COVID-19 Vaccine Coverage Index: Identifying barriers to COVID-19 vaccine uptake across U.S. counties

Mishra, Anubhuti; Sutermaster, Staci; Smittenaar, Peter; Stewart, Nicholas; Sgaier, Sema K.

doi:10.1101/2021.06.17.21259116

Cited by 17 publications

(25 citation statements)

References 18 publications

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“…For example, to examine the relationship between social determinants of health and racial disparities in COVID-19 vaccinations, Agarwal et al (2021) combined data from state, federal, and other sources and demonstrated racial and other demographic disparities in COVID-19 vaccination rates. To quantify structural and demographic barriers to vaccination rollout, Mishra et al (2021) created the U.S.…”

Section: Structural Barriers To Vaccinationmentioning

confidence: 99%

“…COVID-19 Vaccine Coverage Index (CVAC) that identifies which regions and communities may be at risk of poor vaccination coverage. A descriptive examination of this index suggests that states such as Nevada, Mississippi, and Oklahoma are the highest-concern states in the country (Mishra et al, 2021). Failure to understand and address structural barriers to vaccination increases the mortality rate in vulnerable regions and slows down the global progress toward ending the COVID-19 pandemic.…”

Section: Structural Barriers To Vaccinationmentioning

confidence: 99%

“…Differences in COVID-19 vaccination rates across U.S. counties are stark and in need of explanation. Past research has shown that structural barriers (e.g., sociodemographics, healthcare accessibility, resource constrained health systems; Mishra et al, 2021) and political ideologies can delay or prevent vaccination efforts. We argue that, to understand persistent opposition to vaccines despite their health benefits and wide availability, we need to also consider moral values.…”

Section: The Present Researchmentioning

confidence: 99%

See 2 more Smart Citations

Moral Values Predict County-Level COVID-19 Vaccination Rates in the United States

Karimi-Malekabadi¹,

Reimer²,

Atari³

et al. 2021

Preprint

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Despite the widespread availability of COVID-19 vaccines, the United States has a depressed rate of vaccination as of September 2021. Understanding the psychology of collective vaccine refusal, particularly the sources of variation across U.S. sub-populations, can aid in designing effective intervention strategies to increase vaccination across different regions. Here, we demonstrate that county-level moral values (i.e., Care, Fairness, Loyalty, Authority, and Purity) are associated with COVID-19 vaccination rates across 3,106 counties in the contiguous United States. Specifically, in line with our hypothesis, we find that fewer people are vaccinated in counties whose residents prioritize moral concerns about bodily and spiritual purity. Further, we find that stronger endorsements of concerns about fairness and loyalty to the group predict higher vaccination rates. These associations are robust after adjusting for structural barriers to vaccination, the demographic make-up of the counties, and their residents' political voting behavior. Our findings have implications for health communication, intervention strategies based on targeted messaging, and our fundamental understanding of the moral psychology of vaccination hesitancy and behavior.

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Section: Structural Barriers To Vaccinationmentioning

confidence: 99%

Section: Structural Barriers To Vaccinationmentioning

confidence: 99%

Section: The Present Researchmentioning

confidence: 99%

See 1 more Smart Citation

Moral Values Predict County-Level COVID-19 Vaccination Rates in the United States

Karimi-Malekabadi¹,

Reimer²,

Atari³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…(3) Another study showed that areas with slow vaccine rollout were more likely to be the regions with high barriers related to healthcare access and resources. (1) These areas were historically under-vaccinated, had irregular healthcare-seeking behaviour, and more socio-demographic barriers. (1) Their data also showed geographic clustering of barriers, with some counties exhibiting more barriers than others.…”

Section: Introductionmentioning

confidence: 99%

“…(1) These areas were historically under-vaccinated, had irregular healthcare-seeking behaviour, and more socio-demographic barriers. (1) Their data also showed geographic clustering of barriers, with some counties exhibiting more barriers than others. Another study showed lower educational attainment was associated with low vaccination in rural areas.…”

Section: Introductionmentioning

confidence: 99%

The influence of place on COVID-19 vaccine coverage in Alberta: A multilevel analysis

Paudel

MacDonald

2022

Preprint

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Background: While there is evidence of urban/rural disparities in COVID-19 vaccination coverage, there is limited data on the influence of other place-based variables. Methods: In this cross-sectional study, we analyzed population-based linked administrative health data to examine vaccination coverage for 3,945,103 residents in Alberta, Canada. We used multilevel logistic regression to examine the association of vaccination coverage with various place-based variables. Results: After 4 months of widely available COVID-19 vaccine, coverage varied widely between rural and urban areas (58% to 73%) and between geographic health authority zones (55.8% to 72.8%). Residents living in neighborhoods with lower COVID-19 disease incidence had the lowest vaccination coverage (63.2%), while coverage in higher incidence neighborhoods ranged from 68.3% to 71.9%. The multilevel logistic regression model indicated that residence in metro (adjusted odds ratio [aOR] 1.37; 95% CI: 1.31-1.42) and urban areas (aOR 1.11; 95% CI: 1.08-1.14) was associated with higher vaccine coverage than residence in rural areas. Similarly, residence in Edmonton, Calgary, and South health zones was associated with higher vaccine coverage compared to residence in Central zone. Higher income neighborhoods reported higher vaccine coverage than the lowest-income neighborhoods, and the highest COVID-19 risk neighborhoods reported higher vaccine coverage than the lowest risk neighborhoods (aOR 1.52; 95% CI: 1.12-2.05). Conclusion: In the first four months of wider vaccine availability in Alberta, COVID-19 vaccine coverage varied according to various place-based characteristics. Vaccine distribution strategies need to consider place-based variables for program prioritization and delivery.

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Geo-Visualisation of COVID-19 Pandemic and Vaccination in Nigeria: a Regional Approach

Odunsi,

Salisu,

Taiwo

et al. 2023

J geovis spat anal

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COVID-19 Vaccine Coverage Index: Identifying barriers to COVID-19 vaccine uptake across U.S. counties

Cited by 17 publications

References 18 publications

Moral Values Predict County-Level COVID-19 Vaccination Rates in the United States

Moral Values Predict County-Level COVID-19 Vaccination Rates in the United States

The influence of place on COVID-19 vaccine coverage in Alberta: A multilevel analysis

Geo-Visualisation of COVID-19 Pandemic and Vaccination in Nigeria: a Regional Approach

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