COVID-19 vaccine coverage disparities in rural and farm children

VanWormer, Jeffrey J.; Alicea, Gabriella; Weichelt, Bryan; Berg, Richard L.; Sundaram, Maria E.

doi:10.1016/j.vaccine.2022.11.015

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…In line with the international literature, our analysis revealed significant associations between non-vaccination and various other sociodemographic factors, such as younger age of the parent [15] , [20] . Our analysis aligns with some studies [30] , [31] , [32] and diverges from others [14] , [21] in finding a significant independent association between rurality and increased childhood COVID-19 non-vaccination. These findings suggest that tailored interventions and messaging could be vital to effectively address the unique concerns and needs of these specific subpopulations.…”

Section: Discussionsupporting

confidence: 89%

Factors associated with childhood non-vaccination against COVID-19 in Canada: A national survey analysis

Guan,

Dave,

Ebrahim

et al. 2024

Vaccine: X

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Section: Discussionsupporting

confidence: 89%

Factors associated with childhood non-vaccination against COVID-19 in Canada: A national survey analysis

Guan,

Dave,

Ebrahim

et al. 2024

Vaccine: X

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“…So far, 13.01 billion doses of COVID-19 vaccines have been administered globally, and 2.51 million are now administered each day [48]. Whereas 68.5% of the world population has received at least one dose of a COVID-19 vaccine, 24.6% of people in low-income countries have received at least one dose as the result of disparities in global access to vaccines [49,50]. For example, only a small percentage of persons have received one vaccine dose in African countries [51].…”

Section: Discussionmentioning

confidence: 99%

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population

Nakamura,

Kobashi,

Kim

et al. 2024

PLOS Digit Health

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As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable datasets should be analyzed to best shape an effective vaccination strategy. We are collecting longitudinal data from a community-based cohort in Fukushima, Japan, that consists of 2,407 individuals who underwent serum sampling two or three times after a two-dose vaccination with either BNT162b2 or mRNA-1273. Using the individually reconstructed time courses of the vaccine-elicited antibody response based on mathematical modeling, we first identified basic demographic and health information that contributed to the main features of the antibody dynamics, i.e., the peak, the duration, and the area under the curve. We showed that these three features of antibody dynamics were partially explained by underlying medical conditions, adverse reactions to vaccinations, and medications, consistent with the findings of previous studies. We then applied to these factors a recently proposed computational method to optimally fit an “antibody score”, which resulted in an integer-based score that can be used as a basis for identifying individuals with higher or lower antibody titers from basic demographic and health information. The score can be easily calculated by individuals themselves or by medical practitioners. Although the sensitivity of this score is currently not very high, in the future, as more data become available, it has the potential to identify vulnerable populations and encourage them to get booster vaccinations. Our mathematical model can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.

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Sociodemographic Inequalities in COVID-19 Booster Dose Vaccination Coverage: a Retrospective Study of 196 Provinces in Peru

Intimayta-Escalante,

Tapia-Sequeiros,

Rojas-Bolivar

2024

J. Racial and Ethnic Health Disparities

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COVID-19 vaccine coverage disparities in rural and farm children

Cited by 5 publications

References 27 publications

Factors associated with childhood non-vaccination against COVID-19 in Canada: A national survey analysis

Factors associated with childhood non-vaccination against COVID-19 in Canada: A national survey analysis

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population

Sociodemographic Inequalities in COVID-19 Booster Dose Vaccination Coverage: a Retrospective Study of 196 Provinces in Peru

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