Evidence map›Paper›PMID 41112151›Full record

ArticleFrontiers in veterinary science2025

Prevalence and infestation dynamics of intestinal protozoa infections (cryptosporidiosis, giardiasis and eimeriosis) among calves in dairy farms of Kazakhstan.

Altay Ussenbayev, Dariyash Kurenkeyeva, Ali Aydin, Laura Sakhariya, Saidulla Ruzmatov

Abstract read
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Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Altay UssenbayevVeterinary Medicine Department, S Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Dariyash KurenkeyevaDepartment of Information and Communication Technologies, Tashenev University, Shymkent, Kazakhstan.
Ali AydinDepartment of Food Hygiene and Technology, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Laura SakhariyaVeterinary Medicine Department, S Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.
Saidulla RuzmatovVeterinary Medicine Department, S Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates the epidemiological characteristics of significant gastrointestinal protozoa diseases among calves, including cryptosporidiosis, giardiasis, and eimeriosis, in Kazakhstan. Methods: Using cross-sectional surveys and laboratory diagnostics we examined the age and seasonal dynamics of intestinal parasitic infestations in calves, specifically focusing on Giardia spp., Cryptosporidium spp., and Eimeria spp. For this purpose, samples of feces were individually collected from 1,586 calves of varying ages and breeds in 12 industrialized farms from 11 districts of Akmola and Northern Kazakhstan Regions. Parasites were identified using Fuelleborn, Heine and ZnSO4 flotation microscopic techniques. Calves were categorized into four age groups (1-30, 31-90, 91-120, and >120 days) to evaluate the prevalence and age- associated risk of infection with above parasite species, and their combinations. Logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs), using calves aged 1-30 days as the reference group. To examine the effects of age and time of year on the likelihood of parasitic infection ANOVA and a generalized additive logistic model (GAM) were used. It was found that in all investigated farms the age significantly influences the likelihood of infection with each parasite. Results and discussion: Cryptosporidium spp. infections were highly concentrated in the youngest calves, with prevalence 49.2% detected in the 1-30-day group. The risk of infection dropped dramatically with older age (

Indexed as

calvescentral and northern KazakhstanCryptosporidiumdairy farmsEimeriaGiardiaprevalence

Identifiers

PMID41112151
PMCPMC12533579

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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.