This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (511) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (113) Geographic Information Systems (GIS) (23) Social Determinants of Health (36) Population and Public Health Informatics (106)

Published on in Vol 8 (2024)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56510, first published .
The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

The Automatic Context Measurement Tool (ACMT) to Compile Participant-Specific Built and Social Environment Measures for Health Research: Development and Usability Study

Authors of this article:

Weipeng Zhou1 Author Orcid Image ;   Amy Youngbloom2 Author Orcid Image ;   Xinyang Ren1 Author Orcid Image ;   Brian E Saelens2, 3 Author Orcid Image ;   Sean D Mooney4 Author Orcid Image ;   Stephen J Mooney2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Weipeng Zhou   1 * , PhD ;   Amy Youngbloom   2 * , MS ;   Xinyang Ren   1 , BS ;   Brian E Saelens   2, 3 , PhD ;   Sean D Mooney   4 , PhD ;   Stephen J Mooney   2 , PhD

1 Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States

2 Department of Epidemiology, Hans Rosling Center for Population Health, University of Washington, Seattle, WA, United States

3 Seattle Children's Research Institute, Seattle, WA, United States

4 Center for Information Technology, National Institutes of Health, Bethesda, MD, United States

*these authors contributed equally

Corresponding Author:

  • Stephen J Mooney, PhD
  • Department of Epidemiology
  • Hans Rosling Center for Population Health
  • University of Washington
  • 3980 15th Ave NE
  • Seattle, WA, 98105
  • United States
  • Phone: 1 206-685-1643
  • Email: sjm2186@uw.edu