Evidence map›Paper›PMID 36295038›Full record

ArticleLife (Basel, Switzerland)2022

The Importance of Livestock Demography and Infrastructure in Driving Foot and Mouth Disease Dynamics.

Kendra Gilbertson, Peter Brommesson, Amanda Minter, Clayton Hallman, Ryan S Miller, Katie Portacci, Stefan Sellman, Michael J Tildesley, Colleen T Webb, Tom Lindström and 1 more

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

11 authors at 4 institutions in 3 countries.

Kendra GilbertsonDepartment of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.
Peter BrommessonDepartment of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, 581 83 Linköping, Sweden.
Amanda MinterZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), School of Life Sciences and Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK.
Clayton HallmanUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Ryan S MillerUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.ORCID 0000-0003-3892-0251
Katie PortacciUSDA APHIS Veterinary Services, Center for Epidemiology and Animal Health, Fort Collins, CO 80526, USA.
Stefan SellmanDepartment of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, 581 83 Linköping, Sweden.
Michael J TildesleyZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), School of Life Sciences and Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK.
Colleen T WebbDepartment of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.
Tom LindströmDepartment of Physics, Chemistry and Biology, Division of Theoretical Biology, Linköping University, 581 83 Linköping, Sweden.
Lindsay M Beck-JohnsonDepartment of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.
Animal and Plant Health Inspection Service · USColorado State University · USLinköping University · SEUniversity of Warwick · GB

Funding

United States Department of Homeland Security D15PC00278United States Department of Homeland Security HSHQDC-13-B0028
6 · The paper itself

Abstract

Transboundary animal diseases, such as foot and mouth disease (FMD) pose a significant and ongoing threat to global food security. Such diseases can produce large, spatially complex outbreaks. Mathematical models are often used to understand the spatio-temporal dynamics and create response plans for possible disease introductions. Model assumptions regarding transmission behavior of premises and movement patterns of livestock directly impact our understanding of the ecological drivers of outbreaks and how to best control them. Here, we investigate the impact that these assumptions have on model predictions of FMD outbreaks in the U.S. using models of livestock shipment networks and disease spread. We explore the impact of changing assumptions about premises transmission behavior, both by including within-herd dynamics, and by accounting for premises type and increasing the accuracy of shipment predictions. We find that the impact these assumptions have on outbreak predictions is less than the impact of the underlying livestock demography, but that they are important for investigating some response objectives, such as the impact on trade. These results suggest that demography is a key ecological driver of outbreaks and is critical for making robust predictions but that understanding management objectives is also important when making choices about model assumptions.

Indexed as

cattle shipment networksfoot and mouth diseaselivestock demographymodel assumptionsoutbreak simulation

Identifiers

PMID36295038
PMCPMC9605081
OpenAlexW4306391427

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.