Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm
arXiv:2003.12017v19 citations
AI Analysis
This work addresses forecasting the COVID-19 epidemic in India, but it appears incremental as it applies existing methods to new data without novel methodological contributions.
The authors used a logistic growth regression model combined with a genetic algorithm to predict the number of coronavirus cases in India and estimate the final size and peak time of the epidemic, but no concrete numbers or results are provided in the abstract.
In this paper, we have applied the logistic growth regression model and genetic algorithm to predict the number of coronavirus infected cases that can be expected in upcoming days in India and also estimated the final size and its peak time of the coronavirus epidemic in India.