Evidence map›Paper›PMID 40351769›Full record

ArticleFrontiers in veterinary science2025

Factors affecting respiratory vaccination in Oklahoma cow-calf operations.

Kristina Harwell, Amy D Hagerman, Kellie Curry Raper, Hannah Shear, Rosslyn Biggs, Barry Whitworth

Abstract read
In one paragraph

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

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

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

6 authors.

Kristina HarwellSimmons Pet Food, Siloam Springs, AR, United States.
Amy D HagermanDepartment of Agricultural Economics, Oklahoma State University, Stillwater, OK, United States.
Kellie Curry RaperDepartment of Agricultural Economics, Oklahoma State University, Stillwater, OK, United States.
Hannah ShearDepartment of Agricultural Economics, Oklahoma State University, Stillwater, OK, United States.
Rosslyn BiggsCollege of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Barry WhitworthOklahoma Cooperative Extension Service, Oklahoma State University, Stillwater, OK, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Respiratory disease is a leading cause of death loss among US beef cattle operations and has significant lingering negative impacts on calf health, performance, and financial returns as they move through the supply chain. It can also negatively impact cowherd reproductive performance. Yet, a significant number of beef cattle operations have not adopted respiratory vaccination for calves or the breeding herd. Methods: This analysis explores the potential reasons why some producers vaccinate their cattle and some do not, including how influential factors regarding vaccination adoption differ between calves and the breeding herd using Probit regression analysis. Results: Regression results indicate that, for calves, the likelihood of respiratory vaccine adoption is most influenced by herd size and the use of other vaccines. Breeding herd vaccination decisions are more complex, influenced not by herd size but rather by disease knowledge and risk perception, producer education, and cost barriers. Discussion: Herd health management education efforts through veterinarians and extension services can use these results to better target respiratory vaccination information addressing some of these barriers, improving national cattle herd health.

Indexed as

beef cattlebiosecurityherd health managementproducer surveyrespiratory vaccination

Identifiers

PMID40351769
PMCPMC12063348

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.