Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian model

Jaehong Jeong, Mijeong Kim, Jungsoon Choi

Research output: Contribution to journalArticlepeer-review

Abstract

Hepatitis A is a water-borne infectious disease that frequently occurs in unsanitary environments. However, paradoxically, those who have spent their infancy in a sanitary environment are more susceptible to hepatitis A because they do not have the opportunity to acquire natural immunity. In Korea, hepatitis A is prevalent because of the distribution of uncooked seafood, especially during hot and humid summers. In general, the transmission of hepatitis A is known to be dynamically affected by socioeconomic, environmental, and weather-related factors and is heterogeneous in time and space. In this study, we aimed to investigate the spatio-temporal variation of hepatitis A and the effects of socioeconomic and weather-related factors in Korea using a flexible spatio-temporal model. We propose a Bayesian Poisson regression model coupled with spatio-temporal variability to estimate the effects of risk factors. We used weekly hepatitis A incidence data across 250 districts in Korea from 2016 to 2019. We found spatial and temporal autocorrelations of hepatitis A indicating that the spatial distribution of hepatitis A varied dynamically over time. From the estimation results, we noticed that the districts with large proportions of males and foreigners correspond to higher incidences. The average temperature was positively correlated with the incidence, which is in agreement with other studies showing that the incidences in Korea are noticeable in spring and summer due to the increased outdoor activity and intake of stale seafood. To the best of our knowledge, this study is the first to suggest a spatio-temporal model for hepatitis A across the entirety of Korean. The proposed model could be useful for predicting, preventing, and controlling the spread of hepatitis A.

Original languageEnglish
Article number1085077
JournalFrontiers in Public Health
Volume10
DOIs
StatePublished - 20 Jan 2023

Bibliographical note

Funding Information:
This work was funded by the research fund of Hanyang University (HY-202000000002693) and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2021R1F1A1049185, NRF-2020R1F1A1A01074157, and NRF-2021R1A2C1010595).

Publisher Copyright:
Copyright © 2023 Jeong, Kim and Choi.

Keywords

  • Bayesian hierarchical modeling
  • Korea
  • hepatitis A virus
  • spatio-temporal analysis
  • spatio-temporal models
  • zero-inflated Poisson

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