Investigating the effect of vaccinated population on the COVID-19 prediction using FA and ABC-based feed-forward neural networks.

ABSTRACT: Since 2019, the coronavirus outbreak has caused many catastrophic events all over the world. At the current time, the massive vaccination has been considered as the most efficient way to fight against the pandemic. This study schemes to explain and model COVID-19 cases by considering the vaccination rate. We utilized an amalgamation of neural network (NN) with two powerful optimization algorithms, i.e., firefly algorithm and artificial bee colony. For validating the models, we employed the COVID-19 datasets regarding the vaccination rate and the total confirmed cases for 51 states since the beginning of vaccination in the US. The numerical experiment indicated that by considering the vaccinated population, the accuracy of NN increases exponentially when compared with the same NN in the abs

SUBMITTER: Noroozi-Ghaleini E 

PROVIDER: S-EPMC9958458 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature