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

Statistical Methods for Surveillance and Population Health (188) Surveillance Systems (514) HIV/AIDS/STI Prevention and Care (1043)

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 (10) Tweetations (16) Metrics

Journals

  1. Martin E, Angles J. Incorporating a Health Equity Lens Into Surveillance Information Systems: Opportunities and Challenges. Journal of Public Health Management & 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;48(5):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
  6. Ansari B, Barati M, Yuan X. Underrepresented Populations on Public Health Data Dashboards: Design Considerations for Improving Usability and Usefulness. Journal of Public Health Management & Practice 2025;31(1):E61 View
  7. Pham H, Do T, Baek J, Nguyen C, Pham Q, Nguyen H, Goldberg R, Pham Q, Giang L. Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis. JMIR Public Health and Surveillance 2024;10:e53719 View
  8. Han L, Qiang Y, Ma C, Li X, Salim Z, Bhandari R, Alsharif K, Jin H. Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States. The Professional Geographer 2025;77(3):229 View
  9. Brown S, Kudia O, Kleine K, Kidd B, Wines R, Meckes N. Comparing Multiple Imputation Methods to Address Missing Patient Demographics in Immunization Information Systems: Retrospective Cohort Study. JMIR Public Health and Surveillance 2025;11:e73916 View
  10. Abimbola T, Van Handel M, Marks S, Beeler Asay G, Sandul A, Gift T, Durham M, Pampati S, Salomon J, Martin E, Mermin J. A Decade of the National Center for HIV, Viral Hepatitis, STD, and TB Prevention’s Epidemiologic and Economic Modeling Agreement. Public Health Reports® 2025 View