Sanjay Nandal. "Economic Status of Indian States and its Impact on Covid 19 Management" International Research Journal of Economics and Management Studies, Vol. 1, No. 3, pp. 87-101, 2022.
The present pandemic Covid 19 is playing havoc round the world. In such a situation where vaccination and medicine is not available, the prime responsibilities of national governments becomes the minimization of death rate and increase in recovery rate. This study aims to determine how a state's economic standing influences the management of Covid 19 in terms of the minimal death rate and maximum recovery rate. The economic status of the state is depicted by GDP per capita, number of isolation beds, ICU beds created, level of literacy, number o infected cases and its population size. These significant factors have been investigated on number of recoveries and deceased in the states. The response surface method using face centered composite design (FCCD) has been applied on the cumulative data (up to 15th may 2020) for training and optimization. The model accuracy is retrieved as co-efficient of determination is 99.9%. The best input variables for raising recovery rates and lowering fatality rates have been identified. A hybrid artificial neural network-multi objective genetic algorithm (ANN-MOGA) model with model accuracy of 99.9% has also been used to boost recovery rates and lower fatality rates. Further, a best fit curve of confirmed cases in Delhi (since lockdown to 15 June 2020) has been plotted and a prediction curve has been retrieved for coming months of 2020. It has been observed from the curve that confirmed cases rises up to midaugust and achieve the peak & then it continue to decline.
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GDP per capita, ANN-MOGA, FCCD