MétaCan
Menu
Back to cohort

Gauging public sentiments toward foot-and-mouth disease outbreak control: A scoping review 2003–2022

2024· review· en· W4412627438 on OpenAlexaboutno aff
Cheryl Travers, Nicole Schembri, Chris Degeling

Bibliographic record

VenueCABI One Health · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakFoot-and-mouth diseaseDisease controlDiseaseMedicineEnvironmental healthVirologyPathology

Abstract

fetched live from OpenAlex

Abstract Foot-and-mouth disease (FMD) is a highly transmissible viral infection of cloven-hoofed animals. As part of a larger programme of research directed towards preparing Australia for an FMD incursion, this scoping literature review aimed to identify and understand public discourses surrounding the FMD control measures of culling, disposal and vaccination in similar jurisdictions. We systematically searched five key databases for studies published in academic journals from January 1st, 2003 to December 31st, 2022 examining public sentiment towards FMD control measures in the United States, Canada, the United Kingdom (UK) and Australia. Our review was reliant on the UK 2001 FMD outbreak as most papers related to this outbreak where culling and not vaccination was used as the main control, and papers from other countries made comparisons to this outbreak. There were no relevant papers found for Canada. A principal finding for the other three settings was that limited culling of FMD infected animals, based on a risk assessment by a veterinarian, was broadly considered an acceptable intervention. Public controversy arises when determining the size and scope of, and rationale for culling, and when control measures are mismanaged by the authorities. Extensive culling and disposal activities shown to alter the rhythm and cycle of interactions between farmers and their livestock, cause animal suffering and harm people’s sense of place and identity. Conversely, published studies of public and stakeholder sentiments are positive towards the use of FMD vaccination to prevent or control outbreaks. Our analysis revealed four key themes examining the relationship between the authorities and individuals and FMD impacted communities: conflicting risk perceptions; a knowledge divide between ‘expert’ (epidemiological) knowledge and local knowledge; poor communication by the authorities; and the erosion of public trust. Also evident in published studies examining FMD-related public discourses are concepts of fairness for animals, the importance of responsibility sharing and community concern for animal welfare and environmental health. These findings suggest that public support for culling cannot be assumed. To this end, FMD control policies should be socially responsible and justifiable, accounting for shared human and nonhuman interests, both epidemiologically and ethically. One Health impact statement Effective control policies and communication by government authorities during a foot-and-mouth disease (FMD) outbreak require an understanding of public discourses surrounding FMD control measures of culling, disposal and vaccination. This scoping review examines public discourse on FMD across four nations, chosen for their similar industry practices, emergency animal disease (EAD) control measures and veterinary public health systems. Scholars from different academic disciplines show that when culling becomes extensive, there are serious social and human health consequences, unnecessary animal suffering and death, and breaches in the human-livestock relationship. Environmental harms occur when authorities ignore local expertise on farming and veterinary practices, environmental conditions and livestock behaviour. From a One Health perspective, understanding people’s attitudes towards the approaches used to manage an FMD outbreak can support informed and targeted EAD responses by promoting local practices and environments that prioritise ways to sustain interspecies communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0210.021
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.185
GPT teacher head0.389
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCABI One HealthSame topicAnimal Disease Management and EpidemiologyFrench-language works237,207