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10.1073/pnas.2019284118 http://scihub22266oqcxt.onion/10.1073/pnas.2019284118 34103391!8237566!34103391     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34103391&cmd=llinks): Failed to open stream: HTTP request failed! 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Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions |pdf=|usr=}}{{34103391}} gab.com Text Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=34103391 #FOAvip As COVID-19 continues to spread across the world, it is increasingly important to understand the factors that influence its transmission. Seasonal variation driven by responses to changing environment has been shown to affect the transmission intensity of several coronaviruses. However, the impact of the environment on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains largely unknown, and thus seasonal variation remains a source of uncertainty in forecasts of SARS-CoV-2 transmission. Here we address this issue by assessing the association of temperature, humidity, ultraviolet radiation, and population density with estimates of transmission rate (R). Using data from the United States, we explore correlates of transmission across US states using comparative regression and integrative epidemiological modeling. We find that policy intervention ("lockdown") and reductions in individuals' mobility are the major predictors of SARS-CoV-2 transmission rates, but, in their absence, lower temperatures and higher population densities are correlated with increased SARS-CoV-2 transmission. Our results show that summer weather cannot be considered a substitute for mitigation policies, but that lower autumn and winter temperatures may lead to an increase in transmission intensity in the absence of policy interventions or behavioral changes. We outline how this information may improve the forecasting of COVID-19, reveal its future seasonal dynamics, and inform intervention policies. Twit Text FOAVip Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=34103391 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34103391 #FOAvip English Wikipedia <ref>{{Cite pmid|34103391}}</ref> Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions #MMPMID34103391 Smith TP; Flaxman S; Gallinat AS; Kinosian SP; Stemkovski M; Unwin HJT; Watson OJ; Whittaker C; Cattarino L; Dorigatti I; Tristem M; Pearse WD Proc Natl Acad Sci U S A 2021[Jun]; 118 (25): ä PMID34103391show ga As COVID-19 continues to spread across the world, it is increasingly important to understand the factors that influence its transmission. Seasonal variation driven by responses to changing environment has been shown to affect the transmission intensity of several coronaviruses. However, the impact of the environment on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains largely unknown, and thus seasonal variation remains a source of uncertainty in forecasts of SARS-CoV-2 transmission. Here we address this issue by assessing the association of temperature, humidity, ultraviolet radiation, and population density with estimates of transmission rate (R). Using data from the United States, we explore correlates of transmission across US states using comparative regression and integrative epidemiological modeling. We find that policy intervention ("lockdown") and reductions in individuals' mobility are the major predictors of SARS-CoV-2 transmission rates, but, in their absence, lower temperatures and higher population densities are correlated with increased SARS-CoV-2 transmission. Our results show that summer weather cannot be considered a substitute for mitigation policies, but that lower autumn and winter temperatures may lead to an increase in transmission intensity in the absence of policy interventions or behavioral changes. We outline how this information may improve the forecasting of COVID-19, reveal its future seasonal dynamics, and inform intervention policies. |*Cold Temperature[MESH] |*Population Density[MESH] |Basic Reproduction Number[MESH] |COVID-19/epidemiology/prevention & control/*transmission[MESH] |Communicable Disease Control/legislation & jurisprudence[MESH] |Forecasting[MESH] |Humans[MESH] |Movement[MESH] |SARS-CoV-2[MESH] |Seasons[MESH]Temperature and population density influence SARS-CoV-2 transmission i(epmc).pdf DeepDyve Pubget Overpricing