ArticlePLOS digital health2024
Establishing an early warning event management system at Africa CDC.
Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A rapid evaluation of the preparedness of Ethiopia's disease surveillance system for Mpox outbreak: a cross-sectional study of perspectives from professionals across various levels.Tropical medicine and health · 2026Article
- Use of emergency medical services in Liberia: a retrospective review of a novel EMS system.International journal of emergency medicine · 2026Article
- Event-Based surveillance (EBS) implementation in unstable and conflict settings: lessons learned from Sudan.Conflict and health · 2026Article
- Design and implementation of an evaluation framework for the Epidemic Intelligence from Open Sources (EIOS) system for international public health intelligence at the Robert Koch Institute, Germany, 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Event-Based Surveillance in mass gatherings: a global scoping review on effectiveness, scope, and lessons learned.Frontiers in public health · 2026Article
- Addressing the need for an operational research framework for Africa.Journal of public health in Africa · 2026Article
- Communicable Disease Surveillance in South Africa and LMICs: A Systematic Review of Systems, Challenges, and Integration with Environmental Health.Tropical medicine and infectious disease · 2025Review
- Development and Implementation of a Public Health Event Management System, Nigeria, 2018-2024.Emerging infectious diseases · 2025Article
- Addressing the global challenge of bacterial drug resistance: insights, strategies, and future directions.Frontiers in microbiology · 2025Review
- Evaluating the performance of digital surveillance for epidemic-prone diseases in Kwango Province, Democratic Republic of Congo.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Africa is home to hotspots of disease emergence and re-emergence. To adequately detect and respond to these health threats, early warning systems inclusive of event-based surveillance (EBS) are needed. However, data systems to manage these events are not readily available. In 2020, Africa Centres for Disease Control and Prevention developed an event management system (EMS) to meet this need. The district health information software (DHIS2), which is free and open-source software was identified as the platform for the EMS because it can support data capture and analysis and monitor and report events. The EMS was created through a collaborative and iterative prototyping process that included modifying key DHIS2 applications like Tracker Capture. Africa CDC started piloting the EMS with both signal and event data entry in June 2020. By December 2022, 416 events were captured and over 140 weekly reports, including 19 COVID-19 specific reports, were generated and distributed to inform continental awareness and response efforts. Most events detected directly impacted humans (69%), were considered moderate (50%) to high (29%) risk level and reflected both emerging and endemic infectious disease outbreaks. Highly pathogenic avian influenza, specifically H5N1, was the most frequently detected animal event and storms and flooding were most frequently detected environmental events. Both data completeness and timeliness improved over time. Country-level interest and utility resulted in four African countries adapting the EMS in 2022 and two more in 2023. This system demonstrates how integrating digital technology into health systems and utilising existing digital platforms like DHIS2 can improve early warning at the continental and country level by improving EBS workflow.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.