Evidence map›Paper›PMID 30547772›Full record

ArticleBMC veterinary research2018

Brucellosis in the Addis Ababa dairy cattle: the myths and the realities.

Bedaso Mammo Edao, Gizachew Hailegebreal, Stefan Berg, Aboma Zewude, Yemiserach Zeleke, Teshale Sori, Gizat Almaw, Adrian M Whatmore, Gobena Ameni, James L N Wood

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Veterinary sciences · 2024
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  6. Article
  7. Review
  8. Whole genome sequencing of EthiopianFrontiers in microbiology · 2023
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  15. Seroepidemiology of bovine brucellosis in Colombia's preeminent dairy region, and its potential public health impact.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  16. Article
  17. 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

10 authors at 4 institutions in 2 countries.

Bedaso Mammo EdaoDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, UK. edaobedaso@gmail.com.ORCID http://orcid.org/0000-0002-2123-0978
Gizachew HailegebrealSouth Agricultural Research Institute, Worabe Agricultural Research Center, P.O.Box 21, Worabe, Ethiopia.
Stefan BergAnimal and Plant Health Agency, Woodham Lane, Addlestone, KT15 3NB, UK.
Aboma ZewudeAklilu Lemma Institute of Pathobiology, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Yemiserach ZelekeAklilu Lemma Institute of Pathobiology, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Teshale SoriCollege of Veterinary Medicine, Addis Ababa University, P.O.Box 34, Bishoftu, Ethiopia.
Gizat AlmawNational Animal Health Diagnostic and Investigation Centre, Sebeta, Ethiopia.
Adrian M WhatmoreAnimal and Plant Health Agency, Woodham Lane, Addlestone, KT15 3NB, UK.
Gobena AmeniAklilu Lemma Institute of Pathobiology, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
James L N WoodDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, CB3 0ES, UK.
Addis Ababa University · ETAnimal and Plant Health Agency · GBUniversity of Cambridge · GBAmhara Regional Health Bureau · ET

Funding

Biotechnology and Biological Sciences Research Council (GB), The Economic and Social Research Council(GB),The Medical Research Council(GB),the Natural Environment Research Council(GB), and the Defence Science and Technology Laboratory under the Zoonoses and Emerging Livestock Systems (ZELS)Programme ref:BB/L018977/1
6 · The paper itself

Abstract

backgroundBovine brucellosis is considered as an important disease among livestock and people in sub-Saharan African countries including Ethiopia. A cross-sectional study was conducted from November 2016 to May 2017 to estimate the prevalence and associated risk factors, and to assess knowledge-attitude and practices (KAP) of farm workers about bovine brucellosis in Addis Ababa dairy farms.

resultsA total of 1550 cattle from 127 dairy farms were serially tested using the Rose Bengal Plate Test (RBPT), Competitive Enzyme-Linked Immunosorbant Assay (c-ELISA) and Complement Fixation Test (CFT). Forty-three (2.77%) of the collected sera were positive by the RBPT and only one of these was positive by c-ELISA (0.06%) and none was positive by CFT. The knowledge of farm workers towards the disease was very low and risk factors associated with Brucella infection were apparent in the study area.

conclusionSeropositivity for Brucella spp. was found in only a very small percentage by c-ELISA test, although risk factors for transmitting Brucella infection were present. The results suggest that bovine brucellosis is currently not a generalized problem in dairy cattle of Addis Ababa. Since this favorable disease situation is not the result of informed policy, there is no guarantee that it will continue unchanged. Setting clear policy in control of the disease and implementing "One Health" are the most constructive approaches recommended.

Indexed as

AnimalsAntibodies, BacterialBrucellosis, BovineCattleCross-Sectional StudiesDairyingDiagnostic Techniques and ProceduresEnzyme-Linked Immunosorbent AssayEthiopiaRisk FactorsSeroepidemiologic StudiesAntibodies, BacterialAddis AbabaBrucellaDairy cattleEthiopiaRisk factorsSeroprevalence

Identifiers

PMID30547772
PMCPMC6293529
OpenAlexW2904739185

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.