Evidence map›Paper›PMID 41438164›Full record

ArticleTransboundary and emerging diseases2025

Animal Disease Burden in Nigeria, 2006-2023.

Ahmad I Al-Mustapha, Veronica Adetunji, Oluwaseun A Ogundijo, Ismail A Odetokun, Lateefah Oyafajo, Hauwa W Abali, Muftau Oyewo, Ahmed Tijani Abubakar, Shuaibu Osu Muhammad, Deborah Adeolu Adetunji and 5 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 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. Animal Disease Burden in Nigeria, 2006-2023.Transboundary and emerging diseases · 2025
    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

15 authors.

Ahmad I Al-MustaphaDepartment of Veterinary Services, Kwara State Ministry of Agriculture and Rural Development, Ilorin, Kwara State, Nigeria.ORCID https://orcid.org/0000-0001-6328-4088
Veronica AdetunjiDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Oyo, Nigeria, ui.edu.ng.ORCID https://orcid.org/0000-0002-4305-8523
Oluwaseun A OgundijoDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Oyo, Nigeria, ui.edu.ng.ORCID https://orcid.org/0000-0002-7888-8279
Ismail A OdetokunDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ilorin, Ilorin, Kwara State, Nigeria, unilorin.edu.ng.ORCID https://orcid.org/0000-0002-5171-1895
Lateefah OyafajoDepartment of Food Science and Technology, Faculty of Basic and Applied Sciences, Osun State University, Osogbo, Osun State, Nigeria, uniosun.edu.ng.ORCID https://orcid.org/0000-0002-6447-2918
Hauwa W AbaliDepartment of Veterinary Services, Yobe State Ministry of Agriculture and Rural Development, Damaturu, Yobe State, Nigeria.ORCID https://orcid.org/0009-0006-2162-9782
Muftau OyewoDepartment of Veterinary Services, Kwara State Ministry of Agriculture and Rural Development, Ilorin, Kwara State, Nigeria.ORCID https://orcid.org/0000-0002-6125-2397
Ahmed Tijani AbubakarNigerian Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-0988-9825
Shuaibu Osu MuhammadDepartment of Veterinary and Pest Control Services, Federal Ministry of Agriculture and Rural Development, Abuja, FCT, Nigeria, fmard.gov.ng.ORCID https://orcid.org/0009-0002-2496-1108
Deborah Adeolu AdetunjiDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ibadan, Oyo, Nigeria, ui.edu.ng.ORCID https://orcid.org/0009-0000-9029-5452
Adesoji OdukoyaNigerian Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-1159-9341
Anasin HarunaDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, Sokoto, Nigeria, udusok.edu.ng.ORCID https://orcid.org/0009-0008-4791-0139
Folashade BamideleNigerian Field Epidemiology and Laboratory Training Program, Abuja, Nigeria.ORCID https://orcid.org/0000-0002-6382-271X
Nusirat EleluDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Ilorin, Ilorin, Kwara State, Nigeria, unilorin.edu.ng.ORCID https://orcid.org/0000-0003-1255-4572
Folorunso O FasinaFood and Agriculture Organization of the United Nations (FAO), Rome, Italy, fao.org.ORCID https://orcid.org/0000-0003-3088-8752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision-makers in animal health require reliable, evidence-based, timely, yet sensitive data to design disease contingency and preparedness plans, make informed decisions, and prioritize health interventions. Using Nigeria-specific animal health disease reports from the World Animal Health Information System (WAHIS), a global animal disease reporting platform, between 2006 and 2023, we conducted descriptive statistics to summarize the animal disease burden. We used a zero-inflated negative binomial (ZINB) regression model to forecast annual estimates of new outbreaks for the top 10 most reported diseases [Newcastle disease (NCD), infectious bursal disease (IBD), highly pathogenic avian influenza (HPAI), fowl typhoid, contagious bovine pleuropneumonia (CBPP), foot and mouth disease (FMD), African swine fever (ASF), peste des petits ruminants (PPR), rabies, and trypanosomiasis]. We analyzed 3362 official reports that were retrieved from the WAHIS platform and represented 9331 outbreaks of notifiable disease events that occurred in Nigeria. In summary, our analyses revealed that 3,248,945 cases and 4,911,495 culls were linked to the outbreaks, and ~2.2 million doses of vaccines were administered to animals. The most frequently reported non-zoonotic diseases were IBD (446 outbreaks) in poultry, PPR (2836 outbreaks) in small ruminants, and 642 outbreaks of CBPP in cattle. During the period under review, 3822 outbreaks (10 diseases) were reported to be zoonotic. Based on the animal species, there were 10 poultry diseases with HPAI (1230 outbreaks), NCD (1605 outbreaks), and fowl typhoid (241 outbreaks) being most frequently reported. In cattle, there were 11 diseases, with CBPP (642 outbreaks) and trypanosomiasis (233 outbreaks) being the most prevalent. The data revealed spatial variations in disease burden, with 20.7% (1934 outbreaks) reported from North Central Nigeria. Using data from 2006 to 2023, our model forecasted an increasing annual trend in the number of NCD outbreaks from 413 (95% CI: 246-679) in 2025 to 772 (95% CI: 473-1283) by 2030. There was a moderate increase in forecasted estimates for the vaccine-preventable diseases, rabies and FMD. The model forecasted some 68 FMD outbreaks (95% CI: 25-146) in 2025 and 144 (95% CI: 58-295) outbreaks by 2030 and Nigeria should plan against some 157 rabies outbreaks (95% CI: 79-289) in 2025, and this could rise to 252 outbreaks (95% CI: 133-457) by 2030. Outbreaks of ASF and the protozoan, tsetse-fly-transmitted disease trypanosomiasis were forecasted to have steady but slower increases, with ASF outbreaks estimated to range from 18 (95% CI: 5-46) in 2025 to 38 (95% CI: 13-93) by 2030y. Some 52 (95% CI: 19-112) outbreaks of the trypanosomiasis were forecasted for 2025. This is expected to increase to 95 (95% CI: 37-201) by 2030. The model estimated fewer than 10 (95% CI: 1-9) cases of HPAI annually. Finally, the model forecasted a modest but consistent rise in outbreaks of CBPP and fowl typhoid and a sharp increase in the outbreaks of PPR and IBD through 2030, mirroring gradual re-expansion across the country. Our findings underscore the high animal disease burden in Nigeria despite potential underreporting, necessitating enhanced animal disease prevention and control strategies and increased investment in veterinary healthcare infrastructure. To ease the disease burden, Nigeria should implement syndromic surveillance, invest in regional diagnostic capacities, train community animal health workers, and establish an transdisciplinary One Health approach to disease surveillance.

Indexed as

Animal DiseasesDisease OutbreaksAnimalsCattleCattle DiseasesNigeriaanimal disease burdenepidemic-prone diseaseshighly pathogenic avian influenzaNigeriapeste des petits ruminantstransboundary animal diseaseszoonoses

Identifiers

PMID41438164
PMCPMC12721471

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.