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 , US

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

3 New York State Department of Health , Albany , NY , US

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

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

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

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
  • US
  • Phone: 1 518 442 5243
  • Email: emartin@albany.edu