Evidence map›Paper›PMID 33050125›Full record

ArticleMicroorganisms2020

Seroprevalence and Associated Risk Factors of Bovine Brucellosis at the Wildlife-Livestock-Human Interface in Rwanda.

Jean Bosco Ntivuguruzwa, Francis Babaman Kolo, Richard Simba Gashururu, Lydia Umurerwa, Charles Byaruhanga, Henriette van Heerden

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 7% 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, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Molecular characterization ofFrontiers in veterinary science · 2022
    Article
  15. Risk factors and Molecular genotyping ofOne health (Amsterdam, Netherlands) · 2021
    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

6 authors at 4 institutions in 3 countries.

Jean Bosco NtivuguruzwaDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria 0110, South Africa.ORCID 0000-0002-9404-2214
Francis Babaman KoloDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria 0110, South Africa.ORCID 0000-0003-2872-8864
Richard Simba GashururuDepartment of Veterinary Medicine, School of Veterinary Medicine, University of Rwanda, P.O.Box 57 Nyagatare, Rwanda.
Lydia UmurerwaDepartment of Animal Resources and Veterinary Services, Rwanda Agriculture and Animal Resources Board, P.O.Box 5016 Kigali, Rwanda.
Charles ByaruhangaDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria 0110, South Africa.
Henriette van HeerdenDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria 0110, South Africa.ORCID 0000-0002-3577-1273
University of Pretoria · ZAUniversity of Rwanda · RWNational Agricultural Research Organisation · UGRwanda Agriculture Board · RW

Funding

Institute of Tropical Medicine, Antwerp, Belgium ITM FA4
6 · The paper itself

Abstract

Bovine brucellosis is endemic in Rwanda; however, little information is available on seroprevalence and risk factors. Therefore, a cross-sectional study was conducted among cattle farmed at the wildlife-livestock-human interface (

Indexed as

brucellosispotential risk factorsRwandaseroprevalencewildlife-livestock-human interface

Identifiers

PMID33050125
PMCPMC7600169
OpenAlexW3092450876

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.