Evidence map›Paper›PMID 37985537›Full record

ArticleEcoHealth2023

Ecological Niche and Positive Clusters of Two West Nile Virus Vectors in Ontario, Canada.

Benoit Talbot, Manisha A Kulkarni, Maxime Rioux-Rousseau, Kevin Siebels, Serge Olivier Kotchi, Nicholas H Ogden, Antoinette Ludwig

Open access · hybridAbstract read
In one paragraph

Article in EcoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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 2 institutions in 2 countries.

Benoit TalbotSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada. benoit.talbot@uottawa.ca.ORCID 0000-0002-3567-1213
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Maxime Rioux-RousseauResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Kevin SiebelsResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Serge Olivier KotchiResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Nicholas H OgdenResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Antoinette LudwigResearch Group on Epidemiology of Zoonoses and Public Health (GREZOSP), Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe, QC, Canada.
Public Health Agency of Canada · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile virus (WNV) is a mosquito-borne pathogen associated with uncommon but severe neurological complications in humans, especially among the elderly and immune-compromised. In Northeastern North America, the Culex pipiens/restuans complex and Aedes vexans are the two principal vector mosquito species/species groups of WNV. Using a 10-year surveillance dataset of WNV vector captures at 118 sites across an area of 40,000 km

Indexed as

AedesCulexWest Nile FeverWest Nile virusAgedAnimalsEcosystemHumansOntarioAedes vexansCulex pipiens/restuansKulldorf’s spatial scan statisticMachine learningRandom forest algorithmWest Nile virus

Identifiers

PMID37985537
PMCPMC10757704
OpenAlexW4388823085

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.