tetano
Editor, Senior Moderator
Vaccine
. 2024 Aug 1:126158.
doi: 10.1016/j.vaccine.2024.126158. Online ahead of print. A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022
Makhabele Nolana Woolfork[SUP] 1 [/SUP], Kambria Haire[SUP] 2 [/SUP], Oluyemi Farinu[SUP] 3 [/SUP], Jasmine Ruffin[SUP] 4 [/SUP], Jennifer M Nelson[SUP] 5 [/SUP], Fatima Coronado[SUP] 6 [/SUP], Benjamin J Silk[SUP] 7 [/SUP], LaTreace Harris[SUP] 8 [/SUP], Chastity Walker[SUP] 2 [/SUP], Brian J Manns[SUP] 2 [/SUP]
Affiliations
Introduction: Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities.
Methods: US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity.
Results: Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults.
Conclusion: COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.
Keywords: COVID-19 vaccines; Health equity science; Social vulnerability index; Vaccination coverage.
. 2024 Aug 1:126158.
doi: 10.1016/j.vaccine.2024.126158. Online ahead of print. A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022
Makhabele Nolana Woolfork[SUP] 1 [/SUP], Kambria Haire[SUP] 2 [/SUP], Oluyemi Farinu[SUP] 3 [/SUP], Jasmine Ruffin[SUP] 4 [/SUP], Jennifer M Nelson[SUP] 5 [/SUP], Fatima Coronado[SUP] 6 [/SUP], Benjamin J Silk[SUP] 7 [/SUP], LaTreace Harris[SUP] 8 [/SUP], Chastity Walker[SUP] 2 [/SUP], Brian J Manns[SUP] 2 [/SUP]
Affiliations
- PMID: 39095277
- DOI: 10.1016/j.vaccine.2024.126158
Introduction: Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities.
Methods: US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity.
Results: Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults.
Conclusion: COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.
Keywords: COVID-19 vaccines; Health equity science; Social vulnerability index; Vaccination coverage.