Evidence map›Paper›PMID 28125610›Full record

ArticlePLoS computational biology2017

The Potential Role of Direct and Indirect Contacts on Infection Spread in Dairy Farm Networks.

Gianluigi Rossi, Giulio A De Leo, Stefano Pongolini, Silvano Natalini, Luca Zarenghi, Matteo Ricchi, Luca Bolzoni

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 63 citations in OpenAlex.

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  19. Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  20. Contact chains of cattle farms in Great Britain.Royal Society open science · 2019
    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 3 institutions in 2 countries.

Gianluigi RossiDipartimento di Bioscienze, Università degli studi di Parma, Parco Area delle Scienze, Parma, Italy.ORCID 0000-0002-6540-8467
Giulio A De LeoDipartimento di Bioscienze, Università degli studi di Parma, Parco Area delle Scienze, Parma, Italy.ORCID 0000-0002-4186-3369
Stefano PongoliniRisk Analysis Unit, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Via dei Mercati, Parma, Italy.ORCID 0000-0002-4823-3562
Silvano NataliniServizio Veterinario e Igiene Alimenti, Assessorato Politiche per la Salute Regione Emilia-Romagna, Viale Aldo Moro, Bologna, Italy.
Luca ZarenghiServizio Igiene degli Allevamenti e Produzioni Zootecniche, AUSL di Parma, Via Vasari, Parma, Italy.
Matteo RicchiNational Reference Centre for Paratuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Strada Faggiola 1, loc. Gariga-Podenzano (PC), Italy.
Luca BolzoniRisk Analysis Unit, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Via dei Mercati, Parma, Italy.
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" · ITUniversity of Parma · ITAgenzia Sanitaria e Sociale Regionale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals' exchanges are considered the most effective route of between-farm infectious disease transmission. However, despite being often overlooked, the infection spread due to contaminated equipment, vehicles, or personnel proved to be important for several livestock epidemics. This study investigated the role of indirect contacts in a potential infection spread in the dairy farm network of the Province of Parma (Northern Italy). We built between-farm contact networks using data on cattle exchange (direct contacts), and on-farm visits by veterinarians (indirect contacts). We compared the features of the contact structures by using measures on static and temporal networks. We assessed the disease spreading potential of the direct and indirect network structures in the farm system by using data on the infection state of farms by paratuberculosis. Direct and indirect networks showed non-trivial differences with respect to connectivity, contact distribution, and super-spreaders identification. Furthermore, our analyses on paratuberculosis data suggested that the contributions of direct and indirect contacts on diseases spread are apparent at different spatial scales. Our results highlighted the potential role of indirect contacts in between-farm disease spread and underlined the need for a deeper understanding of these contacts to develop better strategies for prevention of livestock epidemics.

Indexed as

AgricultureAnimalsCattleCattle DiseasesCommunicable DiseasesComputer SimulationContact TracingDairyingDisease OutbreaksFemaleIncidenceItalyMaleModels, StatisticalRisk Factors

Identifiers

PMID28125610
PMCPMC5268397
OpenAlexW2581266606

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.