[Analysis of Coronavirus Disease 2019 Prediction Studies in the Republic of Korea].

ABSTRACT:

Objectives

During the initial outbreak of coronavirus disease 2019 (COVID-19), numerous predictive studies were conducted amid high uncertainty regarding the characteristics of the virus, and the study results were considered in the policymaking process.

Methods

This study systematically analyzed research papers that predicted the spread of COVID-19 in the Republic of Korea. Focusing on 138 studies published between 2020 and October 15, 2024, it examined the data and methodologies employed and explored ways to enhance the utility of predictive outcomes in managing infectious disease outbreaks.

Results

These methodologies included mathematical models, statistical models, and machine learning-based approaches to predict COVID-19 spread patterns. Beyond forecasting futur

SUBMITTER: Kim HK 

PROVIDER: S-EPMC12479665 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature