Adaptive Fourier decomposition analysis of different pandemic stages in South Korean cities: policies and trends.

ABSTRACT:

Background

There is a lack of a method supported by mathematical theory to compare infection rate fluctuations with the timing of policy implementation and determine the degree of correlation in South Korean cities. We evaluated the impact of the adaptive Fourier decomposition (AFD) method on the time trends and policies of coronavirus disease 2019 (COVID-19) data in South Korea, aiming to study whether AFD can contribute to future infectious disease prevention and control strategies.

Methods

This study utilized AFD to analyze temporal trends in COVID-19 data, demonstrating an effective method to illustrate the dynamics of the outbreak and comprehend the real-time impact of Korean policies on COVID-19 transmission. AFD is a novel signal decomposition algorithm that character

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12268655 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature