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10.3389/fmolb.2020.585245 http://scihub22266oqcxt.onion/10.3389/fmolb.2020.585245 33869271!8047460!33869271     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       Front+Mol+Biosci 2020 ; 7 (ä): 585245 Nephropedia Template TP {{tp|p=33869271|t=2020. Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2 |pdf=|usr=}}{{33869271}} gab.com Text Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2 JO: Front Mol Biosci http://www.kidney.de/pget.php?&tw=1&pmid=33869271 #FOAvip The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled mathematically during this research. The transmission rates are hypothesized, with the aid of epidemiological concepts and recent findings. The model reported is extended, by taking into account the delayed dynamics. Time delay reflects the fact that the dynamic behavior of transmission of the disease, at time t depends not only on the state at time t but also on the state in some period tau before time t. The research presented in this manuscript will not only help in understanding the current threat of pandemic (SARS-2), but will also contribute in making precautionary measures and developing control strategies. Twit Text FOAVip Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2 ????Front Mol Biosci http://www.kidney.de/pget.php?&tw=1&pmid=33869271 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33869271 #FOAvip English Wikipedia <ref>{{Cite pmid|33869271}}</ref> Delayed Modeling Approach to Forecast the Periodic Behavior of SARS-2 #MMPMID33869271 Yu Z; Sohail A; Nutini A; Arif R Front Mol Biosci 2020[]; 7 (ä): 585245 PMID33869271show ga The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled mathematically during this research. The transmission rates are hypothesized, with the aid of epidemiological concepts and recent findings. The model reported is extended, by taking into account the delayed dynamics. Time delay reflects the fact that the dynamic behavior of transmission of the disease, at time t depends not only on the state at time t but also on the state in some period tau before time t. The research presented in this manuscript will not only help in understanding the current threat of pandemic (SARS-2), but will also contribute in making precautionary measures and developing control strategies. äDelayed Modeling Approach to Forecast the Periodic Behavior of SARS-2 (epmc).pdf DeepDyve Pubget Overpricing