Evidence map›Paper›PMID 31400202›Full record

ArticleJournal of medical entomology2020

Mapping Aedes aegypti (Diptera: Culicidae) and Aedes albopictus Vector Mosquito Distribution in Brownsville, TX.

Mark H Myer, Chelsea M Fizer, Kenneth R Mcpherson, Anne C Neale, Andrew N Pilant, Arturo Rodriguez, Pai-Yei Whung, John M Johnston

Abstract read
In one paragraph

Article in Journal of medical entomology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  11. The effect of temperature on dengue virus transmission byFrontiers in cellular and infection microbiology · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. The impact of novel coronavirus (2019-One health (Amsterdam, Netherlands) · 2021
    Article
  16. Article
  17. Article
  18. 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

8 authors.

Mark H MyerORISE U.S. Environmental Protection Agency, Athens, GA.
Chelsea M FizerORAU U.S. Environmental Protection Agency, Durham, NC.
Kenneth R McphersonU.S. Environmental Protection Agency, Dallas, TX.
Anne C NealeU.S. Environmental Protection Agency, Durham, NC.
Andrew N PilantU.S. Environmental Protection Agency, Durham, NC.
Arturo RodriguezPublic Health Department, Brownsville, TX.
Pai-Yei WhungU.S. Environmental Protection Agency, Durham, NC.
John M JohnstonU.S. Environmental Protection Agency, Athens, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aedes mosquitoes are vectors of several emerging diseases and are spreading worldwide. We investigated the spatiotemporal dynamics of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) mosquito trap captures in Brownsville, TX, using high-resolution land cover, socioeconomic, and meteorological data. We modeled mosquito trap counts using a Bayesian hierarchical mixed-effects model with spatially correlated residuals. The models indicated an inverse relationship between temperature and mosquito trap counts for both species, which may be due to the hot and arid climate of southern Texas. The temporal trend in mosquito populations indicated Ae. aegypti populations peaking in the late spring and Ae. albopictus reaching a maximum in winter. Our results indicated that seasonal weather variation, vegetation height, human population, and land cover determine which of the two Aedes species will predominate.

Indexed as

Animal DistributionAedesAnimalsBayes TheoremLarvaMosquito VectorsSpecies SpecificityTemperatureTexasAedesBayesianmosquito controlstatistical modelweather

Identifiers

PMID31400202
PMCPMC6951034

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.