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10.1016/j.ijid.2020.06.105 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.06.105 C7334968!7334968 !32634588     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32634588 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Int+J+Infect+Dis 2020 ; 98 (ä): 321-327 Nephropedia Template TP {{tp|p=32634588 |t=2020. Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities |pdf=|usr=}}{{32634588 }} gab.com Text Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32634588 #FOAvip BACKGROUND: The reproduction number (R(0)) is vital in epidemiology to estimate the number of infected people and trace close contacts. R(0) values vary depending on social activity and type of gathering events that induce infection transmissibility and its pathophysiology dependence. OBJECTIVES: In this study, we estimated the probable outbreak size of COVID-19 clusters mathematically using a simple model that can predict the number of COVID-19 cases as a function of time. METHODS: We proposed a mathematical model to estimate the R(0) of COVID-19 in an outbreak occurring in both local and international clusters in light of published data. Different types of clusters (religious, wedding, and industrial activity) were selected based on reported events in different countries between February and April 2020. RESULTS: The highest R(0) values were found in wedding party events (5), followed by religious gathering events (2.5), while the lowest value was found in the industrial cluster (2). In return, this will enable us to assess the trend of coronavirus spread by comparing the model results and observed patterns. CONCLUSIONS: This study provides predictive COVID-19 transmission patterns in different cluster types based on different R(0) values. This model offers a contact-tracing task with the predicted number of cases, to decision-makers; this would help them in epidemiological investigations by knowing when to stop. Twit Text FOAVip Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32634588 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32634588 #FOAvip English Wikipedia <ref>{{Cite pmid|32634588 }}</ref> Estimation of the probable outbreak size of novel coronavirus (COVID-19) in social gathering events and industrial activities #MMPMID32634588 Saidan MN ; Shbool MA ; Arabeyyat OS ; Al-Shihabi ST ; Abdallat YA ; Barghash MA ; Saidan H Int J Infect Dis 2020[Sep]; 98 (ä): 321-327 PMID32634588 show ga BACKGROUND: The reproduction number (R(0)) is vital in epidemiology to estimate the number of infected people and trace close contacts. R(0) values vary depending on social activity and type of gathering events that induce infection transmissibility and its pathophysiology dependence. OBJECTIVES: In this study, we estimated the probable outbreak size of COVID-19 clusters mathematically using a simple model that can predict the number of COVID-19 cases as a function of time. METHODS: We proposed a mathematical model to estimate the R(0) of COVID-19 in an outbreak occurring in both local and international clusters in light of published data. Different types of clusters (religious, wedding, and industrial activity) were selected based on reported events in different countries between February and April 2020. RESULTS: The highest R(0) values were found in wedding party events (5), followed by religious gathering events (2.5), while the lowest value was found in the industrial cluster (2). In return, this will enable us to assess the trend of coronavirus spread by comparing the model results and observed patterns. CONCLUSIONS: This study provides predictive COVID-19 transmission patterns in different cluster types based on different R(0) values. This model offers a contact-tracing task with the predicted number of cases, to decision-makers; this would help them in epidemiological investigations by knowing when to stop. |Betacoronavirus/physiology [MESH] |COVID-19 [MESH] |Coronavirus Infections/*epidemiology/prevention & control/*transmission/virology [MESH] |Humans [MESH] |Models, Theoretical [MESH] |Pandemics/prevention & control [MESH] |Physical Distancing [MESH] |Pneumonia, Viral/*epidemiology/prevention & control/*transmission/virology [MESH]Estimation of the probable outbreak size of novel coronavirus (COVID-1(epmc).pdf DeepDyve Pubget Overpricing