District-level estimation of vaccination coverage: Discrete vs continuous spatial models.

ABSTRACT: Health and development indicators (HDIs) such as vaccination coverage are regularly measured in many low- and middle-income countries using household surveys, often due to the unreliability or incompleteness of routine data collection systems. Recently, the development of model-based approaches for producing subnational estimates of HDIs using survey data, particularly cluster-level data, has been an active area of research. This is mostly driven by the increasing demand for estimates at certain administrative levels, for example, districts, at which many development goals are set and evaluated. In this study, we explore spatial modeling approaches for producing district-level estimates of vaccination coverage. Specifically, we compare discrete spatial smoothing models which directly model

SUBMITTER: Utazi CE 

PROVIDER: S-EPMC8638675 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature