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10.1017/dmp.2020.321 http://scihub22266oqcxt.onion/10.1017/dmp.2020.321 32900400!7642509!32900400     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Disaster+Med+Public+Health+Prep 2022 ; 16 (1): 40-50 Nephropedia Template TP {{tp|p=32900400|t=2022. Prediction of the Peak, Effect of Intervention, and Total Infected by COVID-19 in India |pdf=|usr=}}{{32900400}} gab.com Text Prediction of the Peak, Effect of Intervention, and Total Infected by COVID-19 in India JO: Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32900400 #FOAvip OBJECTIVES: We study the effect of the coronavirus disease 2019 (COVID-19) in India and model the epidemic to guide those involved in formulating policy and building health-care capacity. METHODS: This effect is studied using the Susceptible-Exposed-Infected-Recovered (SEIR) compartmental model. We estimate the infection rate using a least square method with Poisson noise and calculate the reproduction number. RESULTS: The infection rate is estimated to be 0.270 and the reproduction number to be 2.70. The approximate peak of the epidemic will be August 9, 2020. A 25% drop in infection rate will delay the peak by 11 d for a 1-mo intervention period. The total infected individuals in India will be 9% of the total population. CONCLUSIONS: The predictions are sensitive to changes in the behavior of people and their practice of social distancing. Twit Text FOAVip Prediction of the Peak, Effect of Intervention, and Total Infected by COVID-19 in India ????Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32900400 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32900400 #FOAvip English Wikipedia <ref>{{Cite pmid|32900400}}</ref> Prediction of the Peak, Effect of Intervention, and Total Infected by COVID-19 in India #MMPMID32900400 Shah PV Disaster Med Public Health Prep 2022[Feb]; 16 (1): 40-50 PMID32900400show ga OBJECTIVES: We study the effect of the coronavirus disease 2019 (COVID-19) in India and model the epidemic to guide those involved in formulating policy and building health-care capacity. METHODS: This effect is studied using the Susceptible-Exposed-Infected-Recovered (SEIR) compartmental model. We estimate the infection rate using a least square method with Poisson noise and calculate the reproduction number. RESULTS: The infection rate is estimated to be 0.270 and the reproduction number to be 2.70. The approximate peak of the epidemic will be August 9, 2020. A 25% drop in infection rate will delay the peak by 11 d for a 1-mo intervention period. The total infected individuals in India will be 9% of the total population. CONCLUSIONS: The predictions are sensitive to changes in the behavior of people and their practice of social distancing. |*COVID-19/epidemiology[MESH] |*Epidemics[MESH] |Humans[MESH] |India/epidemiology[MESH] |Physical Distancing[MESH]Prediction of the Peak, Effect of Intervention, and Total Infected by (epmc).pdf DeepDyve Pubget Overpricing