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10.1016/j.idm.2020.08.006 http://scihub22266oqcxt.onion/10.1016/j.idm.2020.08.006 32835144!7423578!32835144     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Dis+Model 2020 ; 5 (ä): 536-542 Nephropedia Template TP {{tp|p=32835144|t=2020. Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic |pdf=|usr=}}{{32835144}} gab.com Text Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic JO: Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=32835144 #FOAvip Logistic models have been widely used for modelling the ongoing COVID-19 pandemic. This study used the data for Kuwait to assess the adequacy of the two most commonly used logistic models (Verhulst and Richards models) for describing the dynamics COVID-19. Specifically, the study assessed the predictive performance of these two models and the practical identifiability of their parameters. Two model calibration approaches were adopted. In the first approach, all the data was used to fit the models as per the heuristic model fitting method. In the second approach, only the first half of the data was used for calibrating the models, while the other half was left for validating the models. Analysis of the obtained calibration and validation results have indicated that parameters of the two models cannot be identified with high certainty from COVID-19 data. Further, the models shown to have structural problems as they could not predict reasonably the validation data. Therefore, they should not be used for long-term predictions of COVID-19. Suggestion have been made for improving the performances of the models. Twit Text FOAVip Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic ????Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=32835144 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32835144 #FOAvip English Wikipedia <ref>{{Cite pmid|32835144}}</ref> Adequacy of Logistic models for describing the dynamics of COVID-19 pandemic #MMPMID32835144 Abusam A; Abusam R; Al-Anzi B Infect Dis Model 2020[]; 5 (ä): 536-542 PMID32835144show ga Logistic models have been widely used for modelling the ongoing COVID-19 pandemic. This study used the data for Kuwait to assess the adequacy of the two most commonly used logistic models (Verhulst and Richards models) for describing the dynamics COVID-19. Specifically, the study assessed the predictive performance of these two models and the practical identifiability of their parameters. Two model calibration approaches were adopted. In the first approach, all the data was used to fit the models as per the heuristic model fitting method. In the second approach, only the first half of the data was used for calibrating the models, while the other half was left for validating the models. Analysis of the obtained calibration and validation results have indicated that parameters of the two models cannot be identified with high certainty from COVID-19 data. Further, the models shown to have structural problems as they could not predict reasonably the validation data. Therefore, they should not be used for long-term predictions of COVID-19. Suggestion have been made for improving the performances of the models. äAdequacy of Logistic models for describing the dynamics of COVID-19 pa(epmc).pdf DeepDyve Pubget Overpricing