Reveal
Origin language: English
Country
Global
Coverage
International
Nb of implementation sites
500
Lead organization
Implementation partners
Macha research trust
The Mentor Initiative
Program for Appropriate Technology in Health (PATH)
Abt associates
Endfund
Akros
Malaria consortium
Johns Hopkins University
Clinton Health Access Initiative (CHAI)
Health Focus Area
Vaccination / Immunization
Communicable diseases
Services
Public health and disease surveillance
Predictive health and early diagnosis
Others
Enabling technologies
N/A
Standards
HL7 FHIR
Tools
N/A
Funding sources
N/A
Business model
N/A
Funders
Summary
Understanding population distribution is crucial for effective campaign planning and service delivery. Accurate data and streamlined information sharing are essential for enhancing intervention effectiveness, particularly in high-coverage situations. Reveal, an open-source spatial intelligence platform, utilizes satellite imagery and machine learning to facilitate in-field service delivery. It enables users to navigate communities, identify households, and collect data offline, which is subsequently synced and visualized on management dashboards. This real-time visualization allows managers to assess progress, identify gaps, and make quick adjustments, ensuring high coverage rates based on actual on-ground structures. The platform focuses on health areas such as vaccination/immunization and communicable diseases.
Keywords
DHA
Publications
Insights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
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Projects focusing on similar topics
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Any additional questions?
iDHA (Project ID)
ll3n81
Project links
https://smartregister.atlassian.net/wiki/spaces/REV/overviewOrigin of information
N/A
Data source link
N/AAdded to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
22
WHO classifications




