Related Experiment Video
Updated: Jul 3, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Working With Risk: Improving Collection of Industry and Occupation Data During Public Health Surveillance Case
Paul D Creswell1, Collin R Morris, Wendy Fall
1Author Affiliations: University of Wisconsin School of Medicine and Public Health, Wisconsin Bureau of Environmental and Occupational Health, Division of Public Health, Wisconsin Department of Health Services (Dr Creswell and Dr McCoy); Wisconsin Bureau of Environmental and Occupational Health, Division of Public Health, Wisconsin Department of Health Services (Mr Morris and Dr Fall); Bureau of Communicable Diseases, Division of Public Health, Wisconsin Department of Health Services (Dr Klos).
Context:
Surveillance of occupational health conditions has historically lagged behind other types of public health surveillance.
Objective:
Improving the capture of industry and occupation variables in surveillance case follow-up interviews is one avenue for improving occupational health surveillance.
Design:
Five approaches were implemented to maintain and improve capture of industry and occupation data during case follow-up in Wisconsin.
Setting And Participants:
This project involved efforts at the state, local, and Tribal health department level.
Main Outcome Measures:
Counts and completion percentages were assessed for working-age case-patients with reportable conditions in Wisconsin from 2022 through 2024.
Results:
The completion of industry and occupation fields increased across the 3 years under study, particularly in those conditions with lower initial completion.
Conclusions:
This project was successful in improving the capture of industry and occupation data for potentially work-related infectious diseases and, generally, for occupational surveillance in the state of Wisconsin.
More Related Videos
Related Concept Videos
Investigation of Disease Outbreaks
Principles of Disease Surveillance
Steps in Outbreak Investigation
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Statistical Methods for Analyzing Epidemiological Data
Statistical Software for Data Analysis and Clinical Trials

