Evidence map›Paper›PMID 36532335›Full record

ArticleFrontiers in veterinary science2022

Enhancing passive surveillance for African swine fever detection on U.S. swine farms.

Rachel Schambow, Yoder Colin, Wright Dave, Daniella N Schettino, Andres M Perez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Pig Health Assessment Framework Based on Behavioural Analysis.Animals : an open access journal from MDPI · 2025
    Article
  2. African Swine Fever: A One Health Perspective and Global Challenges.Animals : an open access journal from MDPI · 2025
    Review
  3. "With every big outbreak, we lose staff": The mental health impacts of depopulation on veterinarians.The Canadian veterinary journal = La revue veterinaire canadienne · 2025
    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

5 authors at 1 institution in 1 country.

Rachel SchambowCenter for Animal Health and Food Safety, University of Minnesota, Saint Paul, MN, United States.
Yoder ColinCenter for Animal Health and Food Safety, University of Minnesota, Saint Paul, MN, United States.
Wright DavePrivate Veterinarian, Buffalo, MN, United States.
Daniella N SchettinoCenter for Animal Health and Food Safety, University of Minnesota, Saint Paul, MN, United States.
Andres M PerezCenter for Animal Health and Food Safety, University of Minnesota, Saint Paul, MN, United States.
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the threat of African swine fever (ASF) introduction into new areas continues, animal health officials and epidemiologists need novel tools for early detection and surveillance. Passive surveillance from swine producers and veterinarians is critical to identify cases, especially the first introduction. Enhanced passive surveillance (EPS) protocols are needed that maximize temporal sensitivity for early ASF detection yet are easily implemented. Regularly collected production and disease data on swine farms may pose an opportunity for developing EPS protocols. To better understand the types of data regularly collected on swine farms and on-farm disease surveillance, a questionnaire was distributed in summer 2022 across multiple channels to MN swine producers. Thirty responses were received that indicated the majority of farms collect various types of disease information and conduct routine diagnostic testing for endemic swine diseases. Following this, a focus group discussion was held at the 2022 Leman Swine Conference where private and public stakeholders discussed the potential value of EPS, opportunities for collaboration, and challenges. The reported value of EPS varied by stakeholder group, but generally participants felt that for swine producers and packers, EPS would help identify abnormal disease occurrences. Many opportunities were identified for collaboration with ongoing industry initiatives and swine management software. Challenges included maintaining motivation for participation in ASF-free areas, labor, data sharing issues, and the cost of diagnostic testing. These highlight important issues to address, and future collaborations can help in the development of practical, fit-for-purpose, and valuable EPS protocols for ASF detection in the swine industry.

Indexed as

African swine feverdisease surveillanceenhanced passive surveillanceforeign animal diseaseparticipatorypig

Identifiers

PMID36532335
PMCPMC9755322
OpenAlexW4311092933

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.