Evaluation of COVID-19 intervention policies in South Korea using the stochastic individual-based model.

ABSTRACT: The COVID-19 pandemic has swept the globe, and countries have responded with various intervention policies to prevent its spread. In this study, we aim to analyze the effectiveness of intervention policies implemented in South Korea. We use a stochastic individual-based model (IBM) with a synthetic population to simulate the spread of COVID-19. Using statistical data, we make the synthetic population and assign sociodemographic attributes to each individual. Individuals go about their daily lives based on their assigned characteristics, and encountering infectors in their daily lives stochastically determines whether they are infected. We reproduce the transmission of COVID-19 using the IBM simulation from November 2020 to February 2021 when three phases of increasingly stringent intervent

SUBMITTER: Chae MK 

PROVIDER: S-EPMC10622523 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature