Promoting data harmonization to evaluate vaccine hesitancy in LMICs: approach and applications.

ABSTRACT:

Background

Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health outcomes with datasets on potentially important contextual factors, like political violence or development, due to incompatible levels of geographic support; differing data formats and structures; differences in sampling procedures and wording; and the stability of temporal trends. We present a computational package to combine spatially misaligned datasets, and provide an illustrative analysis of multi-dimensional factors in health outcomes.

Methods

We rely on a new software toolkit, Sub-National Geospatial Data Archive (SUNGEO), to combine data across disci

SUBMITTER: Rego RT 

PROVIDER: S-EPMC10668461 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature