ArticleScientific data2025
Updated fine-scale location data for Blantyre district collected using a low-cost approach.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Does plastic waste present an infection hazard? Current evidence, surveillance challenges and research priorities.One health outlook · 2026Review
- Challenges and potential opportunities for improving One Health surveillance in low-resource settings: Insights from rabies surveillance in Malawi.One health outlook · 2026Article
- Updated fine-scale location data for Blantyre district collected using a low-cost approach.Scientific data · 2025Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Knowing up-to-date geographical location of residential areas is crucial for understanding health-related factors and formulating targeted interventions. However, such data are often unavailable or resource-intensive to collect. This study employed low-cost approaches to map residential areas in Blantyre district, Malawi, which was severely affected by a cholera outbreak that lasted over a year (March 2022 to August 2023). We trained five data collectors using KoBo Toolbox and engaged Health Surveillance Assistants (HSAs) and motorcycle operators for precise location identification. We validated the data by involving key stakeholders from Blantyre District Health Office (DHO) and Malawi-Liverpool-Wellcome Research Programme (MLW). We successfully mapped 764 locations, demonstrating the effectiveness in rapidly mapping both residential and hard-to-reach areas. Associated costs were calculated based on MLW standard rates. This process highlighted the critical importance of accurate geolocation for public health research and interventions. Our study provides valuable spatial data and showcases the feasibility of cost-effective methods for gathering crucial public health information in resource-limited settings, potentially serving as a model for similar efforts globally.
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Registered trials
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