Evidence map›Paper›PMID 29587649›Full record

ArticleBMC infectious diseases2018

Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach.

Shruti Mallya, Beate Sander, Marie-Hélène Roy-Gagnon, Monica Taljaard, Ann Jolly, Manisha A Kulkarni

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Article
  8. Article
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  10. Increased risk of endemic mosquito-borne diseases in Canada due to climate change.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2019
    Article
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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 2 institutions in 1 country.

Shruti MallyaSchool of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
Beate SanderInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Marie-Hélène Roy-GagnonSchool of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
Monica TaljaardSchool of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
Ann JollySchool of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
Manisha A KulkarniSchool of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada. Manisha.kulkarni@uottawa.ca.ORCID 0000-0002-5084-4960
University of Ottawa · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWest Nile Virus (WNV) is a mosquito-borne pathogen that has become established in North America. Risk for human infection varies geographically in accordance with climate and population factors. Though often asymptomatic, human WNV infection can cause febrile illness or, rarely, neurologic disease. WNV has become a public health concern in Canada since its introduction in 2001.

methodsTo identify predictors of human WNV incidence at the public health unit (PHU) level in Ontario, Canada, we combined data on environmental and population characteristics of PHUs with historical mosquito and human surveillance records from 2002 to 2013. We examined the associations between annual WNV incidence and monthly climate indices (e.g. minimum and maximum temperature, average precipitation), land cover (e.g. deciduous forest, water), population structure (e.g. age and sex composition) and the annual percentage of WNV-positive mosquito pools from 2002 to 2013. We then developed a generalized linear mixed model with a Poisson distribution adjusting for spatial autocorrelation and repeat measures. Further to this, to examine potential 'early season' predictors of WNV incidence in a given year, we developed a model based on winter and spring monthly climate indices.

resultsSeveral climate indices, including mean minimum temperature (

conclusionsOur study demonstrates that early season temperature and precipitation indices, in addition to the percentage of WNV-positive mosquito pools in a given area, may assist in predicting the likelihood of a more severe human WNV season in southern regions of Ontario, where WNV epidemics occur sporadically.

Indexed as

AnimalsClimateCulicidaeHumansIncidenceLinear ModelsOntarioPoisson DistributionRisk FactorsSeasonsTemperatureWest Nile FeverWest Nile virusClimateEpidemiologyModelPublic healthRiskWest Nile virus

Identifiers

PMID29587649
PMCPMC5872497
OpenAlexW2795053125

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.