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

Statistical Methods for Surveillance and Population Health (148) Surveillance Systems (430) HIV/AIDS/STI Prevention and Care (823)

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

Authors of this article:

Bahareh Ansari1, 2 Author Orcid Image ;   Rachel Hart-Malloy2, 3, 4 Author Orcid Image ;   Eli S Rosenberg2, 3, 4 Author Orcid Image ;   Monica Trigg5 Author Orcid Image ;   Erika G Martin2, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (23) Metrics

Journals

  1. Martin E, Angles J. Incorporating a Health Equity Lens Into Surveillance Information Systems: Opportunities and Challenges. Journal of Public Health Management and Practice 2023;29(1):1 View
  2. Ansari B, Martin E. Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State. Journal of the American Medical Informatics Association 2024;31(2):298 View
  3. Ansari B. Evaluating the usability of public health data dashboards as information sources for professionals and the public: Findings from a case study with domain experts. Health Information & Libraries Journal 2024 View
  4. Vesoulis Z, Diggs S, Brackett C, Sullivan B. Racial and geographic disparities in neonatal brain care. Seminars in Perinatology 2024:151925 View
  5. Hohman K, Klompas M, Zambarano B, Wall H, Jackson S, Kraus E. Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness. Preventing Chronic Disease 2024;21 View