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10.1016/j.scitotenv.2020.138201 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138201 32408450!7142675!32408450     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 724 (ä): 138201 Nephropedia Template TP {{tp|p=32408450|t=2020. Association between ambient temperature and COVID-19 infection in 122 cities from China |pdf=|usr=}}{{32408450}} gab.com Text Association between ambient temperature and COVID-19 infection in 122 cities from China JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32408450 #FOAvip BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a severe public health problem globally. Both epidemiological and laboratory studies have shown that ambient temperature could affect the transmission and survival of coronaviruses. This study aimed to determine whether the temperature is an essential factor in the infection caused by this novel coronavirus. METHODS: Daily confirmed cases and meteorological factors in 122 cities were collected between January 23, 2020, to February 29, 2020. A generalized additive model (GAM) was applied to explore the nonlinear relationship between mean temperature and COVID-19 confirmed cases. We also used a piecewise linear regression to determine the relationship in detail. RESULTS: The exposure-response curves suggested that the relationship between mean temperature and COVID-19 confirmed cases was approximately linear in the range of <3 degrees C and became flat above 3 degrees C. When mean temperature (lag0-14) was below 3 degrees C, each 1 degrees C rise was associated with a 4.861% (95% CI: 3.209-6.513) increase in the daily number of COVID-19 confirmed cases. These findings were robust in our sensitivity analyses. CONCLUSIONS: Our results indicate that mean temperature has a positive linear relationship with the number of COVID-19 cases with a threshold of 3 degrees C. There is no evidence supporting that case counts of COVID-19 could decline when the weather becomes warmer, which provides useful implications for policymakers and the public. Twit Text FOAVip Association between ambient temperature and COVID-19 infection in 122 cities from China ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32408450 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32408450 #FOAvip English Wikipedia <ref>{{Cite pmid|32408450}}</ref> Association between ambient temperature and COVID-19 infection in 122 cities from China #MMPMID32408450 Xie J; Zhu Y Sci Total Environ 2020[Jul]; 724 (ä): 138201 PMID32408450show ga BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a severe public health problem globally. Both epidemiological and laboratory studies have shown that ambient temperature could affect the transmission and survival of coronaviruses. This study aimed to determine whether the temperature is an essential factor in the infection caused by this novel coronavirus. METHODS: Daily confirmed cases and meteorological factors in 122 cities were collected between January 23, 2020, to February 29, 2020. A generalized additive model (GAM) was applied to explore the nonlinear relationship between mean temperature and COVID-19 confirmed cases. We also used a piecewise linear regression to determine the relationship in detail. RESULTS: The exposure-response curves suggested that the relationship between mean temperature and COVID-19 confirmed cases was approximately linear in the range of <3 degrees C and became flat above 3 degrees C. When mean temperature (lag0-14) was below 3 degrees C, each 1 degrees C rise was associated with a 4.861% (95% CI: 3.209-6.513) increase in the daily number of COVID-19 confirmed cases. These findings were robust in our sensitivity analyses. CONCLUSIONS: Our results indicate that mean temperature has a positive linear relationship with the number of COVID-19 cases with a threshold of 3 degrees C. There is no evidence supporting that case counts of COVID-19 could decline when the weather becomes warmer, which provides useful implications for policymakers and the public. |*Temperature[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Cities[MESH] |Coronavirus Infections/*epidemiology[MESH] |Environmental Exposure/*statistics & numerical data[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH]Association between ambient temperature and COVID-19 infection in 122 (epmc).pdf DeepDyve Pubget Overpricing