Evidence map›Paper›PMID 40937114›Full record

ArticleJournal of public health in Africa2025

Evaluation of diphtheria surveillance system in Kaduna State, Nigeria, July 2023 - December 2023.

Uwaifiokun J Okhuarobo, Samuel A Owoicho, Jeremiah Daikwo, Isiaq H Shehu, Emmanuel Omomoh, Mfon-Obong P Ibara, Abiola O Oshunniyi, Oladipo O Ogunbode, Fatima Saleh

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2025. 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

9 authors.

Uwaifiokun J OkhuaroboNigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria.ORCID https://orcid.org/0000-0003-3545-3563
Samuel A OwoichoNigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria.ORCID https://orcid.org/0000-0001-8282-019X
Jeremiah DaikwoKaduna State Ministry of Health, Kaduna, Nigeria.ORCID https://orcid.org/0000-0002-8796-7673
Isiaq H ShehuNigeria Centre for Disease Control and Prevention, Abuja, Nigeria.ORCID https://orcid.org/0009-0001-3285-2633
Emmanuel OmomohAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0009-0007-6108-2205
Mfon-Obong P IbaraNigeria Field Epidemiology and Laboratory Training Programme, Abuja, Nigeria.ORCID https://orcid.org/0009-0006-7923-7167
Abiola O OshunniyiNigeria Centre for Disease Control and Prevention, Abuja, Nigeria.ORCID https://orcid.org/0000-0003-4685-0564
Oladipo O OgunbodeNigeria Centre for Disease Control and Prevention, Abuja, Nigeria.ORCID https://orcid.org/0000-0001-8337-796X
Fatima SalehNigeria Centre for Disease Control and Prevention, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-2246-0169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The re-emergence of the diphtheria outbreak in Nigeria raises concern about the surveillance system's capability to detect, prepare for and respond to outbreaks. Aim: To evaluate the usefulness and attributes of the diphtheria surveillance system in Kaduna State, Nigeria. Setting: Kaduna State, northwest Nigeria. Methods: An observational study, using a mixed-method approach, was adopted. It comprised a survey, a record review of the 2023 outbreak and key informant interviews. A pre-tested semi-structured self-administered questionnaire and an interview guide, adapted from the Centres for Disease Control and Prevention (CDC) (2001) guidelines on surveillance evaluation, were utilised. Three stakeholders were interviewed, 21 surveillance officers were surveyed, and eight surveillance attributes were assessed. Results: The outbreak data had 67% ( Conclusion: The system was acceptable to stakeholders, useful in detecting outbreaks, simple in data collection, flexible in accommodating changes and sensitive in identifying cases. However, resource constraints pose a threat to its stability. We recommend providing adequate resources, improving data quality and reporting from private health facilities. Contribution: The study underscores areas for improvement in the diphtheria surveillance system, highlighting the potential for targeted interventions to overhaul the system.

Indexed as

data accuracydiphtheriadisease outbreakshealth facilitiesNigeriasurveys and questionnaires

Identifiers

PMID40937114
PMCPMC12421565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.