Evidence map›Paper›PMID 41751006›Full record

ArticleAnimals : an open access journal from MDPI2026

Swine Influenza Virus Introduction in Pig Farms: A Semi-Quantitative Risk Assessment in Northern Italy.

Alessia Rusinà, Alessandro Bellato, Annalisa Scollo, Alessandro Mannelli, Laura Tomassone

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alessia RusinàDepartment of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.ORCID 0009-0006-0662-7383
Alessandro BellatoDepartment of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-4583-3861
Annalisa ScolloDepartment of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-9718-0647
Alessandro MannelliDepartment of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0003-1623-8761
Laura TomassoneDepartment of Veterinary Sciences, University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0003-2201-8802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swine influenza is a viral zoonotic respiratory disease of pigs threatening both animal and human health due to its pandemic potential. We conducted a semi-quantitative risk assessment to classify 22 commercial pig farms in northern Italy in terms of the likelihood of introduction of influenza, evaluating their biosecurity systems and geographical locations. We used a modified Failure Mode and Effect Analysis (FMEA) to calculate Risk Priority Codes (RPCs), indicating increasing risk levels (from 1 to 5) for six biosecurity criteria: (A) personnel, (B) animal management, (C) shelter management, (D) animal transport, (E) materials management, and (F) buildings and access control. Then, an overall risk index, including the geographical risk, was calculated to obtain the final risk ranking of the farms. All farms obtained the highest risk level (RPC = 5) for criterion F (buildings and access control), mostly due to poor control of visitor access. Fifteen farms scored a medium risk level (RPCs = 3) for criterion related to personnel due to some weaknesses in the use of personal protective equipment, although 90% of personnel had recent biosecurity training. In an endemic context, risk assessment helps identify high-risk farms, supporting surveillance for early detection of new influenza strains.

Indexed as

biosecurityrisk assessmentswine influenza

Identifiers

PMID41751006
PMCPMC12937228

What OpenQuestion holds

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Registered trials

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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.