Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm.

ABSTRACT:

Background

National responses to the Covid-19 pandemic varied markedly across countries, from business-as-usual to complete shutdowns. Policies aimed at disrupting the viral transmission cycle and preventing the overwhelming of healthcare systems inevitably exact an economic toll.

Methodology

We developed an intervention policy model that comprised the relative human, implementation and healthcare costs of non-pharmaceutical epidemic interventions and identified the optimal strategy using a neuroevolution algorithm. The proposed model finds the minimum required reduction in transmission rates to maintain the burden on the healthcare system below the maximum capacity.

Results

We find that such a policy renders a sharp increase in the control strength during the early s

SUBMITTER: Saeidpour A 

PROVIDER: S-EPMC8841015 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature