EventsThe 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Published
This submission belongs to the session A. Infectious Disease Epidemiology of the event The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic
Published date
11 Jan, 2021
Citation
Romaan Hayat Khattak, Bi Wang, Zheng Xin, Influence of Temperature and Precipitation on the Climate Suitability of Severe Acute Respiratory Syndrome Coronavirus 2, in Proceedings of The 3rd International Electronic Conference on Environmental Research and Public Health —Public Health Issues in the Context of the COVID-19 Pandemic, 11 January–25 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/ECERPH-3-09012
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Influence of Temperature and Precipitation on the Climate Suitability of Severe Acute Respiratory Syndrome Coronavirus 2

Bi Wang 1
1. College of Animal Science, Guizhou University, Guiyang 550000, China
2. Tarim University, Alar 843300, P.R. China
3. Library of Northeast Forestry University, Harbin 150040, P.R. China
4. College of Wildlife and Protected Areas, Northeast Forestry University, Harbin 150040, P.R. China, China
Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has caused enormous losses worldwide since its emergence in 2019. We aimed to further understand how temperature and precipitation affect distribution of the virus, to facilitate taking preventive actions against the disease in a timely manner under varying climatic conditions. In this study, we used the MaxEnt model and R software to investigate temperature and precipitation factors that affect the fitness of SARS-CoV-2. Our results showed that low temperatures (approximately 0–17.5°C) and low precipitation (approximately 30 mm) greatly influence survival of the virus. However, the output value of the response curve was close to 1 with temperatures between 31°C and 37°C and monthly average precipitation 200 mm, which indicates that a high risk of SARS-CoV-2 transmission may also exist under these environmental conditions. SARS-CoV-2 can easily survive under conditions of low temperature and low precipitation; however, the virus also presents a high risk at 31–37°C and monthly precipitation of 200 mm. The results of this study provide a theoretical basis for predicting the spread of SARS-CoV-2.

Keywords
Severe acute respiratory syndrome coronavirus 2
Temperature
Precipitation
MaxEnt model
Akaike information criterion
True skill statistic.
Manuscript
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