Evidence map›Paper›PMID 35100289›Full record

ArticlePLoS neglected tropical diseases2022

Spatial patterns of West Nile virus distribution in the Volgograd region of Russia, a territory with long-existing foci.

Natalia Shartova, Varvara Mironova, Svetlana Zelikhina, Fedor Korennoy, Mikhail Grishchenko

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Genomic epidemiology of West Nile virus in Europe.One health (Amsterdam, Netherlands) · 2024
    Review
  3. Article
  4. Article
  5. PredictingFrontiers in microbiology · 2023
    Article
  6. Article
  7. Review
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 at 3 institutions in 1 country.

Natalia ShartovaFaculty of Geography, Lomonosov Moscow State University, Moscow, Russia.ORCID https://orcid.org/0000-0003-2758-9612
Varvara MironovaFaculty of Geography, Lomonosov Moscow State University, Moscow, Russia.
Svetlana ZelikhinaFaculty of Geography, Lomonosov Moscow State University, Moscow, Russia.ORCID https://orcid.org/0000-0001-5168-608X
Fedor KorennoyFGBI Federal Center for Animal Health (FGBI ARRIAH), Vladimir, Russia.ORCID https://orcid.org/0000-0002-7378-3531
Mikhail GrishchenkoFaculty of Geography, Lomonosov Moscow State University, Moscow, Russia.ORCID https://orcid.org/0000-0003-3223-7697
Lomonosov Moscow State University · RUAll-Russian Research Institute for Animal Health · RUNational Research University Higher School of Economics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Southern Russia remains affected by West Nile virus (WNV). In the current study, we identified the spatial determinants of WNV distribution in an area with endemic virus transmission, with special reference to the urban settings, by mapping probable points of human infection acquisition and points of virus detection in mosquitoes, ticks, birds, and mammals during 1999-2016. The suitability of thermal conditions for extrinsic virus replication was assessed based on the approach of degree-day summation and their changes were estimated by linear trend analysis. A generalized linear model was used to analyze the year-to-year variation of human cases versus thermal conditions. Environmental suitability was determined by ecological niche modelling using MaxEnt software. Human population density was used as an offset to correct for possible bias. Spatial analysis of virus detection in the environment showed significant contributions from surface temperature, altitude, and distance from water bodies. When indicators of location and mobility of the human population were included, the relative impact of factors changed, with roads becoming most important. When the points of probable human case infection were added, the percentage of leading factors changed only slightly. The urban environment significantly increased the epidemic potential of the territory and created quite favorable conditions for virus circulation. The private building sector with low-storey houses and garden plots located in the suburbs provided a connection between urban and rural transmission cycles.

Indexed as

AedesAnimalsAnophelesArgasidaeBirdsCulexCulicidaeEnvironmentGeographyHumansIxodidaePopulation DensityRussiaSpatial AnalysisTemperatureTicks

Identifiers

PMID35100289
PMCPMC8803152
OpenAlexW4210377795

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.