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10.1186/s40779-021-00325-4 http://scihub22266oqcxt.onion/10.1186/s40779-021-00325-4 34001251!8128624!34001251     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Mil+Med+Res 2021 ; 8 (1): 31 Nephropedia Template TP {{tp|p=34001251|t=2021. Predictive modelling for COVID-19 outbreak control: lessons from the navy cluster in Sri Lanka |pdf=|usr=}}{{34001251}} gab.com Text Predictive modelling for COVID-19 outbreak control: lessons from the navy cluster in Sri Lanka JO: Mil Med Res http://www.kidney.de/pget.php?&tw=1&pmid=34001251 #FOAvip In response to an outbreak of coronavirus disease 2019 (COVID-19) within a cluster of Navy personnel in Sri Lanka commencing from 22nd April 2020, an aggressive outbreak management program was launched by the Epidemiology Unit of the Ministry of Health. To predict the possible number of cases within the susceptible population under four social distancing scenarios, the COVID-19 Hospital Impact Model for Epidemics (CHIME) was used. With increasing social distancing, the epidemiological curve flattened, and its peak shifted to the right. The observed or actually reported number of cases was above the projected number of cases at the onset; however, subsequently, it fell below all predicted trends. Predictive modelling is a useful tool for the control of outbreaks such as COVID-19 in a closed community. Twit Text FOAVip Predictive modelling for COVID-19 outbreak control: lessons from the navy cluster in Sri Lanka ????Mil Med Res http://www.kidney.de/pget.php?&tw=1&pmid=34001251 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34001251 #FOAvip English Wikipedia <ref>{{Cite pmid|34001251}}</ref> Predictive modelling for COVID-19 outbreak control: lessons from the navy cluster in Sri Lanka #MMPMID34001251 Wijesekara NWANY; Herath N; Kodituwakku KALC; Herath HDB; Ginige S; Ruwanpathirana T; Kariyawasam M; Samaraweera S; Herath A; Jayawardena S; Gamge D Mil Med Res 2021[May]; 8 (1): 31 PMID34001251show ga In response to an outbreak of coronavirus disease 2019 (COVID-19) within a cluster of Navy personnel in Sri Lanka commencing from 22nd April 2020, an aggressive outbreak management program was launched by the Epidemiology Unit of the Ministry of Health. To predict the possible number of cases within the susceptible population under four social distancing scenarios, the COVID-19 Hospital Impact Model for Epidemics (CHIME) was used. With increasing social distancing, the epidemiological curve flattened, and its peak shifted to the right. The observed or actually reported number of cases was above the projected number of cases at the onset; however, subsequently, it fell below all predicted trends. Predictive modelling is a useful tool for the control of outbreaks such as COVID-19 in a closed community. |*Military Personnel[MESH] |*Models, Statistical[MESH] |COVID-19/*prevention & control/transmission[MESH] |Communicable Disease Control/methods/statistics & numerical data[MESH] |Computational Biology[MESH] |Epidemics/prevention & control[MESH] |Humans[MESH] |SARS-CoV-2[MESH]Predictive modelling for COVID-19 outbreak control: lessons from the n(epmc).pdf DeepDyve Pubget Overpricing