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Early Warning Outbreak Recognition System (EWORS)

Origin language: English
Cover image
Target population
N/A
Beneficiaries500001 - 1M
EvidenceN/A
Start date2020/10
End date2024/09
StagePilot project/testing/trials
Country
Nigeria
Coverage
National
Nb of implementation sites
1000
Lead organization
Implementation partners

Health Focus Area
Others
Communicable diseases
Services
Predictive health and early diagnosis
Public health and disease surveillance
Enabling technologies
N/A
Standards
BPPC - Basic Patient Privacy Consents
ICD-10
HL7 v3
JSON
HL7 v2
Tools
N/A
Funding sources
N/A
Business model
N/A
Funders
N/A
Summary
EWORS is an AI-driven early warning disease surveillance system aimed at identifying potential outbreaks. Since its launch in 2020 in Nigeria as a real-time tuberculosis (TB) surveillance tool, funded by the USAID TB Local Organizations Network Program, it has effectively doubled TB case detection in local communities across 14 states. Its primary focus areas include communicable diseases and other health concerns.
Keywords
DHA
Publications
Insights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
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Any additional questions?
iDHA (Project ID)
5esnxw
Project links
N/A
Origin of information
N/A
Data source link
N/A
Added to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
4
WHO classifications
WHO LogoGeneva Digital Health Hub Logo