Conference Abstract | Volume 8, Abstract ELIC2025386 (Poster 048) | Published: 31 Jul 2025
Rejoice Kudirat Luka-Lawal1,&, Ibrahim Muhammad Usman1, Mardiyya Isyaku Aliyu1, Chizaram Fide-Nwaogu1, Anwar Abubakar1, Samuel Udofia2, Ibrahim Hussaini Attah1, Aisha Abdulazziz Abba1, Aanuoluwa Temitope Ige1, Michael Junior Ochayi1, Sulaiman Egyegini Ibrahim1, Victoria Oladipo1, Gbenga Joseph1, Jide Idris1
1Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria, 2eHealth Africa
&Corresponding author: Rejoice Kudirat Luka-Lawal, 1Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria. Email: rejoice.luka-lawal@ncdc.gov.ng
Received: 30 Apr 2025, Accepted: 09 Jul 2025, Published: 31 Jul 2025
Domain: Public Health
Keywords: Public Health Intelligence, Public Health, Early Detection, Incident Coordination Centre
©Rejoice Kudirat Luka-Lawal et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article: Rejoice Kudirat Luka-Lawal et al., Strengthening public health intervention through public health intelligence in Nigeria, 2022 to 2024. Journal of Interventional Epidemiology and Public Health. 2025;8(ConfProc5):00192. https://doi.org/10.37432/JIEPH-CONFPRO5-00192
Public Health Intelligence (PHI) is increasingly recognized as vital in modern healthcare systems, offering evidence-based insights for proactive and efficient responses to health emergencies. At the Nigeria Centre for Disease Control and Prevention, the Incident Coordination Centre (ICC) serves as the National hub for emergency coordination, where PHI integrates data from multiple event-based platforms such as SITAware, Epidemic Intelligence from Open Source (EIOS), Tataafo, and community surveillance systems. This study assesses the effectiveness of PHI in detecting and responding to disease outbreaks in Nigeria, identify system strengths and gaps, and provide recommendations to enhance public health response capacities.
From 2022 to 2024 Nigeria’s PHI system detected 1205 health signals through digital and community-based surveillance. SITAware contributed the largest share (877 signals; 72.8%), followed by media/community reports and third-party alerts (141 signals; 11.7%), EIOS (45; 3.7%), Tataafo (14; 1.2%), and other event-based inputs (128; 10.6%). Out of these signals picked across the years (2022-2024), 39 (3.2%) cases prompted preliminary and dynamic risk assessment which led to 26 (66.7%) EOC activation. This information prompted early detection, deployment of resources, and timely containment of potential outbreaks. The PHI system proved crucial in detecting early warning signs, guiding risk evaluation, and supporting evidence-driven interventions.
Between 2022 and 2024, Nigeria’s PHI system significantly enhanced early detection, responses to health emergencies and mitigation of potential public health threats. Through the integration of diverse data sources and structured assessments, PHI facilitated timely emergency responses and resource deployment. To maintain and build on this progress, there is a need for sustained investment in data integration, platform interoperability, and capacity building. Strengthening PHI remains essential for advancing National and Regional health security in West Africa.
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