COVID-19 Vaccination Dynamics in the US: Coverage Velocity and Carrying Capacity Based on Socio-demographic Vulnerability Indices in California
| Autor: | Matthew Lai, Aidin Abedi, Yujia Zhang, Trevor A. Pickering, Dominique Duncan, Sana Salehi, Aubrey Martinez, Alexander Bruckhaus, Rachael Garner |
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| Rok vydání: | 2021 |
| Předmět: |
Conservation of Natural Resources
medicine.medical_specialty COVID-19 Vaccines Social Vulnerability Sociodemographic Factors Epidemiology Population Vulnerability Booster dose California Pandemic medicine Humans Resource allocation education Health equity Minorities Demography Original Paper education.field_of_study SARS-CoV-2 business.industry Public health Vaccination Public Health Environmental and Occupational Health COVID-19 business Social vulnerability |
| Zdroj: | Journal of Immigrant and Minority Health |
| ISSN: | 1557-1920 1557-1912 |
| Popis: | Coronavirus disease 2019 (COVID-19) disparities among vulnerable populations are of paramount concern that extend to vaccine administration. With recent uptick in infection rates, dominance of the delta variant, and authorization of a third booster shot, understanding the population-level vaccine coverage dynamics and underlying sociodemographic factors is critical for achieving equity in public health outcomes. This study aimed to characterize the scope of vaccine inequity in California counties through modeling the trends of vaccination using the Social Vulnerability Index (SVI). Overall SVI, its four themes, and 9228 data points of daily vaccination numbers from December 15, 2020, to May 23, 2021, across all 58 California counties were used to model the growth velocity and anticipated maximum proportion of population vaccinated, defined as having received at least one dose of vaccine. Based on the overall SVI, the vaccination coverage velocity was lower in counties in the high vulnerability category (v = 0.0346, 95% CI 0.0334, 0.0358) compared to moderate (v = 0.0396, 95% CI 0.0385, 0.0408) and low (v = 0.0414, 95% CI 0.0403, 0.0425) vulnerability categories. SVI Theme 3 (minority status and language) yielded the largest disparity in coverage velocity between low and high-vulnerable counties (v = 0.0423 versus v = 0.035, P |
| Databáze: | OpenAIRE |
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