Evidence map›Paper›PMID 27135243›Full record

ArticlePloS one2016

Prevalence and Genetic Characterization of Cryptosporidium Species in Dairy Calves in Central Ethiopia.

Teklu Wegayehu, Robiul Karim, Manyazewal Anberber, Haileeyesus Adamu, Berhanu Erko, Longxian Zhang, Getachew Tilahun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Molecular analysis of cryptosporidiosis on cattle farms in Gran Canaria, Canary Islands (Spain).International journal of veterinary science and medicine · 2025
    Article
  5. Genetic diversity ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. First Molecular Genotyping ofArchives of Razi Institute · 2022
    Article
  13. Article
  14. Prevalence and Factors Associated withVeterinary medicine international · 2022
    Article
  15. Parasite epidemiology and control · 2021
    Article
  16. Article
  17. The Age-RelatedAnimals : an open access journal from MDPI · 2021
    Article
  18. Frontiers in veterinary science · 2021
    Article
  19. Article
  20. Parasite epidemiology and control · 2020
    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

7 authors at 4 institutions in 2 countries.

Teklu WegayehuAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Robiul KarimZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Manyazewal AnberberCollege of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia.
Haileeyesus AdamuInstitute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Berhanu ErkoAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Longxian ZhangCollege of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China.
Getachew TilahunAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Addis Ababa University · ETArba Minch University · ETHenan Agricultural University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of cryptosporidiosis due to Cryptosporidium parvum is well documented in HIV-positive patients in Ethiopia. However, the role of animals in zoonotic transmission of the disease is poorly understood. The aim of this study was to determine the prevalence and genotypes of Cryptosporidium species in dairy calves; to assess the role of cattle in zoonotic transmission in central Ethiopia. A total of 449 fecal samples were collected and screened using modified Ziehl-Neelson staining method and PCR targeting the small-subunit (SSU) rRNA gene. The prevalence of Cryptosporidium was 9.4% (42/449) and 15.8% (71/449) as detected by microscopy and nested PCR, respectively. The prevalence of infection varied significantly across the study areas with the higher prevalence being observed in Chancho 25.4% (30/118). Crossbred calves had significantly higher prevalence of Cryptosporidium than indigenous zebu. Genotyping results revealed the presence of C. andersoni (76.1%), C. bovis (19.7%) and C. ryanae (4.2%). The occurrence of these Cryptosporidium species appeared to be age-related. C. andersoni constituted 92.1% of the Cryptosporidium infection in calves older than 3 months. Sequence analysis also showed the existence of intra-species variation at SSU rRNA gene. Findings of the current study indicate that cattle may not be an important source of zoonotic cryptosporidiosis in central Ethiopia. Further molecular studies are needed to support this observation from other part of the country.

Indexed as

AnimalsCattleCross-Sectional StudiesCryptosporidiumDNA, ProtozoanEthiopiaFecesFemaleGenotypeMalePolymerase Chain ReactionPrevalenceDNA, Protozoan

Identifiers

PMID27135243
PMCPMC4852944
OpenAlexW2345988603

What OpenQuestion holds

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LicenceCC BY
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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.