Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model.

Journal: Journal of infection and public health
Published Date: Apr 10, 2025

Abstract

BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza, norovirus, severe fever with thrombocytopenia syndrome (SFTS), and tsutsugamushi disease, in the Republic of Korea from 2005 to 2023. It also examines the impact of the COVID-19 pandemic on their transmission patterns.

Authors

  • Geunsoo Jang
    Nonlinear Dynamics and Mathematical Application Center, Kyungpook National University, Daegu, 41566, Republic of Korea.
  • Jeonghwa Seo
    Department of Statistics, Kyungpook National University, Daegu, 41566, Republic of Korea.
  • Hyojung Lee
    Department of Statistics, Kyungpook National University, Daegu, 41566, Korea. hjleebiomath@gmail.com.

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