Mobile devices donated to surveillance officers across Ogun’s local government areas are expected to speed up disease reporting, but sustained funding and reliable data will determine how much protection the digital system delivers.
Ogun State is strengthening its frontline disease detection system with mobile technology and an artificial intelligence-supported surveillance platform designed to help health authorities identify potential outbreaks and respond before they spread through communities.
The equipment was donated by the Artificial Intelligence Application for One Health (AIA4OneHealth) project and distributed to Disease Surveillance and Notification Officers across the state’s local government areas. The handover took place on Tuesday in collaboration with the Ogun State Ministry of Health.
The intervention comes as Nigeria intensifies public health surveillance following confirmation of an Ebola case in Abuja. Although Ogun reported no Ebola case as of October 21, the latest initiative could strengthen its ability to detect other infectious disease threats before they escalate.
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How the digital system is expected to work
The devices will support the state’s IDS-Master surveillance system, which uses digital technology and artificial intelligence to improve the collection, analysis and reporting of health information.
Disease Surveillance and Notification Officers serve as a critical link between communities and health authorities. They identify unusual health events, gather information and report suspected threats for further investigation.
Mobile reporting can reduce delays associated with traditional reporting channels, allowing officials to receive information sooner and assess where further investigation may be necessary. However, faster transmission alone cannot guarantee early detection. Reports must be accurate, reviewed promptly and followed by effective action.
Receiving the equipment on behalf of the state government, the Director of Public Health, Dr Bamiselu, commended the project team for supporting Ogun’s epidemic preparedness.
The programme also included a review of surveillance data submitted by local government areas, placing attention on the quality and consistency of reports, not merely the number received.
A reward system for better reporting
The project’s principal investigator, Professor Adesina Sodiya, discussed plans to improve the IDS-Master platform and expand its digital infrastructure.
Ado-Odo/Ota Local Government Area received recognition for submitting the highest volume of quality reports. Its Disease Surveillance and Notification Officer was presented with a special gift.
Sodiya also announced plans for a monthly reward system for local government areas producing the most accurate and comprehensive reports.
The approach is intended to encourage better reporting practices. Its effectiveness will depend on whether the system rewards verified, useful information rather than volume alone.
Funding will determine its future
The project is sponsored by the International Development Research Centre through the Artificial Intelligence for Pandemic and Epidemic Preparedness network.
Sodiya highlighted the need for sustainable funding and institutional backing to keep the platform operational and support future improvements.
That concern raises a central question: who will maintain the devices, cover connectivity costs, train replacement personnel and keep the software functional after the project’s support ends?
New Daily Prime’s assessment: Ogun’s investment offers an opportunity to move disease surveillance closer to communities, where unusual health patterns may first emerge. But the technology will deliver meaningful protection only if reliable reporting leads to timely investigations, adequate laboratory capacity and swift public health action.
The equipment is an important starting point. Its real value will be measured by how effectively it helps authorities detect threats early and prevent localised infections from becoming larger emergencies.
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