Evidence map›Paper›PMID 33171693›Full record

ArticleInternational journal of environmental research and public health2020

Human West Nile Meningo-Encephalitis in a Highly Endemic Country: A Complex Epidemiological Analysis on Biotic and Abiotic Risk Factors.

Mircea Coroian, Mina Petrić, Adriana Pistol, Anca Sirbu, Cristian Domșa, Andrei Daniel Mihalca

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 12 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

6 authors at 4 institutions in 3 countries.

Mircea CoroianDepartment of Parasitology and Parasitic Diseases, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372 Cluj-Napoca, Romania.ORCID 0000-0003-0772-3343
Mina PetrićDepartment of Physics, Faculty of Sciences, Ghent University, B-9000 Ghent, Belgium.ORCID 0000-0003-3399-1405
Adriana PistolNational Centre for Communicable Diseases Surveillance and Control, National Institute of Public Health, 050463 Bucharest, Romania.
Anca SirbuNational Centre for Communicable Diseases Surveillance and Control, National Institute of Public Health, 050463 Bucharest, Romania.
Cristian DomșaDepartment of Parasitology and Parasitic Diseases, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372 Cluj-Napoca, Romania.
Andrei Daniel MihalcaDepartment of Parasitology and Parasitic Diseases, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372 Cluj-Napoca, Romania.
National Institute of Research and Development for Biological Sciences · ROUniversity of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca · ROIuliu Hațieganu University of Medicine and Pharmacy · ROUniversity of Novi Sad · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile virus (WNV) is one of the most prevalent mosquito-borne viruses. Although the infection in humans is mostly asymptomatic, 15-20% of cases show flu-like symptoms with fever. In 1% of infections, humans develop severe nervous symptoms and even die, a condition known as West Nile neuroinvasive disease (WNND). The aim of our study was to analyze the influence of abiotic and biotic factors with the human WNND cases during the period 2015-2019. A database containing all the localities in Romania was developed. Abiotic and biotic predictors were included for each locality: geographic variables, climatic data, and biotic factors. Spatial distribution of the WNND infections was analyzed using directional distribution (DD). The Spearman's rank correlation coefficient was employed to assess the strength of association between the WNND infections and predictors. A model was generated using the random forest ensemble learning method. A total number of 535 human WNND cases were confirmed in 308 localities. The DD showed a south-eastern geographical distribution. Weak correlation was observed between the number of human WNND cases for each year and the predictors. The highest predicted probability was around urbanized patches in the south and southeast. Increased surveillance and control measures of vectors in risk areas should be implemented and educational campaigns should be made available for the general public in order to raise awareness of the disease and inform the population about prophylactic measures.

Indexed as

Age FactorsAnimalsHumansMeningoencephalitisPopulation SurveillanceRisk FactorsRomaniaSentinel SurveillanceWest Nile FeverWest Nile virusabioticbioticmodellingmosquitopredictorsWest Nile virusWNND

Identifiers

PMID33171693
PMCPMC7664930
OpenAlexW3103418344

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.