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Influenza Vaccination, Household Composition, and Race-Based Differences in Influenza Incidence

An Agent-Based Modeling Study

Bibliographic Data

ID11025528
AuthorsKatherine V Williams (0000-0002-1633-2283, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen), Mary G Krauland (0000-0002-1548-6221, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen), Lee H Harrison (0000-0002-3787-2705, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen), John V Williams (0000-0001-8377-5175, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen), Mark S Roberts (0000-0002-8277-0425, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen), Richard K Zimmerman (0000-0001-5941-6092, Katherine V. Williams and Richard K. Zimmerman are with the Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA. Mary G. Krauland and Mark S. Roberts are with the Department of Health Policy and Management and Public Health Dynamics Laboratory, School of Public Health, University of Pittsburgh. Lee H. Harrison is with the Center for Genomic Epidemiology, Division of Infectious Diseases, University of Pittsburgh School of Medicine. John V. Williams is with the Departmen)
Year2025
Volume115
Issue2
Pages209-216
Publication date2025-02-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2024.307878
PMID39541556
OpenAlexW4404352330
LanguageEN
References cited21

Objectives. To estimate the effect of influenza vaccination disparities. Methods. We compared symptomatic influenza cases between Black and White races in 2 scenarios: (1) race- and age-specific vaccination coverage and (2) equal vaccination coverage. We also compared differences in household composition between races. We used the Framework for Reconstructing Epidemiological Dynamics, an agent-based model that assigns US Census‒based age, race, households, and geographic location to agents (individual people), in US counties of varying racial and age composition. Results. Influenza cases were highest in counties with higher proportions of children. Cases were up to 30% higher in Black agents with both race-based and race-equal vaccination coverage. Compared with corresponding categories of White households, cases in Black households without children were lower and with children were higher. Conclusions. Racial disparities in influenza cases persisted after equalizing vaccination coverage. The proportion of children in the population contributed to the number of influenza cases regardless of race. Differences in household composition may provide insight into racial differences and offer an opportunity to improve vaccination coverage to reduce influenza burden for both races. ( Am J Public Health. 2025;115(2):209–216. https://doi.org/10.2105/AJPH.2024.307878 )

Biology · Census · Environmental health · Ethnic group · Incidence (geometry) · Political science · Population · Public health · Race (biology) · Vaccination · COVID-19 epidemiological studies · Demography · Epidemiology · Immunology · Influenza Virus Research Studies · Medicine · Gerontology

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