Published on in Vol 8, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38037, first published .
Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies

Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies

Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies

Bahareh Ansari   1, 2 , MA, PhD ;   Rachel Hart-Malloy   2, 3, 4 , MPH, PhD ;   Eli S Rosenberg   2, 3, 4 , PhD ;   Monica Trigg   5 , MPH ;   Erika G Martin   2, 6 , MPH, PhD

1 Center for Policy Research, Rockefeller College of Public Affairs and Policy, University at Albany, Albany, NY, United States

2 Center for Collaborative HIV Research in Practice and Policy, School of Public Health, University at Albany, Albany, NY, United States

3 New York State Department of Health, Albany, NY, United States

4 Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Albany, NY, United States

5 Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States

6 Department of Public Administration and Policy, Rockefeller College of Public Affairs and Policy, University at Albany, Albany, NY, United States

Corresponding Author:

  • Erika G Martin, MPH, PhD
  • Department of Public Administration and Policy
  • Rockefeller College of Public Affairs and Policy
  • University at Albany
  • 300 Milne Hall
  • 135 Western Ave
  • Albany, NY, 12203
  • United States
  • Phone: 1 518 442 5243
  • Email: emartin@albany.edu