 , 4 , 5 , 1
1  Hubei University of Economics
2  School of Business, Central South University, Changsha, 410083, Hunan, PR China
3  Department of Economics and Business Administration, University of Education, Lahore, Pakistan
4  The Business School, University of International Business and Economics, Beijing 100029, China
5  School of Economics, Nankai University, Tianjin, PR China


Background: After the outbreak of the novel coronavirus (COVID-19) pandemic, the impact of temperature became a debatable issue among researchers and policymakers. Extant research has examined the relationship between COVID-19 pandemic and temperature; however, existing research remains inconclusive so far. Hence, the current study aims to synthesize these mixed findings to confirm the relationship between temperature and the COVID-19 outbreak and determine the possible causes of the inconclusive conclusions in prior research.

Methods: For this meta-analysis, we retrieved the empirical studies from Scopus and Web of Science using the keywords "temperature," "coronavirus","SARS-COV-2," and "COVID-19". Following PRISMA guidelines, we have selected 63 studies that have reported the correlation coefficient values between temperature and COVID-19 pandemic. We have applied fixed-effects meta-analysis regression for this study.

Results: Our study fails to find a significant association between COVID-19 pandemic and temperature. We find that healthcare resources, COVID-19 response strategies, and climate zones play a moderating role in the relationship between COVID-19 and temperature.

Conclusion and Implications: Our findings help health practitioners and policymakers in combating the COVID-19 pandemic. Current research fails to establish the direct association between temperature and COVID-19; hence our results suggest that instead of relying on meteorological indicators, policymakers need to utilize health care resources better and effectively execute COVID-19 strategies.

Keywords: COVID-19; temperature; meta-analysis.