SORMAS
Built by SORMAS Foundation
SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an open-source disease-surveillance and outbreak-management system written in Java. It was piloted and deployed for epidemic response in Nigeria and Ghana and is used by African public-health institutes to track infectious diseases. It is released under GPL-3.0.
- Category
- Open Source
- Pricing
- Free / open-source
- Country
- 🇳🇬 Nigeria
- Last verified
- 25 Aug 2026
{ "name": "SORMAS", "slug": "sormas", "category": "OSS", "country": "NG", "docs_status": "LIVE", "licensing_required": "NONE", "verified": false, "last_verified": "2026-08-25", "website": "https://sormas.org", "documentation_url": null}Verification history
- 25 Aug 2026 · live
- 22 Aug 2026 · live
- 19 Aug 2026 · live
- 16 Aug 2026 · live
- 13 Aug 2026 · live
- 10 Aug 2026 · live
- 7 Aug 2026 · live
- 4 Aug 2026 · live
Automated checks run every few days. See all recent status changes
Tags
Compare SORMAS
Side-by-side, verified specs against its closest health-tech alternatives.
Related in Open Source
OpenLMIS
OpenLMIS is an open-source electronic logistics management information system for last-mile health commodity supply chains. The reference distribution bundles the services that track stock, orders and distribution of medicines and vaccines, and it is deployed in Tanzania, Zambia, Malawi and Mozambique. It is AGPL-3.0 licensed.
DHIS2 Core
DHIS2 is a large open-source health information management system, written in Java, containing the service layer and web API. It is used as the national routine health information system by many African ministries of health for immunisation, disease surveillance and program reporting. It is developed by the HISP programme at the University of Oslo and released under BSD-3-Clause.
OpenMRS Core
OpenMRS is an open-source medical record system platform whose Java API and web application form the foundation for national electronic medical record systems in several African countries, including Kenya's KenyaEMR. It supports patient records, encounters and clinical data in low-resource settings. It is released under the Mozilla Public License 2.0.