COVID-19 in Asia: Transmission factors, re-opening policies, and vaccination simulation.

ABSTRACT: This work aims to provide insights on the COVID-19 pandemic in three prime aspects. First, we attempted to understand the association between the COVID-19 transmission rate, environmental factors (air pollution, weather, mobility), and socio-political parameters (Government Stringency Index, GSI). Second, we evaluated the efficiency of various strategies, including radical opening, intermittent lockdown, phase lift, and contact tracing, to exit the COVID-19 pandemic and get back to pre-pandemic conditions using a stochastic individual-based epidemiology model. Third, we used a deep learning approach and simulated the vaccination rate and the time for reaching herd immunity. The analysis was done based on the collected data from eight countries in Asia, including Iran, Turkey, India, Saudi

SUBMITTER: Baniasad M 

PROVIDER: S-EPMC8265190 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature