Evidence map›Paper›PMID 38090115›Full record

ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2022

A meteorological-based forecasting model for predicting minimal infection rates in

Julie Ducrocq, Karl Forest-Bérard, Najwa Ouhoummane, Elhadji Laouan Sidi, Antoinette Ludwig, Alejandra Irace-Cima

Abstract read
In one paragraph

Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Julie DucrocqInstitut national de santé publique du Québec, Montréal, QC.
Karl Forest-BérardInstitut national de santé publique du Québec, Montréal, QC.
Najwa OuhoummaneInstitut national de santé publique du Québec, Montréal, QC.
Elhadji Laouan SidiInstitut national de santé publique du Québec, Montréal, QC.
Antoinette LudwigScientific Operations and Response, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, QC.
Alejandra Irace-CimaInstitut national de santé publique du Québec, Montréal, QC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Methods: Annual minimal infection rate (number of positive pools/number of mosquitoes) was calculated for 856 mosquito traps set from 2003 to 2006 and 2013 to 2018 throughout the south of Québec's. Coefficient of determination (R Results: Mean temperatures and cumulative precipitation from the previous months of March (R Conclusion: All regression models explored have too weak predictive abilities to be useful as a public health tool. Other factors implicated in the epidemiology of the West Nile virus need to be incorporated in a meteorological-based early warning model for it to be useful to the provincial health authorities.

Indexed as

epidemiologyforecasting tooloutbreaksQuébecWest Nile virus

Identifiers

PMID38090115
PMCPMC10712692

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.