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A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally
The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (Rt) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of Rt between 277 regions across the globe and the ass...
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Published in: | GeoHealth 2020-12, Vol.4 (12), p.e2020GH000292-n/a |
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description | The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (Rt) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of Rt between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the Rt started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when Rt started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain ~50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (RI) increases by 29.4% (25.2–34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face ~2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of RI is only −2.7% (−5.2–0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of RI suggests that a warm summer is unlikely to impede the spread of COVID‐19 naturally.
Key Points
Timeline of COVID‐19 outbreak in 277 regions across the globe was summarized
Proportion of elderly people or life expectancy can explain 50% of variation in transmission rate of COVID‐19 across the 277 regions
Temperature sensitivity of transmission rate at inflection point is estimated to be −2.7% (−5.2% to 0%) per degree Celsius |
doi_str_mv | 10.1029/2020GH000292 |
format | article |
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Key Points
Timeline of COVID‐19 outbreak in 277 regions across the globe was summarized
Proportion of elderly people or life expectancy can explain 50% of variation in transmission rate of COVID‐19 across the 277 regions
Temperature sensitivity of transmission rate at inflection point is estimated to be −2.7% (−5.2% to 0%) per degree Celsius</description><identifier>ISSN: 2471-1403</identifier><identifier>EISSN: 2471-1403</identifier><identifier>DOI: 10.1029/2020GH000292</identifier><identifier>PMID: 33173840</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Air temperature ; Coronaviruses ; COVID-19 ; Demography ; Disease transmission ; Environmental factors ; Geohealth ; Health risks ; Humidity ; Impacts of Climate Change: Human Health ; Investigations ; Low temperature ; Pandemics ; policy intervention ; Provinces ; Public Health ; Socioeconomic factors ; Summer ; temperature sensitivity ; The COVID‐19 Pandemic: Linking Health, Society and Environment ; transmission rate</subject><ispartof>GeoHealth, 2020-12, Vol.4 (12), p.e2020GH000292-n/a</ispartof><rights>2020 The Authors.</rights><rights>This article is protected by copyright. All rights reserved.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5094-8838690f2563f1accd1bccc5b04279a7332759c78e50d83cebacf98f09ea03</citedby><cites>FETCH-LOGICAL-c5094-8838690f2563f1accd1bccc5b04279a7332759c78e50d83cebacf98f09ea03</cites><orcidid>0000-0002-0251-2355 ; 0000-0001-5098-726X ; 0000-0001-9821-1268</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2473122515/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2473122515?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,11541,25731,27901,27902,36989,38493,43871,44566,46027,46451,53766,53768,74155,74869</link.rule.ids><linktorsrc>$$Uhttps://www.proquest.com/docview/2452003731?pq-origsite=primo$$EView_record_in_ProQuest$$FView_record_in_$$GProQuest</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33173840$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Su, Ming</creatorcontrib><creatorcontrib>Peng, Shushi</creatorcontrib><creatorcontrib>Chen, Lili</creatorcontrib><creatorcontrib>Wang, Bin</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Fan, Xiarui</creatorcontrib><creatorcontrib>Dong, Zhaomin</creatorcontrib><title>A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally</title><title>GeoHealth</title><addtitle>Geohealth</addtitle><description>The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (Rt) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of Rt between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the Rt started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when Rt started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain ~50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (RI) increases by 29.4% (25.2–34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face ~2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of RI is only −2.7% (−5.2–0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of RI suggests that a warm summer is unlikely to impede the spread of COVID‐19 naturally.
Key Points
Timeline of COVID‐19 outbreak in 277 regions across the globe was summarized
Proportion of elderly people or life expectancy can explain 50% of variation in transmission rate of COVID‐19 across the 277 regions
