4.7 Article

Could the ambient higher temperature decrease the transmissibility of COVID-19 in China?

期刊

ENVIRONMENTAL RESEARCH
卷 193, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2020.110576

关键词

COVID-19; Ambient temperature; Transmissibility; Ecological association

资金

  1. Ningxia Key Research and Development Plan Science and Technology Support Project [2020GZBD0004]
  2. National Natural Science Foundation of China [81860603, 12061058]
  3. Natural Science Foundation of Ningxia [2020AAC03188]

向作者/读者索取更多资源

An analysis of data from different regions in China found that while ambient temperature may have some impact on the transmissibility of COVID-19, there is currently no clear statistical evidence to suggest that higher temperatures can reduce disease transmission. Caution should be exercised when interpreting the study's findings due to the intensive control measures implemented in China.
Background: Existing literatures demonstrated that meteorological factors could be of importance in affecting the spread patterns of the respiratory infectious diseases. However, how ambient temperature may influence the transmissibility of COVID-19 remains unclear. Objectives: We explore the association between ambient temperature and transmissibility of COVID-19 in different regions across China. Methods: The surveillance data on COVID-19 and meteorological factors were collected from 28 provincial level regions in China, and estimated the instantaneous reproductive number (Rt). The generalized additive model was used to assess the relationship between mean temperature and Rt. Results: There were 12,745 COVID-19 cases collected in the study areas. We report the associated effect of temperature on Rt is likely to be negative but not of statistical significance, which holds for most Chinese regions. Conclusions: We found little statistical evidence for that the higher temperature may reduce the transmissibility of COVID-19. Since intensive control measures against the COVID-19 epidemics were implemented in China, we acknowledge this may impact the underlying effect size estimation, and thus cautiousness should be taken when interpreting our findings.

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