Evidence map›Paper›PMID 38498555›Full record

ArticlePLoS neglected tropical diseases2024

Sero-prevalence and risk factors associated with occurrence of anti-Brucella antibodies among slaughterhouse workers in Uganda.

James Katamba Bugeza, Kristina Roesel, Denis Rwabiita Mugizi, Lordrick Alinaitwe, Velma Kivali, Clovice Kankya, Ignacio Moriyon, Elizabeth Anne Jessie Cook

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. BMJ open · 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

8 authors at 6 institutions in 5 countries.

James Katamba BugezaInternational Livestock Research Institute (ILRI), Kampala, Uganda.ORCID 0000-0002-8124-2807
Kristina RoeselInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Denis Rwabiita MugiziInternational Livestock Research Institute (ILRI), Kampala, Uganda.
Lordrick AlinaitweInternational Livestock Research Institute (ILRI), Kampala, Uganda.
Velma KivaliInternational Livestock Research Institute (ILRI), Kampala, Uganda.
Clovice KankyaCollege of Veterinary Medicine, Animal Resources and Biosecurity (CoVAB), Makerere University, Kampala, Uganda.
Ignacio MoriyonDepartamento Microbiología y Parasitología, Universidad de Navarra, Edificio de Investigación c/Irunlarrea 1, Pamplona, Spain.
Elizabeth Anne Jessie CookInternational Livestock Research Institute (ILRI), Nairobi, Kenya.ORCID 0000-0001-6081-8363
International Livestock Research Institute · KEFreie Universität Berlin · DEMakerere University · UGNational Agricultural Research Institute · UGUniversidad de Navarra · ESUniversity of Bern · CH

Funding

CGIAR Research Programs on Livestock and Agriculture for Nutrition and HealthGerman Federal Ministry of Economic Cooperation and Development (BMZ)Makerere University Research Innovation Fund (Mak-RIF)
6 · The paper itself

Abstract

introductionBrucellosis is a febrile zoonosis occurring among high-risk groups such as livestock keepers and abattoir workers and is a public health priority in Uganda. The technical complexities of bacteriological and molecular methods make serological approaches the cornerstone of diagnosis of human brucellosis in resource limited settings. Therefore, proper application and interpretation of serological tests is central to achieve a correct diagnosis. MATERIALS AND

methodsWe conducted a cross-sectional study to estimate the seroprevalence and factors associated with anti-Brucella antibodies among slaughterhouse workers processing ruminants and pigs in three regions of the country with serial testing using a combination of the Rose Bengal Test (RBT) and the BrucellaCapt test. An authorized clinician collected 543 blood samples from consenting abattoir workers as well as attribute medical and social demographic data. Univariable and multivariable logistic regression were used to determine factors associated with anti-Brucella sero-positivity. RESULTS AND DISCUSSION: The sero-prevalence among ruminant slaughterhouse workers ranged from 7.3% (95% CI: 4.8-10.7) using BrucellaCapt to 9.0% (95% CI: 6.3-12.7) using RBT. Slaughterhouse workers from the Eastern regions (AOR = 9.84, 95%CI 2.27-69.2, p = 0.006) and those who graze animals for alternative income (AOR = 2.36, 95% CI: 1.91-6.63, p = 0.040) were at a higher risk of exposure to Brucella. Similarly, those who wore Personal Protective Equipment (AOR = 4.83, 95%CI:1.63-18.0, p = 0.009) and those who slaughter cattle (AOR = 2.12, 95%CI: 1.25-6.0, p = 0.006) were at a higher risk of exposure to Brucella. Those who slaughter small ruminants (AOR = 1.54, 95%CI: 1.32-4.01, p = 0.048) were also at a higher risk of exposure to Brucella. CONCLUSIONS AND RECOMMENDATIONS: Our study demonstrates the combined practical application of the RBT and BrucellaCapt in the diagnosis of human brucellosis in endemic settings. Both pharmaceutical (e.g., routine testing and timely therapeutic intervention), and non-pharmaceutical (e.g., higher index of suspicion of brucellosis when investigating fevers of unknown origin and observation of strict abattoir hygiene) countermeasures should be considered for control of the disease in high-risk groups.

Indexed as

BrucellaBrucellosisAbattoirsAnimalsAntibodies, BacterialCattleCross-Sectional StudiesHumansPrevalenceRisk FactorsRose BengalRuminantsSeroepidemiologic StudiesSwineUgandaAntibodies, BacterialRose Bengal

Identifiers

PMID38498555
PMCPMC10977895
OpenAlexW4392928446

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.