Evidence map›Paper›PMID 30228340›Full record

ArticleScientific reports2018

West Nile virus transmission and human infection risk in Veneto (Italy): a modelling analysis.

Giovanni Marini, Roberto Rosà, Andrea Pugliese, Annapaola Rizzoli, Caterina Rizzo, Francesca Russo, Fabrizio Montarsi, Gioia Capelli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 1 country.

Giovanni MariniDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige (Trento), Italy. giovanni.marini@fmach.it.ORCID 0000-0001-9721-7211
Roberto RosàDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige (Trento), Italy.
Andrea PuglieseDepartment of Mathematics, University of Trento, Trento, Italy.
Annapaola RizzoliDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige (Trento), Italy.
Caterina RizzoIstituto Superiore di Sanità, Roma, Italy.
Francesca RussoRegione Veneto, Venezia, Italy.
Fabrizio MontarsiLaboratory of Parasitology, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy.
Gioia CapelliLaboratory of Parasitology, Istituto Zooprofilattico Sperimentale delle Venezie, Padova, Italy.
Fondazione Edmund Mach · ITIstituto Zooprofilattico Sperimentale delle Venezie · ITIstituto Superiore di Sanità · ITRegione del Veneto · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An intensified and continuous West Nile virus (WNV) spread across northern Italy has been observed since 2008, which caused more than one hundred reported human infections until 2016. Veneto is one of the Italian regions where WNV is considered endemic, and the greatest intensity of circulation was observed during 2013 and 2016. By using entomological data collected across the region in those years, we calibrated a temperature-driven mathematical model through a Bayesian approach that simulates the WNV infection in an avian population with seasonal demography. We considered two alternative routes of life cycle re-activation of the virus at the beginning of each vector breeding season: in the first one the virus is maintained by infected birds, in the other by diapausing mosquitoes previously infected. Afterwards, we computed seasonal risk curves for human infection and quantified how they translate into reported symptomatic cases. According to our results, WNV is more likely to be re-activated each year via previously infected mosquitoes. The highest probability of human infection is expected to occur in August, consistently with observations. Our epidemiological estimates can be of particular interest for public health authorities, to support decisions in term of designing efficient surveillance plans and preventive measures.

Indexed as

Models, TheoreticalMosquito VectorsAnimalsBayes TheoremCulicidaeDisease OutbreaksIncidenceItalyPopulation SurveillanceSeasonsWest Nile FeverWest Nile virus

Identifiers

PMID30228340
PMCPMC6143586
OpenAlexW2890249457

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.