Ontology highlight
ABSTRACT: Background
The increasing availability globally of building footprint datasets has brought new opportunities to support a geographic approach to health programme planning. This is particularly acute in settings with high disease burdens but limited geospatial data available to support targeted planning. The comparability of building footprint datasets has recently started to be explored, but the impact of utilising a particular dataset in analyses to support decision making for health programme planning has not been studied. In this study, we quantify the impact of utilising four different building footprint datasets in analyses to support health programme planning, with an example of malaria vector control initiatives in Zambia.Methods
Using the example of planning indoor
SUBMITTER: Chamberlain HR
PROVIDER: S-EPMC12103797 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature