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DC Field | Value | Language |
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dc.contributor.author | Mengyuan Ren | en_US |
dc.contributor.author | Rongjuan Pei | en_US |
dc.contributor.author | Bahabaike Jiangtulu | en_US |
dc.contributor.author | Junxi Chen | en_US |
dc.contributor.author | Tao Xue | en_US |
dc.contributor.author | Guofeng Shen | en_US |
dc.contributor.author | Xiaoru Yuan | en_US |
dc.contributor.author | Kexin Li | en_US |
dc.contributor.author | Changxin Lan | en_US |
dc.contributor.author | Zhen Chen | en_US |
dc.contributor.author | Xinwen Chen | en_US |
dc.contributor.author | Yun Wang | en_US |
dc.contributor.author | Xiaoqian Jia | en_US |
dc.contributor.author | Zewu Li | en_US |
dc.contributor.author | Audil Rashid | en_US |
dc.contributor.author | Tippawan Prapamontol | en_US |
dc.contributor.author | Xiuge Zhao | en_US |
dc.contributor.author | Zhaomin Dong | en_US |
dc.contributor.author | Yali Zhang | en_US |
dc.contributor.author | Le Zhang | en_US |
dc.contributor.author | Rongwei Ye | en_US |
dc.contributor.author | Zhiwen Li | en_US |
dc.contributor.author | Wuxiang Guan | en_US |
dc.contributor.author | Bin Wang | en_US |
dc.date.accessioned | 2022-10-16T07:33:08Z | - |
dc.date.available | 2022-10-16T07:33:08Z | - |
dc.date.issued | 2021-02-28 | en_US |
dc.identifier.issn | 26666758 | en_US |
dc.identifier.other | 2-s2.0-85103120178 | en_US |
dc.identifier.other | 10.1016/j.xinn.2020.100071 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103120178&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/77571 | - |
dc.description.abstract | The COVID-19 outbreak has already become a global pandemic and containing this rapid worldwide transmission is of great challenge. The impacts of temperature and humidity on the COVID-19 transmission rate are still under discussion. Here, we elucidated these relationships by utilizing two unique scenarios, repeated measurement and natural experiment, using the COVID-19 cases reported from January 23 – February 21, 2020, in China. The modeling results revealed that higher temperature was most strongly associated with decreased COVID-19 transmission at a lag time of 8 days. Relative humidity (RH) appeared to have only a slight effect. These findings were verified by assessing SARS-CoV-2 infectivity under the relevant conditions of temperature (4°C–37°C) and RH (> 40%). We concluded that temperature increase made an important, but not determined, contribution to restrain the COVID-19 outbreak in China. It suggests that the emphasis of other effective controlling polices should be strictly implemented to restrain COVID-19 transmission in cold seasons. | en_US |
dc.subject | Multidisciplinary | en_US |
dc.title | Contribution of Temperature Increase to Restrain the Transmission of COVID-19 | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | The Innovation | en_US |
article.volume | 2 | en_US |
article.stream.affiliations | Key Laboratory of Machine Perception, Ministry of Education | en_US |
article.stream.affiliations | University of Gujrat | en_US |
article.stream.affiliations | Chinese Research Academy of Environmental Sciences | en_US |
article.stream.affiliations | Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences | en_US |
article.stream.affiliations | Wuhan Institute of Virology Chinese Academy of Sciences | en_US |
article.stream.affiliations | Peking University | en_US |
article.stream.affiliations | Beihang University | en_US |
article.stream.affiliations | Peking University Health Science Center | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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