What question did this study set out to answer?

The aim is to improve the usefulness of COVID-19 case data by addressing gaps in occupational information.

March 22, 2026Open Access

Missing Occupation, Missing Risk: Insights from COVID-19 Case Investigation Data in Busan, South Korea

Key Points

The aim is to improve the usefulness of COVID-19 case data by addressing gaps in occupational information.
Analyzed COVID-19 case investigation data from Busan.
Identified issues with data entry and analytic usefulness.
Proposed solutions including dual coding and real-time quality checks.
Occupational data entry was largely complete but lacked analyzability.
Highlighted the need for improved coding methods to capture occupational risk.
Suggested that better data practices can enhance pandemic response efforts.

Abstract

Busan's early COVID-19 surveillance system recorded occupation for nearly all cases but produced limited analyzable information. The disconnect between data entry and analytic usefulness highlights the need for structured, dual occupation-industry coding, searchable picklists, and real-time quality checks so that occupational risk can be systematically identified and incorporated into future pandemic preparedness and response.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Jin-Hwan Kim

D. G. Moon

Changhoon Kim

Journals

Journal of Preventive Medicine and Public Health

Actions

Institutions

Seoul National University

Pusan National University

Pusan National University Hospital

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Missing Occupation, Missing Risk: Insights from COVID-19 Case Investigation Data in Busan, South Korea

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study