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10.1016/j.chaos.2020.110014 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110014 C7303618!7303618!32834587     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2020 ; 139 (ä): 110014 Nephropedia Template TP {{tp|p=32834587|t=2020. Evaluation and prediction of COVID-19 in India: A case study of worst hit states |pdf=|usr=}}{{32834587}} gab.com Text Evaluation and prediction of COVID-19 in India: A case study of worst hit states JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834587 #FOAvip In this manuscript, system modeling and identification techniques are applied in developing a prognostic yet deterministic model to forecast the spread of COVID-19 in India. The model is verified with the historical data and a forecast of the spread for 30-days is presented in the 10 most affected states of India. The major results suggest that our model can very well capture the disease variations with high accuracy. The results also show a steep rise in the total cumulative cases and deaths in the coming weeks. Twit Text FOAVip Evaluation and prediction of COVID-19 in India: A case study of worst hit states ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834587 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834587 #FOAvip English Wikipedia <ref>{{Cite pmid|32834587}}</ref> Evaluation and prediction of COVID-19 in India: A case study of worst hit states #MMPMID32834587 Rafiq D; Suhail SA; Bazaz MA Chaos Solitons Fractals 2020[Oct]; 139 (ä): 110014 PMID32834587show ga In this manuscript, system modeling and identification techniques are applied in developing a prognostic yet deterministic model to forecast the spread of COVID-19 in India. The model is verified with the historical data and a forecast of the spread for 30-days is presented in the 10 most affected states of India. The major results suggest that our model can very well capture the disease variations with high accuracy. The results also show a steep rise in the total cumulative cases and deaths in the coming weeks. äEvaluation and prediction of COVID-19 in India: A case study of worst (epmc).pdf DeepDyve Pubget Overpricing