SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies

arXiv:2404.08423v1 Announce Type: new
Abstract: The outbreak of COVID-19 has highlighted the intricate interplay between public health and economic stability on a global scale. This study proposes a novel reinforcement learning framework designed to optimize health and economic outcomes during pandemics. The framework leverages the SIR model, integrating both lockdown measures (via a stringency index) and vaccination strategies to simulate disease dynamics. The stringency index, indicative of the severity of lockdown measures, influences both the spread of the disease and …

abstract arxiv control covid covid-19 cs.lg economic framework global health market novel outbreak outbreaks pandemics physics.soc-ph policy public public health q-bio.pe reinforcement reinforcement learning scale sir stability study type