Related Experiment Video
Updated: Sep 14, 2025

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
Updated fine-scale location data for Blantyre district collected using a low-cost approach
Chifuniro Baluwa1, Patrick Ken Kalonde2,3, Upendo Lisa Mseka2
1Malawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi. cbaluwa@mlw.mw.
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.
More Related Videos
Related Concept Videos
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Levels of Use of a GIS
Methods of Obtaining Topography
Selected Data About Geographic Locations
GIS Software, Hardware, and Sources of GIS Data
Thematic Layering in GIS

