Evidence map›Paper›PMID 39679912›Full record

ArticleeLife2024

Livestock abortion surveillance in Tanzania reveals disease priorities and importance of timely collection of vaginal swab samples for attribution.

Felix Lankester, Tito J Kibona, Kathryn J Allan, William de Glanville, Joram J Buza, Frank Katzer, Jo E Halliday, Blandina T Mmbaga, Nick Wheelhouse, Elisabeth A Innes and 5 more

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. First report ofOpen veterinary journal · 2026
    Article
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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.

Felix LankesterPaul G. Allen School for Global Health, Washington State University, Pullman, United States.ORCID https://orcid.org/0000-0002-0802-0693
Tito J KibonaGlobal Animal Health Tanzania, Arusha, United Republic of Tanzania.
Kathryn J AllanSchool of Biodiversity, One Health, and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-6612-889X
William de GlanvilleSchool of Biodiversity, One Health, and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Joram J BuzaNelson Mandela African Institution of Science and Technology, Arusha, United Republic of Tanzania.
Frank KatzerMoredun Research Institute, Pentlands Science Park, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-5902-4136
Jo E HallidaySchool of Biodiversity, One Health, and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-1329-9035
Blandina T MmbagaKilimanjaro Clinical Research Institute, Moshi, United Republic of Tanzania.
Nick WheelhouseSchool of Applied Sciences, Edinburgh Napier University, Edinburgh, United Kingdom.
Elisabeth A InnesMoredun Research Institute, Pentlands Science Park, Edinburgh, United Kingdom.
Kate M ThomasCentre for International Health, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-1589-8314
Obed M NyasebwaMinistry of Livestock and Fisheries, Dodoma, United Republic of Tanzania.
Emanuel SwaiMinistry of Livestock and Fisheries, Dodoma, United Republic of Tanzania.
John R ClaxtonSchool of Biodiversity, One Health, and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Sarah CleavelandSchool of Biodiversity, One Health, and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/L018926/1University of Edinburgh R83537
6 · The paper itself

Abstract

Lack of data on the aetiology of livestock diseases constrains effective interventions to improve livelihoods, food security and public health. Livestock abortion is an important disease syndrome affecting productivity and public health. Several pathogens are associated with livestock abortions but across Africa surveillance data rarely include information from abortions, little is known about aetiology and impacts, and data are not available to inform interventions. This paper describes outcomes from a surveillance platform established in Tanzania spanning pastoral, agropastoral and smallholder systems to investigate causes and impacts of livestock abortion. Abortion events were reported by farmers to livestock field officers (LFO) and on to investigation teams. Events were included if the research team or LFO could attend within 72 hr. If so, samples and questionnaire data were collected to investigate (a) determinants of attribution; (b) patterns of events, including species and breed, previous abortion history, and seasonality; (c) determinants of reporting, investigation and attribution; (d) cases involving zoonotic pathogens. Between 2017-2019, 215 events in cattle (n=71), sheep (n=44), and goats (n=100) were investigated. Attribution, achieved for 19.5% of cases, was significantly affected by delays in obtaining samples. Histopathology proved less useful than PCR due to rapid deterioration of samples. Vaginal swabs provided practical and sensitive material for pathogen detection. Livestock abortion surveillance, even at a small scale, can generate valuable information on causes of disease outbreaks, reproductive losses and can identify pathogens not easily captured through other forms of livestock disease surveillance. This study demonstrated the feasibility of establishing a surveillance system, achieved through engagement of community-based field officers, establishment of practical sample collection and application of molecular diagnostic platforms.

Indexed as

Abortion, VeterinaryGoatsLivestockAnimalsCattleCattle DiseasesEpidemiological MonitoringFemaleGoat DiseasesPregnancySheepSheep DiseasesSpecimen HandlingTanzaniaVaginacommunity-basedepidemiologyglobal healthinfectious diseaselivestock abortionmicrobiologyPCRsyndromic surveillanceTanzaniazoonoses

Identifiers

PMID39679912
PMCPMC11649233

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.