Evidence map›Paper›PMID 26961903›Full record

ArticleEnvironmental health : a global access science source2016

Climate change projections of West Nile virus infections in Europe: implications for blood safety practices.

Jan C Semenza, Annelise Tran, Laura Espinosa, Bertrand Sudre, Dragoslav Domanovic, Shlomit Paz

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
7.6field-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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  7. Paradigm Shift Toward "One Health" Monitoring ofOpen forum infectious diseases · 2025
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  10. West Nile virus unmasked: from gene variability to future challenges.Frontiers in cellular and infection microbiology · 2025
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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

6 authors at 3 institutions in 3 countries.

Jan C SemenzaEuropean Centre for Disease Prevention and Control, Stockholm,, SE-171 83, Sweden. Jan.Semenza@ecdc.europa.eu.
Annelise TranCIRAD, UPR Animal et Gestion Intégrée des Risques, Montpellier,, F-34093, France. annelise.tran@cirad.fr.
Laura EspinosaEuropean Centre for Disease Prevention and Control, Stockholm,, SE-171 83, Sweden. Laura.Espinosa@ecdc.europa.eu.
Bertrand SudreEuropean Centre for Disease Prevention and Control, Stockholm,, SE-171 83, Sweden. Bertrand.Sudre@ecdc.europa.eu.
Dragoslav DomanovicEuropean Centre for Disease Prevention and Control, Stockholm,, SE-171 83, Sweden. Dragoslav.Domanovic@ecdc.europa.eu.
Shlomit PazDepartment of Geography and Environmental Studies, University of Haifa, Mt. Carmel, Haifa,, 31905, Israel. shlomit@geo.haifa.ac.il.
European Centre for Disease Prevention and Control · SECentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWest Nile virus (WNV) is transmitted by mosquitoes in both urban as well as in rural environments and can be pathogenic in birds, horses and humans. Extrinsic factors such as temperature and land use are determinants of WNV outbreaks in Europe, along with intrinsic factors of the vector and virus.

methodsWith a multivariate model for WNV transmission we computed the probability of WNV infection in 2014, with July 2014 temperature anomalies. We applied the July temperature anomalies under the balanced A1B climate change scenario (mix of all energy sources, fossil and non-fossil) for 2025 and 2050 to model and project the risk of WNV infection in the future. Since asymptomatic infections are common in humans (which can result in the contamination of the donated blood) we estimated the predictive prevalence of WNV infections in the blood donor population.

resultsExternal validation of the probability model with 2014 cases indicated good prediction, based on an Area Under Curve (AUC) of 0.871 (SD = 0.032), on the Receiver Operating Characteristic Curve (ROC). The climate change projections for 2025 reveal a higher probability of WNV infection particularly at the edges of the current transmission areas (for example in Eastern Croatia, Northeastern and Northwestern Turkey) and an even further expansion in 2050. The prevalence of infection in (blood donor) populations in the outbreak-affected districts is expected to expand in the future.

conclusionsPredictive modelling of environmental and climatic drivers of WNV can be a valuable tool for public health practice. It can help delineate districts at risk for future transmission. These areas can be subjected to integrated disease and vector surveillance, outreach to the public and health care providers, implementation of personal protective measures, screening of blood donors, and vector abatement activities.

Indexed as

Blood DonorsBlood SafetyBlood TransfusionClimate ChangeModels, TheoreticalEpidemiological MonitoringEuropeHumansPrevalenceWest Nile FeverWest Nile virus

Identifiers

PMID26961903
PMCPMC4895699
OpenAlexW2296598059

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.