Evidence map›Paper›PMID 26785744›Full record

ArticleBMC veterinary research2016

Prevalence of Cryptosporidium in small ruminants from Veracruz, Mexico.

Dora Romero-Salas, Cosme Alvarado-Esquivel, Anabel Cruz-Romero, Mariel Aguilar-Domínguez, Nelly Ibarra-Priego, José O Merino-Charrez, Adalberto A Pérez de León, Jesús Hernández-Tinoco

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Molecular and Epidemiological Investigation ofPathogens (Basel, Switzerland) · 2025
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  5. Apicomplexans in Goat: Prevalence ofAnimals : an open access journal from MDPI · 2022
    Article
  6. Review
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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 4 institutions in 2 countries.

Dora Romero-SalasLaboratorio de Parasitología. UD PZTM. Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana, Veracruz, Mexico. dromero@uv.mx.
Cosme Alvarado-EsquivelLaboratorio de Investigación Biomédica. Facultad de Medicina y Nutrición, Juárez University of Durango State, Avenida Universidad S/N, 34000, Durango, Mexico. alvaradocosme@yahoo.com.
Anabel Cruz-RomeroLaboratorio de Parasitología. UD PZTM. Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana, Veracruz, Mexico. anabcruz@uv.mx.
Mariel Aguilar-DomínguezLaboratorio de Parasitología. UD PZTM. Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana, Veracruz, Mexico. marieaguilar@uv.mx.
Nelly Ibarra-PriegoLaboratorio de Parasitología. UD PZTM. Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana, Veracruz, Mexico. nellydeljesus@yahoo.com.mx.
José O Merino-CharrezFacultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Tamaulipas, Cd. Victoria, Tamaulipas, Mexico. mero840125@hotmail.com.
Adalberto A Pérez de LeónUSDA-ARS Knipling-Bushland U.S. Livestock Insects Research Laboratory, and Veterinary Pest Genomics Center, Kerrville, TX, USA. Beto.PerezdeLeon@ARS.USDA.GOV.
Jesús Hernández-TinocoInstitute for Scientific Research "Dr. Roberto Rivera Damm", Juárez University of Durango State, Durango, Mexico. jhtinoco@yahoo.com.
Universidad Veracruzana · MXAutonomous University of Tamaulipas · MXKnipling-Bushland U.S. Livestock Insects Research Laboratory · USUniversidad Juárez del Estado de Durango · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidiosis is a zoonotic disease caused by the protozoan parasite Cryptosporidium spp. that can affect domestic animal and human populations. In newborn ruminants, cryptosporidiosis is characterized by outbreaks of diarrhea, which can result in high morbidity and economic impact. The aim of the present study was to determine the prevalence of Cryptosporidium spp. in small ruminants from the Perote municipality in Veracruz State, Mexico. One hundred and sixty small ruminants (80 sheep and 80 goats) from eight farms located in four towns of the Perote municipality were examined following a cross-sectional study design. Stool samples were analyzed by a modification of the Faust centrifugation method, and the presence of Cryptosporidium spp. oocysts was examined using a modification of the Ziehl-Neelsen staining procedure. Bivariate and multivariate analyses were used to assess the association of Cryptosporidium infection and the general characteristics of the animals studied.

resultsOverall, 112 (70%, 95% CI: 62.3-76.9) of the 160 small ruminants sampled were infected with Cryptosporidium spp. The prevalence of Cryptosporidium spp. infection in goats was 72.5% (95% CI: 61.4-81.9) and in sheep 67.5% (95% CI: 56.1-77.6). Small ruminants aged 1 month old had the highest (88.2%; 95% CI: 63.6-98.5) prevalence of infection. Prevalence varied from 60% to 85% among herds. Animal species, age, sex, breed, farm, town or cohabitation with cattle did not influence the prevalence of Cryptosporidium infection.

conclusionsA high prevalence of infection with Cryptosporidium spp. was observed in small ruminants from the Perote municipality in Veracruz, Mexico. Infection was widely distributed among sheep and goats regardless of their age, breed or farm location. Further research is required to identify risk factors for, and to assess the veterinary public health significance of Cryptosporidium infection among sheep and goats in the Mexican state of Veracruz.

Indexed as

AnimalsCryptosporidiosisCryptosporidiumFemaleGoatsMaleMexicoPrevalenceSheep

Identifiers

PMID26785744
PMCPMC4717630
OpenAlexW2268934534

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.