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Shawn S Clausen

Biographic Data

ID6057684
NAMEShawn S Clausen
GIVEN NAMESShawn S
FAMILY NAMEClausen
SIGNATURECLAUSEN S S
AFFILIATIONSJohn M. Young and James D. Mancuso are with the Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD. Shauna L. Stahlman, Shawn S. Clausen, and Mark L. Bova are with the Epidemiology and Analysis Section of the Armed Forces Health Surveillance Division at the Defense Health Agency, Silver Spring, MD. Note. The opinions and assertions expressed herein are those of the authors and do not necessarily reflect the official policy or position...
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS2
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Statistical Accuracy of Administratively Recorded Race/Ethnicity in the Military Health System and Race/Ethnicity Ascertained via Questionnaire

    Open Access•Jordan Mcadam, Stephanie A Richard et al.•ARTICLE•Journal of Racial and Ethnic…•2025

    BACKGROUND: Unequal disease burdens such as SARS-CoV-2 infection rates and COVID-19 outcomes across race/ethnicity groups have been reported. Misclassification of and missing race and ethnicity (race/ethnicity) data hinder efforts to identify and address health disparities in the US Military Health System (MHS); therefore, we evaluated the statistical accuracy of administratively recorded race/ethnicity data in the MHS Data Repository (MDR) throu…

  • Racial and Ethnic Disparities in Covid-19 Infection and Hospitalization in the Active Component US Military

    John M Young, M A Pritchard et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 2•References: 23

    Objectives. To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. Methods. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Results. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were ho…

  • Racial and Ethnic Disparities in Covid-19 Infection and Hospitalization in the Active Component US Military

    John M Young, M A Pritchard et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 2•References: 23

    Objectives. To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. Methods. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Results. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were ho…

  • Racial and Ethnic Disparities in Covid-19 Infection and Hospitalization in the Active Component US Military

    John M Young, M A Pritchard et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 2•References: 23

    Objectives. To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. Methods. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Results. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were ho…

  • Statistical Accuracy of Administratively Recorded Race/Ethnicity in the Military Health System and Race/Ethnicity Ascertained via Questionnaire

    Open Access•Jordan Mcadam, Stephanie A Richard et al.•ARTICLE•Journal of Racial and Ethnic…•2025

    BACKGROUND: Unequal disease burdens such as SARS-CoV-2 infection rates and COVID-19 outcomes across race/ethnicity groups have been reported. Misclassification of and missing race and ethnicity (race/ethnicity) data hinder efforts to identify and address health disparities in the US Military Health System (MHS); therefore, we evaluated the statistical accuracy of administratively recorded race/ethnicity data in the MHS Data Repository (MDR) throu…

Medicine (2 works) · Political science (2 works) · Public health (2 works) · COVID-19 and Mental Health (1 work) · Demography (1 work) · Environmental health (1 work) · Epidemiology (1 work) · Ethnic group (1 work) · Gerontology (1 work) · Health care reform (1 work)

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