Evidence map›Paper›PMID 42530718›Full record

ArticleTropical animal health and production2026

Economic analysis of neonatal calf diarrhea and associated risk factors in dairy cattle farms in Türkiye.

Yasin Parlatır, Seyfettin Tuncel, Pınar Ayvazoğlu Demir

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In one paragraph

Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yasin ParlatırDepartment of Internal Medicine, Faculty of Veterinary Medicine, University of Kırıkkale, Kırıkkale, Türkiye. yasinparlatir@kku.edu.tr.ORCID http://orcid.org/0000-0002-6210-8979
Seyfettin TuncelDepartment of Animal Health Economics and Management, Faculty of Veterinary Medicine, University of Kırıkkale, Kırıkkale, Türkiye.ORCID http://orcid.org/0000-0003-3575-1835
Pınar Ayvazoğlu DemirDepartment of Animal Health Economics and Management, Faculty of Veterinary Medicine, University of Kırıkkale, Kırıkkale, Türkiye.ORCID http://orcid.org/0000-0002-7010-0475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the epidemiological characteristics and associated risk factors of neonatal calf diarrhea (NCD) across 115 dairy cattle farms representing seven geographical regions in Türkiye. Our findings revealed a calf diarrhea prevalence of 26.81%, with an associated mortality rate of 15.58%. Furthermore, NCD was observed to cause a substantial 11-30% reduction in weight gain, highlighting its significant economic impact. Logistic regression analysis identified that the presence of dedicated maternity and calf housing, timely colostrum administration, and stringent hygiene protocols (specifically teat and bottle disinfection) significantly mitigate the risk of diarrhea. Notably, the probability of NCD was 81% lower in enterprises equipped with a maternity compartment and 71% lower in those with separate calf housing. While seasonal variations and regional climatic differences-specifically in temperate and Mediterranean zones-indicated a lower incidence of diarrhea, these parameters did not reach statistical significance. The study concludes that strategic investments in managerial infrastructure and the rigorous application of preventive hygiene practices are paramount to minimizing the substantial economic losses attributed to neonatal calf diarrhea in the dairy industry.

Indexed as

Cattle DiseasesDairyingDiarrheaAnimalsAnimals, NewbornCattleFemalePrevalenceRisk FactorsTurkeyCalfDiarrheaEconomic effectsEconomic lossRisk factors

Identifiers

What OpenQuestion holds

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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.