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10.1016/j.scitotenv.2020.138762 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138762 32334157!7169890!32334157     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 728 (ä): 138762 Nephropedia Template TP {{tp|p=32334157|t=2020. Prediction for the spread of COVID-19 in India and effectiveness of preventive measures |pdf=|usr=}}{{32334157}} gab.com Text Prediction for the spread of COVID-19 in India and effectiveness of preventive measures JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32334157 #FOAvip The spread of COVID-19 in the whole world has put the humanity at risk. The resources of some of the largest economies are stressed out due to the large infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, some prediction methods would be required to predict the number of cases in future. In this paper, we have used data-driven estimation methods like long short-term memory (LSTM) and curve fitting for prediction of the number of COVID-19 cases in India 30 days ahead and effect of preventive measures like social isolation and lockdown on the spread of COVID-19. The prediction of various parameters (number of positive cases, number of recovered cases, etc.) obtained by the proposed method is accurate within a certain range and will be a beneficial tool for administrators and health officials. Twit Text FOAVip Prediction for the spread of COVID-19 in India and effectiveness of preventive measures ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32334157 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32334157 #FOAvip English Wikipedia <ref>{{Cite pmid|32334157}}</ref> Prediction for the spread of COVID-19 in India and effectiveness of preventive measures #MMPMID32334157 Tomar A; Gupta N Sci Total Environ 2020[Aug]; 728 (ä): 138762 PMID32334157show ga The spread of COVID-19 in the whole world has put the humanity at risk. The resources of some of the largest economies are stressed out due to the large infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, some prediction methods would be required to predict the number of cases in future. In this paper, we have used data-driven estimation methods like long short-term memory (LSTM) and curve fitting for prediction of the number of COVID-19 cases in India 30 days ahead and effect of preventive measures like social isolation and lockdown on the spread of COVID-19. The prediction of various parameters (number of positive cases, number of recovered cases, etc.) obtained by the proposed method is accurate within a certain range and will be a beneficial tool for administrators and health officials. |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/prevention & control[MESH] |Forecasting[MESH] |Humans[MESH] |India/epidemiology[MESH] |Models, Theoretical[MESH] |Neural Networks, Computer[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*epidemiology/prevention & control[MESH]Prediction for the spread of COVID-19 in India and effectiveness of pr(epmc).pdf DeepDyve Pubget Overpricing