COVID-19 Mortality Prediction: An Algorithm by Bayesian Autoregressive Model

Objective: This pandemic of COVID-19 is tedious to control. The only lockdown the way stop spread this infection. Conventional health care facing a real challenge operate. Primarily provide support for patients with limited resources and continue services like earlier. Perhaps, same but magnitude differing depending on geographical locations around globe. Material Methods:-In article, we presented Bayesian algorithm Code predict cases, death recovery numbers due in Indian population. code possible run at different time points world. will help us get best strategy optimize implementation regions. Results: We applied auto-regressive model. autoregressive model separated into linear non-linear models. posterior estimates regression coefficients are obtained by performed confirmed, recovered died cases separately corresponding generated. Conclusion: would physicians an objective tool counselling decision making hotspots small areas implement.