Evidence map›Paper›PMID 28880958›Full record

ArticlePloS one2017

Think globally, act locally: Phylodynamic reconstruction of infectious bronchitis virus (IBV) QX genotype (GI-19 lineage) reveals different population dynamics and spreading patterns when evaluated on different epidemiological scales.

Giovanni Franzo, Paola Massi, Claudia Maria Tucciarone, Ilaria Barbieri, Giovanni Tosi, Laura Fiorentini, Massimo Ciccozzi, Antonio Lavazza, Mattia Cecchinato, Ana Moreno

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 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

10 authors.

Giovanni FranzoDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, Legnaro, Padua, Italy.
Paola MassiSezione di Forlì, Istituto sperimentale della Lombardia e Emilia Romagna, Forlì, Forlì Cesena, Italy.
Claudia Maria TucciaroneDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, Legnaro, Padua, Italy.
Ilaria BarbieriDepartment of Virology, Istituto sperimentale della Lombardia e Emilia Romagna, Brescia, Italy.
Giovanni TosiSezione di Forlì, Istituto sperimentale della Lombardia e Emilia Romagna, Forlì, Forlì Cesena, Italy.
Laura FiorentiniSezione di Forlì, Istituto sperimentale della Lombardia e Emilia Romagna, Forlì, Forlì Cesena, Italy.
Massimo CiccozziDepartment of infectious, parasitic and immune-mediated diseases, Istituto Superiore di Sanità, Roma, Italy.
Antonio LavazzaDepartment of Virology, Istituto sperimentale della Lombardia e Emilia Romagna, Brescia, Italy.
Mattia CecchinatoDepartment of Animal Medicine, Production and Health (MAPS), University of Padua, Legnaro, Padua, Italy.
Ana MorenoDepartment of Virology, Istituto sperimentale della Lombardia e Emilia Romagna, Brescia, Italy.ORCID http://orcid.org/0000-0002-8497-9708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious bronchitis virus (IBV) represents one of the poultry industry major threats, particularly in high density producing countries. The emergence and spread of new IBV genotypes have frustrated the various disease control efforts implemented over time. Despite that, few comprehensive and large scale studies have been performed to understand the international and local spreading dynamics of this virus. In the present work, these phenomena were evaluated by implementing a Bayesian phylodynamic approach to reconstruct the epidemiological patterns and population history of the QX genotype (currently renamed GI-19 lineage), the most relevant IBV lineage of the Old-World. Our analysis, based on 807 partial S1 sequences of strains collected from 18 countries between 1993 and 2015, demonstrates that this genotype originated in China well before its first identification. After a prolonged local circulation, it started spreading to other European, Asian and Middle East countries in successive waves, which were mirrored by concomitant fluctuations in viral population size. Interestingly, the within-Europe spread was characterized by a higher estimated migration rate compared with the inter-continental one, potentially reflecting the closer geographic and economic relationships among these countries. Nevertheless, the colonization of new states by the GI-19 lineage appeared to occur mostly by single introduction events in both intra and inter-continental spread, likely because of epidemiological factor and health policy combination which seems to prevent the frequent introduction and mixing of different strains. On the other hand, the within Italy QX circulation reconstruction showed a much more intricate connection network among different locations, evidencing the difficulty in controlling IBV spread especially in highly densely poultry populated areas. The presence of several well supported epidemiological links among distantly related Italian regions testifies that animal transportation and indirect transmission routes rather than local airborne diffusion contribute to the QX success and persistence at local scale. Globally, the spreading dynamics and evolution of the QX genotype were reconstructed from its very origin to nowadays, demonstrating the need of more effective direct control measures, particularly within each country. Unfortunately, the incompleteness of available molecular epidemiology data represents an insurmountable limit which leaves many questions currently unsolved, thus highlighting the compulsoriness of a structured monitoring and data sharing system implementation.

Indexed as

Coronavirus InfectionsDatabases, FactualGenotypeInfectious bronchitis virusPopulation Dynamics

Identifiers

PMID28880958
PMCPMC5589226

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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.