Evidence map›Paper›PMID 40509117›Full record

ArticleAnimals : an open access journal from MDPI2025

Senecavirus A Incidence in U.S. Breeding Herds: A Decade of Surveillance Data.

Mariana Kikuti, Xiaomei Yue, Claudio Marcello Melini, Sarah Vadnais, Cesar A Corzo

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Mariana KikutiDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0000-0001-8119-7236
Xiaomei YueDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0000-0003-4198-2541
Claudio Marcello MeliniDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0009-0001-4640-9456
Sarah VadnaisDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0009-0005-8111-3000
Cesar A CorzoDepartment of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.ORCID 0000-0002-2749-3496

Funding

Swine Health Information Center #23-078 SHIC
6 · The paper itself

Abstract

Senecavirus A (SVA) is an endemic pathogen with ongoing relevance to the U.S. swine industry due to its clinical resemblance to foot-and-mouth disease (FMD) and its potential impact on animal health and trade. This study analyzes the incidence and geographic distribution of SVA outbreaks in U.S. breeding herds from January 2015 to December 2024. We used enhanced surveillance by combining diagnostic data from veterinary diagnostic laboratories and practitioners' reports to assess SVA incidence, identifying temporal fluctuations and regional patterns. Our findings indicate that the cumulative incidence of SVA in U.S. breeding herds is low overall (<2.5% per year), with peak incidence observed during the third and fourth quarters of the calendar year. Outbreaks are more frequently reported in the Midwest. Our results suggest potential seasonality or regional factors influencing disease transmission. The median time interval between SVA outbreaks for sites experiencing more than one outbreak is 402 days. This study provides valuable insights into the current epidemiology of SVA in U.S. breeding herds, and highlights the need for continued monitoring and preparedness to prevent future outbreaks.

Indexed as

disease surveillanceepidemiologyincidenceSenecavirus Aswine diseases

Identifiers

PMID40509117
PMCPMC12153828

What OpenQuestion holds

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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.