Strengthening Community Health Data with DHIS2: A Malaria Pilot in Edo State, Nigeria

Implementation - Implémentation Malaria
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This community innovation has been accepted at the 2026 DHIS2 Annual Conference as a digital poster.

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Poster Video:

Organization name:
St. Lawrence Medicine

Poster title:
Strengthening Community Health Data with DHIS2: A Malaria Pilot in Edo State, Nigeria

Description:
This poster presents a DHIS2-enabled malaria intervention designed to strengthen community-level health data systems and improve early detection, treatment, and surveillance in Edo State, Nigeria.
Malaria remains a leading cause of morbidity and mortality in underserved communities, largely due to delayed diagnosis, fragmented reporting systems, and limited real-time visibility of cases.
Building on experience from the EdoDIDA and EdoVoice initiatives—where DHIS2 was used for structured data collection, validation, and citizen feedback—this project extends DHIS2 into community-level health surveillance.

The intervention uses the DHIS2 Tracker module to capture individual-level malaria data, monitor testing outcomes, and track treatment and follow-up in real time.

The project targets 45,000 individuals, beginning with a 5,000-person pilot phase. Community health workers collect data directly from households, enabling early detection and faster response.

Expected outcomes include:
Improved malaria surveillance at the community level
Faster detection and treatment of cases
Enhanced data-driven decision-making
Stronger integration between community engagement and health systems
This work demonstrates how DHIS2 can be applied as a real-time, community-driven disease intelligence platform in low-resource settings.

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Below is the link to the video :film_frames:

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Thank you for viewing this poster.

This work is part of an ongoing effort to strengthen community-level malaria surveillance using DHIS2 in Edo State, Nigeria. I would greatly appreciate feedback from the community—particularly on Tracker configuration, data quality strategies, and approaches to scaling community-based implementations.

I’m also open to collaboration and learning from similar implementations in other contexts.

Looking forward to your insights and discussion.

lawifeo@gmail.com

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Challenges and Questions from an Accepted DHIS2 Annual Conference Abstract

Hello DHIS2 Community,

Thank you once again for My abstract, “Strengthening Community Health with Data,” accepted as a virtual presentation at the DHIS2 Annual Conference. The presentation is based on the Mother and Child Malaria Response Data Initiative (MCMR-DATA Initiative), which aims to strengthen community health systems through improved data collection, analysis, and use for decision-making.

During today’s 10/06/2026 conference meetup, participants were encouraged to share implementation challenges,ask questions and seek guidance from the Community of Practice. I would appreciate insights on the following areas:

1. Government Engagement and Approval

Our proposed implementation requires collaboration with the Edo State Ministry of Health. What approaches have DHIS2 implementers found most effective in securing government buy-in, approvals, and long-term ownership for community-level health data initiatives?

2. Technical Collaboration and Mentorship

As we prepare for implementation, we are seeking experienced DHIS2 practitioners who may be interested in providing remote technical guidance on system design, configuration, data governance, training, and monitoring frameworks.

3. Funding and Sustainability

We are exploring opportunities to support the pilot phase and future scale-up of the initiative. Are there recommended funding mechanisms, partner organizations, implementation grants, or sustainability models that have worked well for similar DHIS2-supported community health projects?

4. Community-Level DHIS2 Implementation

For those who have implemented DHIS2 at community level for malaria, maternal health, child health, or community health worker programs:

  • What were your biggest challenges?
  • What lessons would you share?
  • What would you do differently if starting again?

I look forward to learning from the experiences of the community and exploring opportunities for collaboration.

Thank you.

Amb. Ifeogome Lawrence
Project Lead, MCMR-DATA Initiative
CEO, St. Lawrence Medicine

Community Lead, DSN Edo
Nigeria

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