Evidence map›Paper›PMID 40727018›Full record

ArticleData in brief2025

United States cattle market location and annual market sales estimate data.

Samuel M Smith, Clayton Hallman, Tom Lindström, Stefan Sellman, Ryan S Miller, Katie Portacci, Colleen T Webb, Lindsay M Beck-Johnson

Abstract read
In one paragraph

Article in Data in brief, 2025. 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

8 authors.

Samuel M SmithDepartment of Biology, Colorado State University, Fort Collins, CO, USA.
Clayton HallmanUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA.
Tom LindströmDepartment of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, Linköping, Sweden.
Stefan SellmanDepartment of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, Linköping, Sweden.
Ryan S MillerUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA.
Katie PortacciUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO, USA.
Colleen T WebbDepartment of Biology, Colorado State University, Fort Collins, CO, USA.
Lindsay M Beck-JohnsonDepartment of Biology, Colorado State University, Fort Collins, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cattle markets, where livestock producers may buy and sell cattle and calves, act as major hubs in the shipment network that connect cattle populations across the United States (U.S.). Cattle markets can then provide insight into the integration of the U.S. cattle industry, thus informing how regional price fluctuations may influence cattle prices nationally. Despite biosecurity measures and regulatory compliance from livestock markets, commingling and re-distribution of animals from multiple sources may elevate the risk of disease spread and make tracing animal movements more complex, which could pose significant challenges if a transboundary animal disease (TAD) were introduced into the U.S. Therefore, knowing the size and location of cattle markets in the U.S. is critical to understanding cattle industry market dynamics and enhancing pandemic scenario modeling efforts. In this article, we present a list of cattle markets, their locations, and estimated quarterly cattle sales. We compiled a list of 1619 known cattle markets with and without market sales data from 1131 counties across the U.S. from 2012-2016. To estimate unknown market sales data, we fit a spatial autoregressive lag model to annual county-level market sales data and used the fit to predict annual sales in counties that lacked sales information. County-level sales data provide important insight into the structure of the U.S. cattle industry. The dataset can be used to improve national-scale cattle movement models, livestock disease models, and inform TAD surveillance efforts.

Indexed as

Animal scienceCattle shipment networksComputational biologyLivestock demographyLivestock disease modelingMarket salesMovement

Identifiers

PMID40727018
PMCPMC12301815

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.