Evidence map›Paper›PMID 37363233›Full record

ArticleOne health (Amsterdam, Netherlands)2023

European projections of West Nile virus transmission under climate change scenarios.

Zia Farooq, Henrik Sjödin, Jan C Semenza, Yesim Tozan, Maquines Odhiambo Sewe, Jonas Wallin, Joacim Rocklöv

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
20.3field-weighted citation impact, top 1% 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

57 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Modelling the risk of West Nile virus infection in seven European countries from published serological and case notification data, 2008 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Pooled it
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  4. Rehabilitation approaches in West Nile Virus survivors: a systematic review.European journal of physical and rehabilitation medicine · 2024
    Pooled it
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  15. Human antibodies against West Nile and related orthoflaviviruses.bioRxiv : the preprint server for biology · 2026
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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 at 4 institutions in 3 countries.

Zia FarooqDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Henrik SjödinDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Jan C SemenzaDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Yesim TozanSchool of Global Public Health, New York University, New York, USA.
Maquines Odhiambo SeweDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Jonas WallinDepartment of statistics, Lund university, Sweden.
Joacim RocklövDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Sweden.
Umeå University · SEHeidelberg University · DENew York University · USStatistics Sweden · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile virus (WNV), a mosquito-borne zoonosis, has emerged as a disease of public health concern in Europe. Recent outbreaks have been attributed to suitable climatic conditions for its vectors favoring transmission. However, to date, projections of the risk for WNV expansion under climate change scenarios is lacking. Here, we estimate the WNV-outbreaks risk for a set of climate change and socioeconomic scenarios. We delineate the potential risk-areas and estimate the growth in the population at risk (PAR). We used supervised machine learning classifier, XGBoost, to estimate the WNV-outbreak risk using an ensemble climate model and multi-scenario approach. The model was trained by collating climatic, socioeconomic, and reported WNV-infections data (2010-22) and the out-of-sample results (1950-2009, 2023-99) were validated using a novel Confidence-Based Performance Estimation (CBPE) method. Projections of area specific outbreak risk trends, and corresponding population at risk were estimated and compared across scenarios. Our results show up to 5-fold increase in West Nile virus (WNV) risk for 2040-60 in Europe, depending on geographical region and climate scenario, compared to 2000-20. The proportion of disease-reported European land areas could increase from 15% to 23-30%, putting 161 to 244 million people at risk.  Across scenarios, Western Europe appears to be facing the largest increase in the outbreak risk of WNV. The increase in the risk is not linear but undergoes periods of sharp changes governed by climatic thresholds associated with ideal conditions for WNV vectors. The increased risk will require a targeted public health response to manage the expansion of WNV with climate change in Europe.

Indexed as

Artificial intelligenceClimate changeClimate impactsConfidence-based performance estimation (CBPE) methodEuropeWest Nile virusWNV risk projectionsXGBoostZoonoses

Identifiers

PMID37363233
PMCPMC10288058
OpenAlexW4321054331

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.