Temperature sensitivity of transmission rate at inflection point is estimated to be −2.7% (−5.2% to 0%) per degree Celsius</description><subject>Air temperature</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Demography</subject><subject>Disease transmission</subject><subject>Environmental factors</subject><subject>Geohealth</subject><subject>Health risks</subject><subject>Humidity</subject><subject>Impacts of Climate Change: Human Health</subject><subject>Investigations</subject><subject>Low temperature</subject><subject>Pandemics</subject><subject>policy intervention</subject><subject>Provinces</subject><subject>Public Health</subject><subject>Socioeconomic factors</subject><subject>Summer</subject><subject>temperature sensitivity</subject><subject>The COVID‐19 Pandemic: Linking Health, Society and Environment</subject><subject>transmission rate</subject><issn>2471-1403</issn><issn>2471-1403</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNp9kc1KAzEUhYMoKrU71xJwa_UmmTSTjSDV_kCx4O8ypGlGR2cmNZlRuvMRfEafxEir1I2re-B-nHu4B6F9AscEqDyhQGEwBIiabqBdmgjSIQmwzTW9g9ohPEWGiJRKwbfRDmNEsDSBXdQ_w_fal_i6KUvrcR7wbVXkz7ZY4Nrh69rN8Y3XVSjzEHJXYZfh3uRudP75_kEkvtR143VRLPbQVqaLYNur2UJX_Yub3rAzngxGvbNxx3CQSSdNWdqVkFHeZRnRxszI1BjDp5BQIbVgjAoujUgth1nKjJ1qk8k0A2k1sBY6XZrOm2lpZ8ZWdTyu5j4vtV8op3P1d1Plj-rBvSrRTbhMutHgcGXg3UtjQ62eXOOrGFjFbzFCKSf8f4pTABbRSB0tKeNdCN5mvzkIqO9u1Ho3ET9Yz_4L_zQRAVgCb3lhF_-aqcGQEpmwL48wldM</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Su, Ming</creator><creator>Peng, Shushi</creator><creator>Chen, Lili</creator><creator>Wang, Bin</creator><creator>Wang, Ying</creator><creator>Fan, Xiarui</creator><creator>Dong, Zhaomin</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>COVID</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0251-2355</orcidid><orcidid>https://orcid.org/0000-0001-5098-726X</orcidid><orcidid>https://orcid.org/0000-0001-9821-1268</orcidid></search><sort><creationdate>202012</creationdate><title>A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally</title><author>Su, Ming ; Peng, Shushi ; Chen, Lili ; Wang, Bin ; Wang, Ying ; Fan, Xiarui ; Dong, Zhaomin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5094-8838690f2563f1accd1bccc5b04279a7332759c78e50d83cebacf98f09ea03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air temperature</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Demography</topic><topic>Disease transmission</topic><topic>Environmental factors</topic><topic>Geohealth</topic><topic>Health risks</topic><topic>Humidity</topic><topic>Impacts of Climate Change: Human Health</topic><topic>Investigations</topic><topic>Low temperature</topic><topic>Pandemics</topic><topic>policy intervention</topic><topic>Provinces</topic><topic>Public Health</topic><topic>Socioeconomic factors</topic><topic>Summer</topic><topic>temperature sensitivity</topic><topic>The COVID‐19 Pandemic: Linking Health, Society and Environment</topic><topic>transmission rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Ming</creatorcontrib><creatorcontrib>Peng, Shushi</creatorcontrib><creatorcontrib>Chen, Lili</creatorcontrib><creatorcontrib>Wang, Bin</creatorcontrib><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Fan, Xiarui</creatorcontrib><creatorcontrib>Dong, Zhaomin</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>GeoHealth</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Su, Ming</au><au>Peng, Shushi</au><au>Chen, Lili</au><au>Wang, Bin</au><au>Wang, Ying</au><au>Fan, Xiarui</au><au>Dong, Zhaomin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally</atitle><jtitle>GeoHealth</jtitle><addtitle>Geohealth</addtitle><date>2020-12</date><risdate>2020</risdate><volume>4</volume><issue>12</issue><spage>e2020GH000292</spage><epage>n/a</epage><pages>e2020GH000292-n/a</pages><issn>2471-1403</issn><eissn>2471-1403</eissn><abstract>The outbreak of coronavirus disease 2019 (COVID‐19) showed various transmission rate (Rt) across different regions. The determination of the factors affecting transmission rate is urgent and crucial to combat COVID‐19. Here we explored variation of Rt between 277 regions across the globe and the associated potential socioeconomic, demographic, and environmental factors. At global scale, the Rt started to decrease approximately 2 weeks after policy interventions initiated. This lag from the date of policy interventions initiation to the date when Rt started to decrease ranges from 9 to 19 days, largest in Europe and North America. We find that proportion of elderly people or life expectancy can explain ~50% of variation in transmission rate across the 277 regions. The transmission rate at the point of inflection (RI) increases by 29.4% (25.2–34.0%) for 1% uptick in the proportion of people aged above 65, indicating that elderly people face ~2.5 times higher infection risk than younger people. Air temperature is negatively correlated with transmission rate, which is mainly attributed to collinearities between air temperature and demographic factors. Our model predicted that temperature sensitivity of RI is only −2.7% (−5.2–0%) per degree Celsius after excluding collinearities between air temperature and demographic factors. This low temperature sensitivity of RI suggests that a warm summer is unlikely to impede the spread of COVID‐19 naturally.
Key Points
Timeline of COVID‐19 outbreak in 277 regions across the globe was summarized
Proportion of elderly people or life expectancy can explain 50% of variation in transmission rate of COVID‐19 across the 277 regions
Temperature sensitivity of transmission rate at inflection point is estimated to be −2.7% (−5.2% to 0%) per degree Celsius</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>33173840</pmid><doi>10.1029/2020GH000292</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0251-2355</orcidid><orcidid>https://orcid.org/0000-0001-5098-726X</orcidid><orcidid>https://orcid.org/0000-0001-9821-1268</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air temperature Coronaviruses COVID-19 Demography Disease transmission Environmental factors Geohealth Health risks Humidity Impacts of Climate Change: Human Health Investigations Low temperature Pandemics policy intervention Provinces Public Health Socioeconomic factors Summer temperature sensitivity The COVID‐19 Pandemic: Linking Health, Society and Environment transmission rate |
title | A Warm Summer is Unlikely to Stop Transmission of COVID‐19 Naturally |
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