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10.3390/ijerph17113955 http://scihub22266oqcxt.onion/10.3390/ijerph17113955 32503192!7312430!32503192     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       Int+J+Environ+Res+Public+Health 2020 ; 17 (11): ä Nephropedia Template TP {{tp|p=32503192|t=2020. A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China |pdf=|usr=}}{{32503192}} gab.com Text A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32503192 #FOAvip The world has been suffering from the COVID-19 pandemic since late 2019. In this study, we compared various types of infection locations in which COVID-19 cases clustered, based on the data from three adjacent provinces in Northeast China. The collected data include all officially reported cases in this area until 8 March 2020. We explored the associations between the cases and the frequency of infection locations. The COVID-19 epidemic situation was worse in Heilongjiang Province than in Liaoning and Jilin Provinces. Most clustered cases occurred in individual families and/or between relatives. The transmission in public venues served as a hub for transmitting the disease to other families and results in new clusters. The public transport spread the infection over long distances by transporting infected individuals, and most infections did not seem to occur within vehicles. This field study shows the effect of indoor environments on SARS-CoV-2 transmission and our data may be useful in developing guidance for future disease prevention and control. Twit Text FOAVip A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32503192 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32503192 #FOAvip English Wikipedia <ref>{{Cite pmid|32503192}}</ref> A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China #MMPMID32503192 Zhao P; Zhang N; Li Y Int J Environ Res Public Health 2020[Jun]; 17 (11): ä PMID32503192show ga The world has been suffering from the COVID-19 pandemic since late 2019. In this study, we compared various types of infection locations in which COVID-19 cases clustered, based on the data from three adjacent provinces in Northeast China. The collected data include all officially reported cases in this area until 8 March 2020. We explored the associations between the cases and the frequency of infection locations. The COVID-19 epidemic situation was worse in Heilongjiang Province than in Liaoning and Jilin Provinces. Most clustered cases occurred in individual families and/or between relatives. The transmission in public venues served as a hub for transmitting the disease to other families and results in new clusters. The public transport spread the infection over long distances by transporting infected individuals, and most infections did not seem to occur within vehicles. This field study shows the effect of indoor environments on SARS-CoV-2 transmission and our data may be useful in developing guidance for future disease prevention and control. |*Public Facilities[MESH] |*Workplace[MESH] |Betacoronavirus/isolation & purification[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Cluster Analysis[MESH] |Coronavirus Infections/*epidemiology/*transmission/virology[MESH] |Humans[MESH] |Pandemics/*statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology/*transmission/virology[MESH]A Comparison of Infection Venues of COVID-19 Case Clusters in Northeas(epmc).pdf DeepDyve Pubget Overpricing