Exploring the Accuracy of Differentiation-Based Regressive Models in Disease Forecasting

ABSTRACT Predictive models have been able to foresee outbreaks of mosquito-borne diseases such as malaria and map Ebola outbreaks 1 . This has allowed health organizations to plan the amount of resources and the number of healthcare workers needed more effectively, on top of finding out other useful data such as the locations most vulnerable to the disease and the demographics most affected. It can therefore be assumed that predictive analytics can reduce the amount of economic and non-economic burden caused by other epidemics as well, with COVID-19 being an obvious example.