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Estimating county-level vaccination coverage using small area estimation with the National Immunization Survey-Child.

Authors :
Seeskin ZH
Ganesh N
Maitra P
Herman P
Wolter KM
Copeland KR
English N
Chen MP
Singleton JA
Santibanez TA
Yankey D
Elam-Evans LD
Sterrett N
Smith CS
Gipson K
Meador S
Source :
Vaccine [Vaccine] 2024 Jan 25; Vol. 42 (3), pp. 418-425. Date of Electronic Publication: 2023 Dec 23.
Publication Year :
2024

Abstract

The National Immunization Survey-Child (NIS-Child) provides annual vaccination coverage estimates in the United States for children aged 19 through 35 months, nationally, for each state, and for select local areas and territories. There is a need for vaccination coverage estimates for smaller geographic areas to support local authority planning and identify counties with potentially low vaccination coverage for possible further intervention. We describe small area estimation methods using 2008-2018 NIS-Child data to generate county-level estimates for children up to two years of age born 2007-2011 and 2012-2016. We applied an empirical best linear unbiased prediction method to combine direct estimates of vaccination coverage with model-based prediction using county-level predictors regarding health and demographic characteristics. We review the predictors commonly selected for the small area models and note multiple predictors related to barriers to vaccination.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-2518
Volume :
42
Issue :
3
Database :
MEDLINE
Journal :
Vaccine
Publication Type :
Academic Journal
Accession number :
38143201
Full Text :
https://doi.org/10.1016/j.vaccine.2023.12.046