Evidence map›Paper›PMID 27057131›Full record

ArticleEarth interactions2015

Projection of Climate Change Influences on U.S. West Nile Virus Vectors.

Heidi E Brown, Alex Young, Joceline Lega, Theodore G Andreadis, Jessica Schurich, Andrew Comrie

Abstract read
In one paragraph

Article in Earth interactions, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  9. 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
  10. Article
  11. 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.

Heidi E BrownDivision of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Alex YoungDepartment of Mathematics, University of Arizona, Tucson, AZ, USA.
Joceline LegaDepartment of Mathematics, University of Arizona, Tucson, AZ, USA.
Theodore G AndreadisCenter for Vector Biology & Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, USA.
Jessica SchurichColorado Mosquito Control, Denver, CO, USA.
Andrew ComrieSchool of Geography & Development, University of Arizona, Tucson, AZ, USA.

Funding

Simulation Modeling of Public Health Interventions on Dengue Vector Abundance: CuK01AI101224 · NIAID · UNIVERSITY OF ARIZONA · PI BROWN, HEIDI E · 2014 to 2018
$574k
NIAID NIH HHS K01 AI101224
6 · The paper itself

Abstract

While estimates of the impact of climate change on health are necessary for health care planners and climate change policy makers, models to produce quantitative estimates remain scarce. We describe a freely available dynamic simulation model parameterized for three West Nile virus vectors, which provides an effective tool for studying vector-borne disease risk due to climate change. The Dynamic Mosquito Simulation Model is parameterized with species specific temperature-dependent development and mortality rates. Using downscaled daily weather data, we estimate mosquito population dynamics under current and projected future climate scenarios for multiple locations across the country. Trends in mosquito abundance were variable by location, however, an extension of the vector activity periods, and by extension disease risk, was almost uniformly observed. Importantly, mid-summer decreases in abundance may be off-set by shorter extrinsic incubation periods resulting in a greater proportion of infective mosquitoes. Quantitative descriptions of the effect of temperature on the virus and mosquito are critical to developing models of future disease risk.

Identifiers

PMID27057131
PMCPMC4821504

What OpenQuestion holds

Textmetadata
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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.