Evidence map›Paper›PMID 24806216›Full record

ArticlePloS one2014

Use of wild bird surveillance, human case data and GIS spatial analysis for predicting spatial distributions of West Nile virus in Greece.

George Valiakos, Konstantinos Papaspyropoulos, Alexios Giannakopoulos, Periklis Birtsas, Sotirios Tsiodras, Michael R Hutchings, Vassiliki Spyrou, Danai Pervanidou, Labrini V Athanasiou, Nikolaos Papadopoulos and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Article
  8. West Nile virus in humans, Greece, 2018: the largest seasonal number of cases, 9 years after its emergence in the country.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
  9. Article
  10. Article
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  12. Review
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  14. Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2016
    Article
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  16. Article
  17. Review
  18. 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

20 authors at 9 institutions in 3 countries.

George ValiakosFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece; Department of Biomedicine, Institute for Research and Technology of Thessaly, Centre For Research and Technology Hellas, Larissa, Greece.
Konstantinos PapaspyropoulosFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece; Research Division, Hunting Federation of Macedonia and Thrace, Thessaloniki, Greece.
Alexios GiannakopoulosFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece.
Periklis BirtsasTechnological Education Institute of Thessaly, Larissa, Greece.
Sotirios TsiodrasHellenic Center for Disease Control and Prevention (HCDCP) Ministry of Health, Athens, Greece; National and Kapodistrian University of Athens, Faculty of Medicine, Athens, Greece.
Michael R HutchingsDisease Systems, SRUC, Edinburgh, United Kingdom.
Vassiliki SpyrouTechnological Education Institute of Thessaly, Larissa, Greece.
Danai PervanidouHellenic Center for Disease Control and Prevention (HCDCP) Ministry of Health, Athens, Greece.
Labrini V AthanasiouFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece.
Nikolaos PapadopoulosDepartment of Agriculture Crop Production and Rural Environment, University of Thessaly, Volos, Greece.
Constantina TsokanaFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece.
Agoritsa BakaHellenic Center for Disease Control and Prevention (HCDCP) Ministry of Health, Athens, Greece.
Katerina ManolakouFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece.
Dimitrios ChatzopoulosFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece.
Marc ArtoisUniversity of Lyon, VetAgro Sup, France.
Lisa YonSchool of Veterinary Medicine & Science, University of Nottingham, Nottingham, United Kingdom.
Duncan HannantSchool of Veterinary Medicine & Science, University of Nottingham, Nottingham, United Kingdom.
Liljana PetrovskaAnimal Health and Veterinary Laboratories Agency - Weybridge, United Kingdom.
Christos HadjichristodoulouFaculty of Medicine, University of Thessaly, Larissa, Greece.
Charalambos BillinisFaculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece; Department of Biomedicine, Institute for Research and Technology of Thessaly, Centre For Research and Technology Hellas, Larissa, Greece.
University of Thessaly · GRHellenic Center for Disease Control & Prevention · GRTechnological Educational Institute of Thessaly · GRUniversity of Nottingham · GBAnimal and Plant Health Agency · GBCenter for Research and Technology Thessaly · GRMinistry of Health · GRScotland's Rural College · GBVetAgro Sup · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile Virus (WNV) is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS). Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density). Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723-1,386). Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace) western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841-6,189) and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence.

Indexed as

AnimalsAnimals, WildBirdsChickensCulicidaeFemaleGeographic Information SystemsGreeceHumansPopulation DensityWest Nile FeverWest Nile virus

Identifiers

PMID24806216
PMCPMC4013071
OpenAlexW2023492831

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.