Evidence map›Paper›PMID 34960778›Full record

ArticleViruses2021

Porcine Reproductive and Respiratory Syndrome (PRRS) Epidemiology in an Integrated Pig Company of Northern Italy: A Multilevel Threat Requiring Multilevel Interventions.

Giovanni Franzo, Giacomo Barbierato, Patrizia Pesente, Matteo Legnardi, Claudia Maria Tucciarone, Giampietro Sandri, Michele Drigo

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. PRRS Monitoring by Processing Fluids on Italian Swine Breeding Farms.Animals : an open access journal from MDPI · 2023
    Article
  6. When Everything Becomes Bigger: Big Data for Big Poultry Production.Animals : an open access journal from MDPI · 2023
    Review
  7. Editorial: High-impact respiratory RNA virus diseases.Frontiers in veterinary science · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 1 institution in 1 country.

Giovanni FranzoDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, 35020 Padova, Italy.ORCID 0000-0003-2991-217X
Giacomo BarbieratoDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, 35020 Padova, Italy.ORCID 0000-0001-9956-4196
Patrizia PesenteLaboratorio Tre Valli, 37132 Verona, Italy.
Matteo LegnardiDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, 35020 Padova, Italy.
Claudia Maria TucciaroneDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, 35020 Padova, Italy.ORCID 0000-0002-0340-8920
Giampietro SandriLaboratorio Tre Valli, 37132 Verona, Italy.
Michele DrigoDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, 35020 Padova, Italy.ORCID 0000-0002-7267-9388
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome (PRRS) is probably the most relevant viral disease affecting pig farming. Despite the remarkable efforts paid in terms of vaccination administration and biosecurity, eradication and long-term control have often been frustrated. Unfortunately, few studies are currently available that objectively link, using a formal statistical approach, viral molecular epidemiology to the risk factors determining the observed scenario. The purpose of the present study is to contribute to filling this knowledge gap taking advantage of the advancements in the field of phylodynamics. Approximately one-thousand ORF7 sequences were obtained from strains collected between 2004 and 2021 from the largest Italian pig company, which implements strict compartmentalization among independent three-sites (i.e., sow herds, nurseries and finishing units) pig flows. The history and dynamics of the viral population and its evolution over time were reconstructed and linked to managerial choices. The viral fluxes within and among independent pig flows were evaluated, and the contribution of other integrated pig companies and rurally risen pigs in mediating such spreading was investigated. Moreover, viral circulation in Northern Italy was reconstructed using a continuous phylogeographic approach, and the impact of several environmental features on PRRSV strain persistence and spreading velocity was assessed. The results demonstrate that PRRSV epidemiology is shaped by a multitude of factors, including pig herd management (e.g., immunization strategy), implementation of strict-independent pig flows, and environmental features (e.g., climate, altitude, pig density, road density, etc.) among the others. Small farms and rurally raised animals also emerged as a potential threat for larger, integrated companies. These pieces of evidence suggest that none of the implemented measures can be considered effective alone, and a multidimensional approach, ranging from individual herd management to collaboration and information sharing among different companies, is mandatory for effective infection control.

Indexed as

AnimalsItalyOpen Reading FramesPhylogeographyPorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSwineSwine DiseasesevolutionItalymolecular epidemiologyORF7phylodynamicsphylogeographypig flowsporcine reproductive and respiratory syndrome

Identifiers

PMID34960778
PMCPMC8705972
OpenAlexW4200275715

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.