Evidence map›Paper›PMID 40303150›Full record

ArticleTransboundary and emerging diseases2024

Simulation of Premovement Active Surveillance Protocols for Moving Finishing Pigs to a Harvest Facility from a Control Area during an Outbreak of African Swine Fever in the United States.

Peter J Bonney, Sasidhar Malladi, Amos Ssematimba, Kathleen C O'Hara, Marta D Remmenga, Michelle Farr, Mickey Leonard, Catherine Y Alexander, Benjamin Blair, Sylvia Wanzala Martin and 2 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Peter J BonneySecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0002-9196-1493
Sasidhar MalladiSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0003-1555-4965
Amos SsematimbaSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0002-5407-2478
Kathleen C O'HaraUS Department of Agriculture Animal and Plant Health Inspection Service Veterinary Services Strategy and Policy Center for Epidemiology and Animal Health, Fort Collins, CO, USA.ORCID https://orcid.org/0000-0001-9697-3939
Marta D RemmengaUS Department of Agriculture Animal and Plant Health Inspection Service Veterinary Services Strategy and Policy Center for Epidemiology and Animal Health, Fort Collins, CO, USA.
Michelle FarrUS Department of Agriculture Animal and Plant Health Inspection Service Veterinary Services Strategy and Policy Center for Epidemiology and Animal Health, Fort Collins, CO, USA.
Mickey LeonardSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.
Catherine Y AlexanderSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0001-6512-8038
Benjamin BlairSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.
Sylvia Wanzala MartinSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.
Marie R CulhaneSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0002-3547-7576
Cesar A CorzoSecure Food Systems Team University of Minnesota, St. Paul, MN 55108, USA.ORCID https://orcid.org/0000-0002-2749-3496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement restrictions are a critical component of response plans for an African swine fever (ASF) outbreak in the United States. These restrictions are likely to include requiring permits to move animals and products within, into, and out of 5-km control areas (CAs) established around confirmed positive farms. For quarantined finishing farms located within a CA, diagnostic testing is an expected criterion for receival of a permit to move pigs to a harvest facility or removal of quarantine. A stochastic disease transmission and active surveillance model were used to evaluate premovement active surveillance protocols varying by the number of samples and timing of sample collection before movement. Surveillance protocol scenarios were evaluated for several different sampling prioritization schemes; virus strains of medium or high virulence; barn sizes of 1,200, 2,400, and 4,800 pigs; and farms with average to high mortality and morbidity during routine production. Surveillance protocols that included prioritization schemes targeting dead pigs and pigs with clinical signs resulted in the highest probabilities of detection and the lowest numbers of infectious pigs at the time of movement in barns that went undetected. There was some evidence that targeting sick pigs prior to dead pigs may be more effective for moderately virulent strains. However, in most scenarios, including all highly virulent strain scenarios and moderately virulent strain scenarios in barn sizes of 1,200 with average farm performance, prioritization of dead versus sick pigs first did not have a large impact on the predicted outcomes. Increasing sample sizes improved outcomes, though only marginal gains were achieved once the available dead and sick were sampled. Predicted outcomes may be further improved by sampling the available dead and sick pigs in a barn across multiple days, though the associated increase in the probability of detection was minor.

Indexed as

African Swine FeverDisease OutbreaksAnimal HusbandryAnimalsComputer SimulationQuarantineSwineTransportationUnited States

Identifiers

PMID40303150
PMCPMC12017237

What OpenQuestion holds

Textmetadata
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.