Assessing the impact of building footprint dataset choice for health programme planning: a case study of indoor residual spraying (IRS) in Zambia
The results of this study show that the choice of building footprint dataset can have a considerable impact on the potential settlements identified for IRS, in terms of (i) their location and count, and (ii) the count of building footprints within priority settlements. The choice of dataset potentially has substantial implications for campaign planning, implementation and coverage assessment. Given the magnitude of the differences observed, further work should more broadly assess the sensitivity of health programme planning metrics to different building footprint datasets, and across a range of geographic contexts and health campaign types.
Authors
- Anna Winters (ORCID: https://orcid.org/0009-0005-5675-608X)
- Olena Borkovska (ORCID: https://orcid.org/0000-0001-6400-1537)
- Attila N. Lázár (ORCID: https://orcid.org/0000-0003-2033-2013)
- Derek Pollard (ORCID: https://orcid.org/0009-0009-8585-8172)
- Andrew J. Tatem (ORCID: https://orcid.org/0000-0002-7270-941X)
- Garikai Membele (ORCID: https://orcid.org/0000-0003-1863-5533)
- Silvia Renn (ORCID: https://orcid.org/0000-0003-1964-2241)
- Heather Chamberlain (ORCID: https://orcid.org/0000-0003-0828-6974)
- Chisenga Abel Musuka
Institutions
- National Grid (United States) (US)
- University of Zambia (ZM)
- Golden Valley Agricultural Research Trust (ZM)
- Missoula County Public Schools (US)
- National HIV/AIDS/STI/TB Council (ZM)
- University of Southampton (GB)
- University of Montana (US)
Publication Details
- Journal
- International Journal of Health Geographics
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1186/s12942-025-00398-7
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Bill and Melinda Gates Foundation
- University of Southampton
- Foreign, Commonwealth and Development Office