Evidence map›Paper›PMID 32524965›Full record

ArticleThe American journal of tropical medicine and hygiene2020

Novel Evolutionary Algorithm Identifies Interactions Driving Infestation of

John P Hanley, Donna M Rizzo, Lori Stevens, Sara Helms Cahan, Patricia L Dorn, Leslie A Morrissey, Antonieta Guadalupe Rodas, Lucia C Orantes, Carlota Monroy

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 2 countries.

John P Hanley1Department of Civil and Environmental Engineering, University of Vermont, Burlington, Vermont.
Donna M Rizzo1Department of Civil and Environmental Engineering, University of Vermont, Burlington, Vermont.
Lori Stevens2Department of Biology, University of Vermont, Burlington, Vermont.
Sara Helms Cahan2Department of Biology, University of Vermont, Burlington, Vermont.
Patricia L Dorn3Department of Biological Sciences, Loyola University New Orleans, New Orleans, Louisiana.
Leslie A Morrissey4Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont.
Antonieta Guadalupe Rodas5Laboratorio de Entomología Aplicada y Parasitología, Escuela de Biología, Universidad de San Carlos de Guatemala, Ciudad de Guatemala, Guatemala.
Lucia C Orantes4Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont.
Carlota Monroy5Laboratorio de Entomología Aplicada y Parasitología, Escuela de Biología, Universidad de San Carlos de Guatemala, Ciudad de Guatemala, Guatemala.
University of Vermont · USUniversity of San Carlos of Guatemala · GTLoyola University New Orleans · US

Funding

Chagas disease transmission: Genomic studies of the kissing bug Triatoma infestans to enhance control strategies for a neglected tropical diseaseR03AI126268 · NIAID · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CAHAN, SARA, STEVENS, LORI · 2016 to 2017
$155k
NIAID NIH HHS R03 AI126268
6 · The paper itself

Abstract

Chagas disease is a lethal, neglected tropical disease. Unfortunately, aggressive insecticide-spraying campaigns have not been able to eliminate domestic infestation of

Indexed as

Animals, DomesticHousing, AnimalInsect VectorsTriatomaAlgorithmsAnimalsChagas DiseaseChickensConstruction MaterialsDogsElectric WiringFamily CharacteristicsGuatemalaHousingHumansHygieneInsecticidesPyrethrins

Identifiers

PMID32524965
PMCPMC7410465
OpenAlexW3033310422

What OpenQuestion holds

Textmetadata
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.