Evidence map›Paper›PMID 42605460›Full record

ReviewNigerian medical journal : journal of the Nigeria Medical Association

From the grassroots up: Redefining Public Health Surveillance in Nigeria through Community Action Networks.

Eniola Olubukola Cadmus, Mathias Ayuk Besong, Funmilayo Elizabeth Olaleye, Samuel Amifofum Owoicho, Adeyemi Olufunmilayo Jolaoso, Adegboyega Adetiloye Obadua, Adegboyega Famokun, Terese Gabriel Orum, Ephraim Nwanga, Victor Oluwatoyin Akinseye and 4 more

Abstract readReview
In one paragraph

Review in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Eniola Olubukola CadmusDepartment of Community Medicine, College of Medicine, University of Ibadan.
Mathias Ayuk BesongFederal Ministry of Livestock Development, Abuja, Nigeria.
Funmilayo Elizabeth OlaleyeDamien Foundation Centre for Genomics and Global Health, University of Ibadan, Ibadan.
Samuel Amifofum OwoichoFederal Ministry of Livestock Development, Edo State, Nigeria.
Adeyemi Olufunmilayo JolaosoDepartment of Veterinary Services, Ogun State Ministry of Agriculture.
Adegboyega Adetiloye ObaduaDepartment of Veterinary Services, Ministry of Agriculture, Akure, Ondo State, Nigeria.
Adegboyega FamokunDepartment of Epidemiology and Disease Control, Ondo State Ministry of Health.
Terese Gabriel OrumMinistry of Agriculture and Natural Resources, Ebonyi State, Nigeria.
Ephraim NwangaMinistry of Agriculture and Natural Resources, Ebonyi State, Nigeria.
Victor Oluwatoyin AkinseyeNigerian Institute of Medical Research, Yaba, Lagos.
Emmanuel Jolaoluwa AwosanyaDepartment of Veterinary Public Health & Preventive Medicine, University of Ibadan, Nigeria.
Hezekiah Kehinde AdesokanDepartment of Veterinary Public Health & Preventive Medicine, University of Ibadan, Nigeria.
Rashid AnsumanaNjala University, Bo, Sierra Leone.
Simeon Idowu CadmusDamien Foundation Centre for Genomics and Global Health, University of Ibadan, Ibadan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gaps in community-level surveillance continue to limit early detection of communicable diseases in Nigeria, particularly for zoonotic and emerging infections. Strengthening participatory, One-Health (OH)-oriented surveillance systems is critical for improving outbreak preparedness and response. The objective of this study is to evaluate the operational performance of Community Action Networks (CANs) in strengthening participatory, OH-oriented disease surveillance in Nigeria. Methodology: This was a retrospective program evaluation of the implementation of CAN under the West Africa One Health (WAOH) project. The project was conducted in eight Local Government Areas (LGAs) in five states. Community members (12- 15 per site) were trained in disease recognition, reporting, and risk communication using standardised tools. Surveillance data collected between January 2023 and March 2025 were analysed using descriptive and comparative approaches. Results: Eighty-six CAN members were trained. Between January 2023 and March 2025, 800 health events were reported across eight LGAs. Human health events accounted for 674 (84.2%), environmental events 62 (7.8%), and animal health events were infrequently reported. Reporting increased over time, with higher contributions from rural areas and substantial participation by female members (39, 45.4%). Most reports were channelled through District Surveillance and Notification Officers 559 (69.9%), indicating integration with existing surveillance structures. However, investigation and confirmation rates were higher for human health events compared to animal and environmental events. Conclusion: The CAN model demonstrates operational feasibility and potential to strengthen community-based surveillance and integration into national systems. Addressing gaps in animal and environmental health coordination will be essential for fully realising OH surveillance in Nigeria.

Indexed as

Community Action NetworkDisease SurveillanceEpidemic PreparednessNigeria One-Health

Identifiers

PMID42605460
PMCPMC13477702

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.