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Evaluation of Rhode Island's Early Geographic COVID-19 Vaccine Prioritization Policy.
- Source :
- American Journal of Public Health; 2024 Suppl 7, Vol. 114, pS580-S589, 10p
- Publication Year :
- 2024
-
Abstract
- Objectives. To determine whether geographic prioritization of limited COVID-19 vaccine supply was effective for reducing geographic disparities in case rates. Methods. Rhode Island allocated a portion of the initial COVID-19 vaccine supply to residents of Central Falls, a community already affected by structural policies and inadequate systems that perpetuate health inequities and experiencing disproportionately high COVID-19 morbidity and mortality. The policy was implemented with a culturally and linguistically appropriate community engagement plan and was intended to reduce observed disparities. Using a Bayesian causal analysis with population surveillance data, we evaluated the impact of this prioritization policy on recorded cases over the subsequent 16 weeks. Results. Early geographic prioritization of Central Falls accelerated vaccine uptake, averting an estimated 520 cases (95% confidence interval = 22, 1418) over 16 weeks and reducing cases by approximately 34% during this period (520 averted vs 1519 expected without early prioritization). Conclusions. Early geographic prioritization increased vaccine uptake and reduced cases in Central Falls, thereby reducing geographic disparities. Public Health Implications. Public health institutions should consider geographic prioritization of limited vaccine supply to reduce geographic disparities in case rates. (Am J Public Health. 2024;114(S7):S580–S589. https://doi.org/10.2105/AJPH.2024.307741) [ABSTRACT FROM AUTHOR]
- Subjects :
- IMMUNIZATION
PUBLIC health surveillance
SOCIAL determinants of health
RESEARCH funding
HEALTH policy
COVID-19 vaccines
POPULATION geography
GLOBAL burden of disease
DESCRIPTIVE statistics
ELIGIBILITY (Social aspects)
HEALTH equity
SOCIODEMOGRAPHIC factors
DATA analysis software
CONFIDENCE intervals
COVID-19 pandemic
REGRESSION analysis
NONPARAMETRIC statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00900036
- Volume :
- 114
- Database :
- Complementary Index
- Journal :
- American Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 179869649
- Full Text :
- https://doi.org/10.2105/AJPH.2024.307741