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10.2139/ssrn.3550308

http://scihub22266oqcxt.onion/10.2139/ssrn.3550308
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32714105!7366819!32714105
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suck abstract from ncbi


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pmid32714105      SSRN 2020 ; ä (ä): 3550308
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  • Temperature, humidity, and latitude analysis to predict potential spread and seasonality for COVID-19 #MMPMID32714105
  • Sajadi MM; Habibzadeh P; Vintzileos A; Shokouhi S; Miralles-Wilhelm F; Amoroso A
  • SSRN 2020[Mar]; ä (ä): 3550308 PMID32714105show ga
  • BACKGROUND: A significant number of infectious diseases display seasonal patterns in their incidence, including human coronaviruses. Betacoronaviruses such as MERS-CoV and SARS-CoV are not thought to be seasonal. METHODS: We examined climate data from cities with significant community spread of COVID-19 using ERA-5 reanalysis, and compared to areas that are either not affected, or do not have significant community spread. RESULTS: To date, Coronavirus Disease 2019 (COVID-19), caused by SARS-CoV-2, has established significant community spread in cities and regions along a narrow east west distribution roughly along the 30-50 degrees N' corridor at consistently similar weather patterns consisting of average temperatures of 5-11 degrees C, combined with low specific (3-6 g/kg) and absolute humidity (4-7 g/m(3)). There has been a lack of significant community establishment in expected locations that are based only on population proximity and extensive population interaction through travel. CONCLUSIONS AND RELEVANCE: The distribution of significant community outbreaks along restricted latitude, temperature, and humidity are consistent with the behavior of a seasonal respiratory virus. Additionally, we have proposed a simplified model that shows a zone at increased risk for COVID-19 spread. Using weather modeling, it may be possible to predict the regions most likely to be at higher risk of significant community spread of COVID-19 in the upcoming weeks, allowing for concentration of public health efforts on surveillance and containment.
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