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10.3760/cma.j.cn112150-20200315-00340 http://scihub22266oqcxt.onion/10.3760/cma.j.cn112150-20200315-00340 32842277!ä!32842277 Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538 Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538       Zhonghua+Yu+Fang+Yi+Xue+Za+Zhi 2020 ; 54 (6): 602-607 Nephropedia Template TP {{tp|p=32842277|t=2020. Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions |pdf=|usr=}}{{32842277}} gab.com Text Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions JO: Zhonghua Yu Fang Yi Xue Za Zhi http://www.kidney.de/pget.php?&tw=1&pmid=32842277 #FOAvip During the epidemics of COVID-19 in domestic China and recently continuing rapid spread worldwide, a bunch of studies fitted the epidemics by transmission dynamics model to nowcast and forecast the trend of epidemics of COVID-19. However, due to little known of the new virus in early stage and much uncertainty in the comprehensive strategies of prevention and control for epidemics, majority of models, not surprisingly, predict in less accuracy, although the dynamics model has its great value in better understanding of transmission. This comment discusses the principle assumptions and limitations of the dynamics model in forecasting the epidemic trend, as well as its great potential role in evaluating the efforts of prevention and control strategies. Twit Text FOAVip Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions ????Zhonghua Yu Fang Yi Xue Za Zhi http://www.kidney.de/pget.php?&tw=1&pmid=32842277 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32842277 #FOAvip English Wikipedia <ref>{{Cite pmid|32842277}}</ref> Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions #MMPMID32842277 Wei YY; Zhao Y; Chen F; Shen HB Zhonghua Yu Fang Yi Xue Za Zhi 2020[Jun]; 54 (6): 602-607 PMID32842277show ga During the epidemics of COVID-19 in domestic China and recently continuing rapid spread worldwide, a bunch of studies fitted the epidemics by transmission dynamics model to nowcast and forecast the trend of epidemics of COVID-19. However, due to little known of the new virus in early stage and much uncertainty in the comprehensive strategies of prevention and control for epidemics, majority of models, not surprisingly, predict in less accuracy, although the dynamics model has its great value in better understanding of transmission. This comment discusses the principle assumptions and limitations of the dynamics model in forecasting the epidemic trend, as well as its great potential role in evaluating the efforts of prevention and control strategies. |*Epidemics/prevention & control[MESH] |*Models, Biological[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/epidemiology[MESH] |Forecasting[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/epidemiology[MESH] Principles of dynamics model and its application in forecasting the e(epmc).pdf DeepDyve Pubget Overpricing