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10.7554/eLife.65902 http://scihub22266oqcxt.onion/10.7554/eLife.65902 33904403!8277363!33904403     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33904403&cmd=llinks): Failed to open stream: HTTP request failed! 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Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses |pdf=|usr=}}{{33904403}} gab.com Text Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses JO: Elife http://www.kidney.de/pget.php?&tw=1&pmid=33904403 #FOAvip Ambient temperature and humidity strongly affect inactivation rates of enveloped viruses, but a mechanistic, quantitative theory of these effects has been elusive. We measure the stability of SARS-CoV-2 on an inert surface at nine temperature and humidity conditions and develop a mechanistic model to explain and predict how temperature and humidity alter virus inactivation. We find SARS-CoV-2 survives longest at low temperatures and extreme relative humidities (RH); median estimated virus half-life is >24 hr at 10 degrees C and 40% RH, but approximately 1.5 hr at 27 degrees C and 65% RH. Our mechanistic model uses fundamental chemistry to explain why inactivation rate increases with increased temperature and shows a U-shaped dependence on RH. The model accurately predicts existing measurements of five different human coronaviruses, suggesting that shared mechanisms may affect stability for many viruses. The results indicate scenarios of high transmission risk, point to mitigation strategies, and advance the mechanistic study of virus transmission. Twit Text FOAVip Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses ????Elife http://www.kidney.de/pget.php?&tw=1&pmid=33904403 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33904403 #FOAvip English Wikipedia <ref>{{Cite pmid|33904403}}</ref> Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses #MMPMID33904403 Morris DH; Yinda KC; Gamble A; Rossine FW; Huang Q; Bushmaker T; Fischer RJ; Matson MJ; Van Doremalen N; Vikesland PJ; Marr LC; Munster VJ; Lloyd-Smith JO Elife 2021[Jul]; 10 (ä): ä PMID33904403show ga Ambient temperature and humidity strongly affect inactivation rates of enveloped viruses, but a mechanistic, quantitative theory of these effects has been elusive. We measure the stability of SARS-CoV-2 on an inert surface at nine temperature and humidity conditions and develop a mechanistic model to explain and predict how temperature and humidity alter virus inactivation. We find SARS-CoV-2 survives longest at low temperatures and extreme relative humidities (RH); median estimated virus half-life is >24 hr at 10 degrees C and 40% RH, but approximately 1.5 hr at 27 degrees C and 65% RH. Our mechanistic model uses fundamental chemistry to explain why inactivation rate increases with increased temperature and shows a U-shaped dependence on RH. The model accurately predicts existing measurements of five different human coronaviruses, suggesting that shared mechanisms may affect stability for many viruses. The results indicate scenarios of high transmission risk, point to mitigation strategies, and advance the mechanistic study of virus transmission. |*Hot Temperature[MESH] |*Humidity[MESH] |*Models, Biological[MESH] |*Virus Inactivation[MESH] |COVID-19[MESH] |Humans[MESH]Mechanistic theory predicts the effects of temperature and humidity on(epmc).pdf DeepDyve Pubget Overpricing