Evidence map›Paper›PMID 32070337›Full record

ArticleBMC veterinary research2020

Socio-economic impacts of brucellosis on livestock production and reproduction performance in Koibatek and Marigat regions, Baringo County, Kenya.

Peter N Lokamar, Moses A Kutwah, Harrysone Atieli, Sussy Gumo, Collins Ouma

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

43 citing papers in PubMed, 65 citations in OpenAlex.

  1. Influence of heme and pH on the oligomeric states of Brucella melitensis bacterioferritin.Acta crystallographica. Section D, Structural biology · 2026
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  13. Hybrid Whole Genomes ofMicroorganisms · 2025
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  14. A detailed review of bovine brucellosis.Open veterinary journal · 2025
    Review
  15. Article
  16. Molecular Detection ofInternational journal of microbiology · 2025
    Article
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  20. Animal Disease Burden in Nigeria, 2006-2023.Transboundary and emerging diseases · 2025
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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

5 authors at 1 institution in 1 country.

Peter N LokamarDepartment of Public Health, School of Public Health and Community Development, Maseno University, Kisumu, Kenya.
Moses A KutwahKenya Nutritionists and Dieteticians Institute, Nairobi, Kenya.
Harrysone AtieliDepartment of Public Health, School of Public Health and Community Development, Maseno University, Kisumu, Kenya.
Sussy GumoDepartment of Religion, Theology and Philosophy, School of Arts and Social Sciences, Maseno University, Kisumu, Kenya.
Collins OumaDepartment of Biomedical Sciences and Technology, School of Public Health and Community Development, Maseno University, Kisumu, Kenya. collinouma@yahoo.com.ORCID http://orcid.org/0000-0001-8205-8887
Maseno University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis in Africa is caused by Brucella species transmitted through contaminated or contacts with infected animals or their carcasses. The disease reduces livestock production and reproduction performance evident by frequent episodes of abortion, still births, swollen testes, weak calves/lambs and swollen joints. However, the socio-economic impacts of these brucellosis-associated symptoms on milk, fat, meat and blood production, infertility, sale value, dowry and costs of treatment has not been evaluated extensively in developing countries. In Baringo County, Kenya, there is a continuous movement of cattle as a result of trade and grazing, which predisposes many herds to brucellosis infection. The objective of this study was to investigate the socio-economic impacts of Brucella infection on production systems for sheep, goats, cattle and camels and explore the impact of brucellosis on livestock production and reproduction performance among livestock keeping communities in Baringo County, Kenya. The study adopted a cross-sectional survey using quantitative data collection methods.

resultsResults demonstrated an impact on milk production in suspected brucellosis cases resulting from abortions (OR = 0.151, P < 0.0001) and swollen joints (OR = 2.881, P < 0.0001). In terms of infertility, abortion as a symptom of brucellosis (OR = 0.440, P = 0.002), still birth (OR = 0.628, P = 0.042), and weak calf or lamb (OR = 0.525, P = 0.005) had an impact on infertility. In terms of sale value, abortion (OR = 0.385, P = 0.008), weak calf/lamb (OR = 2.963, P = 0.013) had an impact on sale value. Other analyses demonstrated that for dowry, swollen testes (OR = 5.351, P = 0.032), weak calf and lambs (OR = 0.364, P = 0.019) had a likelihood of reduction of dowry value. Finally, in terms of cost of treatment, abortion (OR = 0.449, P = 0.001), still births (OR = 0.208, P = 0.015), swollen testes (OR = 0.78, P = 0.014), weak calf/lambs (OR = 0.178, P = 0.007) and swollen joints (OR = 0.217, P = 0.003) significantly increased the costs of treatments. There was no impact on fat and meat and blood production.

conclusionEven though there was a huge socio-economic impact on milk production, infertility, sale value, and dowry, it was the costs of treatment that was significantly impacted on all symptoms associated with brucellosis on this community. A 'One Health' approach in tackling the brucellosis menace as a holistic approach is recommended for both humans and their livestock.

Indexed as

LivestockAbortion, VeterinaryAnimal HusbandryAnimalsBrucellosisCross-Sectional StudiesDairyingFemaleHumansInfertilityKenyaMaleMarriageSocioeconomic FactorsSurveys and QuestionnairesBaringo CountyBrucellosisFarmersKenyaPerceived impact

Identifiers

PMID32070337
PMCPMC7027201
OpenAlexW3011083240

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.