Literature DB >> 33537279

Correlation Between Local Air Temperature and the COVID-19 Pandemic in Hubei, China.

Cheng-Yi Hu1,2, Lu-Shan Xiao2, Hong-Bo Zhu2,3, Hong Zhu4, Li Liu1,2.   

Abstract

Objective: To clarify the correlation between temperature and the COVID-19 pandemic in Hubei.
Methods: We collected daily newly confirmed COVID-19 cases and daily temperature for six cities in Hubei Province, assessed their correlations, and established regression models.
Results: For temperatures ranging from -3.9 to 16.5°C, daily newly confirmed cases were positively correlated with the maximum temperature ~0-4 days prior or the minimum temperature ~11-14 days prior to the diagnosis in almost all selected cities. An increase in the maximum temperature 4 days prior by 1°C was associated with an increase in the daily newly confirmed cases (~129) in Wuhan. The influence of temperature on the daily newly confirmed cases in Wuhan was much more significant than in other cities.
Conclusion: Government departments in areas where temperatures range between -3.9 and 16.5°C and rise gradually must take more active measures to address the COVID-19 pandemic.
Copyright © 2021 Hu, Xiao, Zhu, Zhu and Liu.

Entities:  

Keywords:  COVID-19; climate and health; daily new confirmed infections; infectious disease; temperature; weather-outbreak correlation

Year:  2021        PMID: 33537279      PMCID: PMC7848168          DOI: 10.3389/fpubh.2020.604870

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


  2 in total

1.  Analysis on the spatio-temporal characteristics of COVID-19 in mainland China.

Authors:  Biao Jin; Jianwan Ji; Wuheng Yang; Zhiqiang Yao; Dandan Huang; Chao Xu
Journal:  Process Saf Environ Prot       Date:  2021-06-07       Impact factor: 6.158

2.  Work Resumption Rate and Migrant Workers' Income During the COVID-19 Pandemic.

Authors:  Jiaxiang Li; Baoju Chu; Nana Chai; Bi Wu; Baofeng Shi; Feiya Ou
Journal:  Front Public Health       Date:  2021-05-21
  2 in total

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