Healthsites.io - Global Healthsites Mapping Project

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Authors: Healthsites.io
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Abstract

A global dataset of health facility locations extracted from OpenStreetMap by the Healthsites.io project. Contains two resources: World-node (point locations of individual health facilities) and World-way (building footprints and outlines of health facilities). Data is provided in Shapefile format. When a natural disaster or disease outbreak occurs there is a rush to establish accurate health care location data that can be used to support people on the ground. This has been demonstrated by events such as the Haiti earthquake and the Ebola epidemic in West Africa. As a result, valuable time is spent establishing accurate and accessible baseline health data. Healthsites establishes this data and the tools necessary to upload, manage and make this data easily and readily accessible. https://healthsites.io/ is Digital Public Good Through the Emergency health mapping campaign we have established a participatory approach and collaboration between a local OpenStreetMap chapter and health authorities to improve health facility data accuracy. By utilizing open data and statistical methods, communities can empower Ministries of Health, address Sustainable Development Goals (SDGs) indicators, and enhance emergency response. Through collaborations with users, trusted partners and OpenStreetMap, the Global Healthsites Mapping Project aims to capture and validate the location and contact details of every health facility, and make this data freely available under the Open Data License(ODBL). The project outlined in this wiki focuses on the development of an OpenStreetMap data model that can be used in Healthsites.io to capture the data for both platforms. This wiki page also outlines some examples for best practices when tagging health facilities, as well as providing overall context to the Healthsites initiative and linking to other pages for creating and sharing this data. Data Model The OSM data model put together for Healthsites was initially based off of several data models used in various HOT projects across South America, Africa and Southeast Asia. The initial list of tags was then compared to the data model that Healthsites.io was already using to ensure that the same attributes were still being captured, but also offered some suggestions for additional key information that should be captured for health facilities. This was based on the numerous collaborations with HOT project partners over the years and their data needs. The overall idea is to use existing OSM tags where possible and only propose new tags where necessary. A lot of research went into the development of the Healthsites OSM data model, including the review of existing HOT data models and OSM data models available on the OSM wiki. Verification of the tags usage through the OSM wiki, Tag Info and Tag History, with further analysis on tags using OSMFilter for certain areas of interest, helped identify values generally applied in a local area. The last step involved in the creation of the Healthsites OSM data model was discussing and assessing the health facility components and the associated tags to capture this data, with partners Médecins Sans Frontières (MSF) International and CartONG, who have both conducted many projects focused on the data collection of health facilities across the globe. There are two data models outlined below. The first is the 'Simplified' OSM model, which is the minimum mandatory attribute information required for a health facility. The second is the 'Complete' model, which outlines all the tags that should be used to capture a complete list of vital information for health facilities.

Fields of Study & Subjects

Geographic Information Systems Studies 3D Modeling in Geospatial Applications Automated Road and Building Extraction

Publication details

Journal / source
GEO Knowledge Hub
Publication date
1 August 2026