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Warmer weather and global trends in the coronavirus COVID-19
Hong Li; Hongwei Xiao; Renguo Zhu; Chengxing Sun; Cheng Liu; Huayun Xiao.
Affiliation
  • Hong Li; Shanghai Jiao Tong University
  • Hongwei Xiao; East China University of Technology
  • Renguo Zhu; East China University of Technology
  • Chengxing Sun; Shanghai Jiao Tong University
  • Cheng Liu; East China University of Technology
  • Huayun Xiao; Shanghai Jiao Tong University
Preprint in English | medRxiv | ID: ppmedrxiv-20084004
ABSTRACT
Predicting COVID-19 epidemic development in the upcoming warm season has attracted much attention in the hope of providing helps to fight the epidemic. It requires weather (environmental) factors to be included in prediction models, but there are few models to achieve it successfully. In this study, we proposed a new concept of environmental infection rate (RE), based on floating time of respiratory droplets in the air and inactivation rate of virus to solve the problem. More than half of the particles in the droplets can float in the atmosphere for 1-2 hours. The prediction results showed that high RE values (>3.5) are scattered around 30{degrees}N in winter (Dec.-Feb.). As the weather warms, its distribution area expands and extends to higher latitudes of northern hemisphere, reaching its maximum in April, and then shrinking northward. These indicated that the spread of COVID-19 in most parts of the northern hemisphere is expected to decline after Apr., but the risks in high latitudes will remain high in May. In the south of southern hemisphere, the RE values tend to subside from Apr. to July. The high modeled RE values up to July, however, suggested that warmer weather will not stop COVID-19 from spreading. Public health intervention is needed to overcome the outbreak.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
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