Towards optimization of community vulnerability indices for COVID-19 prevalence
This study established a practical approach to optimize CVI for assessing COVID-19 risk. The incorporation of additional variables, specificity for subpopulations, and adaptability through the WQS regression collectively contribute to its value in informing evidence-based policy decisions and guiding targeted interventions to mitigate the impact of COVID-19 on vulnerable communities.
Authors
- Cheryl Collins (ORCID: https://orcid.org/0000-0003-0608-9299)
- Lung-Chang Chien (ORCID: https://orcid.org/0000-0003-4515-0080)
- L.‐W. Antony Chen (ORCID: https://orcid.org/0000-0002-2311-7506)
- Cassius T. Lockett
- Lei Zhang (ORCID: https://orcid.org/0000-0003-2343-084X)
- Chad L. Cross (ORCID: https://orcid.org/0000-0002-8756-5607)
- Edom Gelaw
Institutions
- University of Nevada, Las Vegas (US)
- Southern Nevada Health District (US)
- Desert Research Institute (US)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1186/s12889-025-22751-y
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centers for Disease Control and Prevention