Journal of Preventive Medicine and Public Health

The Korean Society for Preventive Medicine (대한예방의학회)
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A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea

  • Byun, Han Geul (Department of Public Health Sciences, Graduate School of Public Health, Seoul National University) ;
  • Lee, Naae (Department of Public Health Sciences, Graduate School of Public Health, Seoul National University) ;
  • Hwang, Seung-sik (Department of Public Health Sciences, Graduate School of Public Health, Seoul National University)
  • Received : 2021.03.23
  • Accepted : 2021.07.30
  • Published : 2021.09.30
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Abstract

Objectives: Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses. In this study, we aimed to review health-related epidemiological research using spatio-temporal analyses and to observe methodological trends. Methods: Health-related studies that applied spatial or spatio-temporal methods were identified using 2 international databases (PubMed and Embase) and 4 Korean academic databases (KoreaMed, NDSL, DBpia, and RISS). Two reviewers extracted data to review the included studies. A search for relevant keywords yielded 5919 studies. Results: Of the studies that were initially found, 150 were ultimately included based on the eligibility criteria. In terms of the research topic, 5 categories with 11 subcategories were identified: chronic diseases (n=31, 20.7%), infectious diseases (n=27, 18.0%), health-related topics (including service utilization, equity, and behavior) (n=47, 31.3%), mental health (n=15, 10.0%), and cancer (n=7, 4.7%). Compared to the period between 2000 and 2010, more studies published between 2011 and 2020 were found to use 2 or more spatial analysis techniques (35.6% of included studies), and the number of studies on mapping increased 6-fold. Conclusions: Further spatio-temporal analysis-related studies with point data are needed to provide insights and evidence to support policy decision-making for the prevention and control of infectious and chronic diseases using advances in spatial techniques.

Keywords

Acknowledgement

This research was funded by Seoul National University's New Faculty Research Resettlement Fund (Grant No: 900-20170068) and supported by a National Research Foundation of Korea grant funded by the Korean government (No.21B20151213037).

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