Evaluating equity-promoting interventions to prevent race-based inequities in influenza outcomes.

Autor:	Stafford E; Department of Applied Mathematics, University of Washington, Seattle, WA, USA.; Current address: Department of Public Health and Clinical Medicine, Umeå University, Umeå, SE., Dimitrov D; Department of Applied Mathematics, University of Washington, Seattle, WA, USA.; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Trinidad SB; Department of Bioethics and Humanities, University of Washington, Seattle, WA, USA., Matrajt L; Department of Applied Mathematics, University of Washington, Seattle, WA, USA.; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jazyk:	angličtina
Zdroj:	MedRxiv : the preprint server for health sciences [medRxiv] 2024 Jul 11. Date of Electronic Publication: 2024 Jul 11.
DOI:	10.1101/2024.05.20.24307635
Abstrakt:	Importance: Seasonal influenza hospitalizations pose a considerable burden in the United States, with BIPOC (Black, Indigenous, and other People of Color) communities being disproportionately affected. Objective: To determine and quantify the effects of different types of mitigation strategies on inequities in influenza outcomes (symptomatic infections and hospitalizations). Design: In this simulation study, we fit a race-stratified agent-based model of influenza transmission to demographic and hospitalization data of the United States. Participants: We consider five racial-ethnic groups: non-Hispanic White persons, non- Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American Indian or Alaska Native persons, and Hispanic or Latino persons. Setting: We tested five idealized equity-promoting interventions to determine their effectiveness in reducing inequity in influenza outcomes. The interventions assumed (i) equalized vaccination rates, (ii) equalized comorbidities, (iii) work-risk distribution proportional to the distribution of the population, (iv) reduced work contacts for all, or (v) a combination of equalizing vaccination rates and comorbidities and reducing work contacts. Main Outcomes and Measures: Reduction in symptomatic or hospitalization risk ratios, defined as the ratio of the number of symptomatic infections (hospitalizations respectively) in each age- and racial-ethnic group and their corresponding white counterpart. We also evaluated the reduction in the absolute mean number of symptomatic infections or hospitalizations in each age- and racial-ethnic group compared to the fitted scenario (baseline). Results: Our analysis suggests that symptomatic infections were equalized and reduced (by up to 17% in BIPOC adults aged 18-49) by strategies reducing work contacts or equalizing vaccination rates. Reducing comorbidities resulted in significant decreases in hospitalizations, with a reduction of over 40% in BIPOC groups. All tested interventions reduced the inequity in influenza hospitalizations in all racial-ethnic groups, but interventions reducing comorbidities in marginalized populations were the most effective. Notably, these interventions resulted in better outcomes across all racial-ethnic groups, not only those prioritized by the interventions. Conclusions and Relevance: In this simulation modeling study, equalizing vaccination rates and reducing number of work contacts (which are relatively simple strategies to implement) reduced the both the inequity in hospitalizations and the absolute number of symptomatic infections and hospitalizations in all age and racial-ethnic groups.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu