Author: Rajan Gupta; Gaurav Pandey; Poonam Chaudhary; Saibal Kumar Pal
Title: SEIR and Regression Model based COVID-19 outbreak predictions in India Document date: 2020_4_3
ID: hf0jtfmx_39
Snippet: Then we trained our data with SEIR model and result of line of fitting is shown in Figure 7 . While applying SEIR, we took care of some interventions like quarantine and lockdown announced by the Government of India during this period so, we applied a decay function to lower the number of confirmed cases during prediction. We used hill decay in our model which is a half decay and its formula is given in Equation 9 , where L is a description of th.....
Document: Then we trained our data with SEIR model and result of line of fitting is shown in Figure 7 . While applying SEIR, we took care of some interventions like quarantine and lockdown announced by the Government of India during this period so, we applied a decay function to lower the number of confirmed cases during prediction. We used hill decay in our model which is a half decay and its formula is given in Equation 9 , where L is a description of the rate of decay, T is time and k is a shape parameter (no dimension). Half decay functions never reach zero and have half their original efficacies at time L.
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