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10.1002/cpt.2160 http://scihub22266oqcxt.onion/10.1002/cpt.2160 33410134!8142935!33410134     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 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       Clin+Pharmacol+Ther 2021 ; 109 (4): 829-840 Nephropedia Template TP {{tp|p=33410134|t=2021. Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics |pdf=|usr=}}{{33410134}} gab.com Text Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics JO: Clin Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=33410134 #FOAvip Modern viral kinetic modeling and its application to therapeutics is a field that attracted the attention of the medical, pharmaceutical, and modeling communities during the early days of the AIDS epidemic. Its successes led to applications of modeling methods not only to HIV but a plethora of other viruses, such as hepatitis C virus (HCV), hepatitis B virus and cytomegalovirus, which along with HIV cause chronic diseases, and viruses such as influenza, respiratory syncytial virus, West Nile virus, Zika virus, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which generally cause acute infections. Here we first review the historical development of mathematical models to understand HIV and HCV infections and the effects of treatment by fitting the models to clinical data. We then focus on recent efforts and contributions of applying these models towards understanding SARS-CoV-2 infection and highlight outstanding questions where modeling can provide crucial insights and help to optimize nonpharmaceutical and pharmaceutical interventions of the coronavirus disease 2019 (COVID-19) pandemic. The review is written from our personal perspective emphasizing the power of simple target cell limited models that provided important insights and then their evolution into more complex models that captured more of the virology and immunology. To quote Albert Einstein, "Everything should be made as simple as possible, but not simpler," and this idea underlies the modeling we describe below. Twit Text FOAVip Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics ????Clin Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=33410134 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33410134 #FOAvip English Wikipedia <ref>{{Cite pmid|33410134}}</ref> Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics #MMPMID33410134 Perelson AS; Ke R Clin Pharmacol Ther 2021[Apr]; 109 (4): 829-840 PMID33410134show ga Modern viral kinetic modeling and its application to therapeutics is a field that attracted the attention of the medical, pharmaceutical, and modeling communities during the early days of the AIDS epidemic. Its successes led to applications of modeling methods not only to HIV but a plethora of other viruses, such as hepatitis C virus (HCV), hepatitis B virus and cytomegalovirus, which along with HIV cause chronic diseases, and viruses such as influenza, respiratory syncytial virus, West Nile virus, Zika virus, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which generally cause acute infections. Here we first review the historical development of mathematical models to understand HIV and HCV infections and the effects of treatment by fitting the models to clinical data. We then focus on recent efforts and contributions of applying these models towards understanding SARS-CoV-2 infection and highlight outstanding questions where modeling can provide crucial insights and help to optimize nonpharmaceutical and pharmaceutical interventions of the coronavirus disease 2019 (COVID-19) pandemic. The review is written from our personal perspective emphasizing the power of simple target cell limited models that provided important insights and then their evolution into more complex models that captured more of the virology and immunology. To quote Albert Einstein, "Everything should be made as simple as possible, but not simpler," and this idea underlies the modeling we describe below. |*Models, Theoretical[MESH] |Anti-Retroviral Agents/therapeutic use[MESH] |COVID-19/*epidemiology/immunology/prevention & control/*therapy[MESH] |Communicable Diseases/epidemiology[MESH] |HIV Infections/drug therapy/epidemiology/immunology[MESH] |Hepatitis C/epidemiology/immunology[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH]Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and t(epmc).pdf DeepDyve Pubget Overpricing