Evidence map›Paper›PMID 31788978›Full record

ArticleTransboundary and emerging diseases2021

Spatiotemporal reconstruction and transmission dynamics during the 2016-17 H5N8 highly pathogenic avian influenza epidemic in Italy.

William T Harvey, Paolo Mulatti, Alice Fusaro, Francesca Scolamacchia, Bianca Zecchin, Isabella Monne, Stefano Marangon

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

William T HarveyBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID https://orcid.org/0000-0001-9529-1127
Paolo MulattiIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.ORCID https://orcid.org/0000-0001-8188-997X
Alice FusaroIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.ORCID https://orcid.org/0000-0002-8213-5472
Francesca ScolamacchiaIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.ORCID https://orcid.org/0000-0003-2509-937X
Bianca ZecchinIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.ORCID https://orcid.org/0000-0001-9566-6531
Isabella MonneIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.
Stefano MarangonIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro (Padua), Italy.

Funding

Medical Research Council MR/R024758/1
6 · The paper itself

Abstract

Effective control of avian diseases in domestic populations requires understanding of the transmission dynamics facilitating viral emergence and spread. In 2016-17, Italy experienced a significant avian influenza epidemic caused by a highly pathogenic A(H5N8) virus, which affected domestic premises housing around 2.7 million birds, primarily in the north-eastern regions with the highest density of poultry farms (Lombardy, Emilia-Romagna and Veneto). We perform integrated analyses of genetic, spatiotemporal and host data within a Bayesian phylogenetic framework. Using continuous and discrete phylogeography, we estimate the locations of movements responsible for the spread and persistence of the epidemic. The information derived from these analyses on rates of transmission between regions through time can be used to assess the success of control measures. Using an approach based on phylogenetic-temporal distances between domestic cases, we infer the presence of cryptic wild bird-mediated transmission, information that can be used to complement existing epidemiological methods for distinguishing transmission within the domestic population from incursions across the wildlife-domestic interface, a common challenge in veterinary epidemiology. Spatiotemporal reconstruction of the epidemic reveals a highly skewed distribution of virus movements with a high proportion of shorter distance local movements interspersed with occasional long-distance dispersal events associated with wild birds. We also show how such inference be used to identify possible instances of human-mediated movements where distances between phylogenetically linked domestic cases are unusually high.

Indexed as

ChickensDucksTurkeysAnimalsBayes TheoremEpidemicsInfluenza A Virus, H5N8 SubtypeInfluenza in BirdsItalyPhylogenyPoultry DiseasesSpatio-Temporal Analysisavian influenzaH5N8 subtypeinfectious disease outbreaksinfectious disease reservoirsphylogenyphylogeography

Identifiers

PMID31788978
PMCPMC8048528

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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.