Evidence map›Paper›PMID 38436010›Full record

ArticlePeerJ2024

Modeling target-density-based cull strategies to contain foot-and-mouth disease outbreaks.

Rachel L Seibel, Amanda J Meadows, Christopher Mundt, Michael Tildesley

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 8% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  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

4 authors at 2 institutions in 2 countries.

Rachel L Seibel *Mathematics Institute, University of Warwick, Coventry, West Midlands, United Kingdom.ORCID 0000-0002-1125-7210
Amanda J Meadows *Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States.
Christopher MundtDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States.
Michael TildesleyMathematics Institute, University of Warwick, Coventry, West Midlands, United Kingdom.
Oregon State University · USUniversity of Warwick · GB

Funding

USDA National Institute of Food and Agriculture 2015-67013-23818USDA National Institute of Food and Agriculture 2022-67015-38059
6 · The paper itself

Abstract

Total ring depopulation is sometimes used as a management strategy for emerging infectious diseases in livestock, which raises ethical concerns regarding the potential slaughter of large numbers of healthy animals. We evaluated a farm-density-based ring culling strategy to control foot-and-mouth disease (FMD) in the United Kingdom (UK), which may allow for some farms within rings around infected premises (IPs) to escape depopulation. We simulated this reduced farm density, or "target density", strategy using a spatially-explicit, stochastic, state-transition algorithm. We modeled FMD spread in four counties in the UK that have different farm demographics, using 740,000 simulations in a full-factorial analysis of epidemic impact measures (

Indexed as

Communicable Diseases, EmergingEpidemicsFoot-and-Mouth DiseaseAlgorithmsAnimalsCattleDisease OutbreaksDisease modelingEmerging infectious diseasesFarm demographyFoot-and-mouth diseaseHost densityLivestock diseaseRing culling

Identifiers

PMID38436010
PMCPMC10909358
OpenAlexW4392293379

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.