Evidence map›Paper›PMID 30401870›Full record

ArticleScientific reports2018

Estimating the risk of Dengue, Chikungunya and Zika outbreaks in a large European city.

Angelo G Solimini, Mattia Manica, Roberto Rosà, Alessandra Della Torre, Beniamino Caputo

Abstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

5 authors.

Angelo G SoliminiDepartment of Public Health and Infectious Diseases, Universita' La Sapienza, Rome, Italy. angelo.solimini@uniroma1.it.ORCID http://orcid.org/0000-0002-5281-7624
Mattia ManicaDepartment of Public Health and Infectious Diseases, Universita' La Sapienza, Rome, Italy.
Roberto RosàDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.
Alessandra Della TorreDepartment of Public Health and Infectious Diseases, Universita' La Sapienza, Rome, Italy.
Beniamino CaputoDepartment of Public Health and Infectious Diseases, Universita' La Sapienza, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreaks of arbovirus infections vectored by invasive Aedes albopictus have already occurred and are predicted to become increasingly frequent in Southern Europe. We present a probabilistic model to assess risk of arbovirus outbreaks based on incident cases worldwide, on the probability of arrival of infected travelers, and on the abundance of the vector species. Our results show a significant risk of Chikungunya outbreak in Rome from mid June to October in simulations with high human biting rates (i.e. when ≥50% of the population is bitten every day). The outbreak risk is predicted to be highest for Chikungunya and null for Zika. Simulated increase of incident cases in selected endemic countries has no major impact on the outbreak risk. The model correctly estimated the number of imported cases and can be easily adapted to other urban areas where Ae. albopictus is the only potential vector present.

Indexed as

AedesAnimalsChikungunya FeverChikungunya virusDengueDengue VirusDisease OutbreaksEuropeFemaleHumansModels, TheoreticalMosquito VectorsRisk FactorsZika VirusZika Virus Infection

Identifiers

PMID30401870
PMCPMC6219586

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.