Evidence map›Paper›PMID 30314528›Full record

ArticleInternational journal of health geographics2018

Evaluating the risk for Usutu virus circulation in Europe: comparison of environmental niche models and epidemiological models.

Yanchao Cheng, Nils Benjamin Tjaden, Anja Jaeschke, Renke Lühken, Ute Ziegler, Stephanie Margarete Thomas, Carl Beierkuhnlein

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

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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 3 institutions in 1 country.

Yanchao ChengDepartment of Biogeography, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany. yanchao1.cheng@uni-bayreuth.de.ORCID 0000-0003-2649-876X
Nils Benjamin TjadenDepartment of Biogeography, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany.
Anja JaeschkeDepartment of Biogeography, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany.
Renke LühkenBernhard Nocht Institute for Tropical Medicine, World Health Organization Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany.
Ute ZieglerFriedrich-Loeffler-Institut, Institute of Novel and Emerging Infectious Diseases, Südufer 10, 17493, Greifswald - Insel Riems, Germany.
Stephanie Margarete ThomasDepartment of Biogeography, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany.
Carl BeierkuhnleinDepartment of Biogeography, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany.
University of Bayreuth · DEBernhard Nocht Institute for Tropical Medicine · DEFriedrich-Loeffler-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsutu virus (USUV) is a mosquito-borne flavivirus, reported in many countries of Africa and Europe, with an increasing spatial distribution and host range. Recent outbreaks leading to regional declines of European common blackbird (Turdus merula) populations and a rising number of human cases emphasize the need for increased awareness and spatial risk assessment.

methodsModelling approaches in ecology and epidemiology differ substantially in their algorithms, potentially resulting in diverging model outputs. Therefore, we implemented a parallel approach incorporating two commonly applied modelling techniques: (1) Maxent, a correlation-based environmental niche model and (2) a mechanistic epidemiological susceptible-exposed-infected-removed (SEIR) model. Across Europe, surveillance data of USUV-positive birds from 2003 to 2016 was acquired to train the environmental niche model and to serve as test cases for the SEIR model. The SEIR model is mainly driven by daily mean temperature and calculates the basic reproduction number R

resultsLarge areas across Europe are currently suitable for USUV transmission. Both models show patterns of high risk for USUV in parts of France, in the Pannonian Basin as well as northern Italy. The environmental niche model depicts the current situation better, but with USUV still being in an invasive stage there is a chance for under-estimation of risk. Areas where transmission occurred are mostly predicted correctly by the SEIR model, but it mostly fails to resolve the temporal dynamics of USUV events. High R

conclusionsThe results from our parallel-model approach highlight that relying on a single model for assessing vector-borne disease risk may lead to incomplete conclusions. Utilizing different modelling approaches is thus crucial for risk-assessment of under-studied emerging pathogens like USUV.

Indexed as

Disease OutbreaksFlavivirusModels, TheoreticalAnimalsEuropeFlavivirus InfectionsHumansRisk FactorsBasic reproduction numberENMEuropeMaxentR0Risk mapSEIRUsutuVector-borne disease

Identifiers

PMID30314528
PMCPMC6186058
OpenAlexW2897898131

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.