Population-based denominators matter: Bias in U.S. Virgin Islands COVID-19 vaccination coverage under changing population counts.
Ann Epidemiol
; 95: 1-5, 2024 Jul.
Article
in En
| MEDLINE
| ID: mdl-38740077
ABSTRACT
PURPOSE:
The U.S. Virgin Islands (USVI) receives an updated population count once every 10 years and used 2010 decennial census population counts to estimate COVID-19 vaccination coverage during the COVID-19 emergency response. We investigated whether using outdated (2010) or modeled (2020 international database [IDB]) population counts biased vaccination coverage estimates used to inform public health priorities during the 2020-2022 COVID-19 response.METHODS:
We estimated percentage of USVI residents with a completed primary COVID-19 vaccination series during December 16, 2020-September 20, 2022. Vaccination coverage was calculated as number of persons who completed the vaccination series divided by 2010 and 2020 decennial census population counts and 2020 IDB intercensal estimate.RESULTS:
COVID-19 vaccination coverage using the 2020 population count was 12 % points higher than coverage using 2010 denominator (2010 denominator 51 %; 2020 denominator 63 %). Vaccination coverage estimated using 2020 IDB was approximately equal with the 2010 decennial census estimate (52 %).CONCLUSIONS:
Using 2010 and modeled population counts underestimated 2020 USVI COVID-19 vaccination coverage given the 18 % population decline during 2010-2020, potentially limiting USVI's ability to assess vaccination progress. Identifying mechanisms for more reliable population enumeration or improved estimate modeling are essential for accurately guiding USVI public health decision-making.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Vaccination Coverage
/
COVID-19 Vaccines
/
SARS-CoV-2
/
COVID-19
Limits:
Adolescent
/
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Caribe
/
Caribe ingles
/
Islas virgenes de los estados unidos
Language:
En
Journal:
Ann Epidemiol
Journal subject:
EPIDEMIOLOGIA
Year:
2024
Document type:
Article
Country of publication:
United States