Evidence map›Paper›PMID 42591518›Full record

ArticleFrontiers in parasitology2026

Management-associated herd-level risk factors for cryptosporidiosis in dairy calves in Finland.

Tuulia Enbom, Leena Seppä-Lassila, Päivi J Rajala-Schultz, Kristiina Sarjokari, Jenni Suolaniemi, Helena Rautala, Olli Ruoho, Sinikka Pelkonen, Tiina Autio

Abstract read
In one paragraph

Article in Frontiers in parasitology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Tuulia EnbomAnimal Health Diagnostic Unit, Finnish Food Authority, Kuopio, Finland.
Leena Seppä-LassilaRisk Assessment Unit, Finnish Food Authority, Helsinki, Finland.
Päivi J Rajala-SchultzDepartment of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Kristiina SarjokariValio Ltd., Helsinki, Finland.
Jenni SuolaniemiInstitute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Helena RautalaDepartment of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Olli RuohoAnimal Health ETT, Seinäjoki, Finland.
Sinikka PelkonenAnimal Health Diagnostic Unit, Finnish Food Authority, Kuopio, Finland.
Tiina AutioAnimal Health Diagnostic Unit, Finnish Food Authority, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cryptosporidiosis is a prevalent diarrheal disease in young calves caused by the zoonotic protozoan parasite Methods: The case farms (n=77) were Finnish dairy farms with clinical, laboratory-confirmed cryptosporidiosis and the control farms (n=152) were Finnish dairy farms without any recent clinical calf diarrhea outbreaks recorded in the most recent veterinarian's herd health visit. Control farms were not tested for the presence of Results: The results indicate that a large herd size, cattle transfers between farms, insufficient isolation of sick calves from healthy ones, insufficient time for calf care, and five or more individuals involved in daily cattle work were all associated with increased risk of cryptosporidiosis. Discussion: The findings of this study suggest that several herd-level management factors were associated with the occurrence of cryptosporidiosis on dairy farms, and the external and internal biosecurity of farms should be improved. Information on potential factors predisposing to cryptosporidiosis can be used to target preventive management practices more effectively on cattle farms to prevent cryptosporidiosis in calves.

Indexed as

calvescryptosporidiosisCryptosporidium parvumdiarrhearisk factors

Identifiers

PMID42591518
PMCPMC13462212

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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.