Evidence map›Paper›PMID 33072692›Full record

ArticleFrontiers in public health2020

Open-Source 3D Printable GPS Tracker to Characterize the Role of Human Population Movement on Malaria Epidemiology in River Networks: A Proof-of-Concept Study in the Peruvian Amazon.

Gabriel Carrasco-Escobar, Kimberly Fornace, Daniel Wong, Pierre G Padilla-Huamantinco, Jose A Saldaña-Lopez, Ober E Castillo-Meza, Armando E Caballero-Andrade, Edgar Manrique, Jorge Ruiz-Cabrejos, Jose Luis Barboza and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

16 authors at 5 institutions in 3 countries.

Gabriel Carrasco-EscobarHealth Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Kimberly FornaceFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Daniel WongLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Pierre G Padilla-HuamantincoHealth Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Jose A Saldaña-LopezDepartamento de Ingenieria, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Ober E Castillo-MezaDepartamento de Ingenieria, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Armando E Caballero-AndradeDepartamento de Ingenieria, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Edgar ManriqueHealth Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Jorge Ruiz-CabrejosHealth Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Jose Luis BarbozaLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Hugo RodriguezDirección Regional de Salud Loreto, Loreto, Peru.
German HenostrozaDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Dionicia GamboaLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Marcia C CastroDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Joseph M VinetzInstituto de Medicinal Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Alejandro Llanos-CuentasInstituto de Medicinal Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Universidad Peruana Cayetano Heredia · PEDirección Regional de Salud del Callao · PEHarvard Global Health Institute · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Alabama at Birmingham · US

Funding

Sugar-feeding behavior of the malaria vector Nyssorhynchus darlingi and development of effective attractive toxic sugar baits (ATSB) to increase intervention success in PeruU19AI089681 · NIAID · YALE UNIVERSITY · PI FERREIRA, MARCELO URBANO · 2010 to 2023
$20.1M
Translational Research Development for Endemic Infectious Diseases of AmazoniaD43TW007120 · FIC · YALE UNIVERSITY · PI VINETZ, JOSEPH M. · 2004 to 2020
$3.0M
FIC NIH HHS D43 TW007120NIAID NIH HHS U19 AI089681
6 · The paper itself

Abstract

Human movement affects malaria epidemiology at multiple geographical levels; however, few studies measure the role of human movement in the Amazon Region due to the challenging conditions and cost of movement tracking technologies. We developed an open-source low-cost 3D printable GPS-tracker and used this technology in a cohort study to characterize the role of human population movement in malaria epidemiology in a rural riverine village in the Peruvian Amazon. In this pilot study of 20 participants (mean age = 40 years old), 45,980 GPS coordinates were recorded over 1 month. Characteristic movement patterns were observed relative to the infection status and occupation of the participants. Applying two analytical animal movement ecology methods, utilization distributions (UDs) and integrated step selection functions (iSSF), we showed contrasting environmental selection and space use patterns according to infection status. These data suggested an important role of human movement in the epidemiology of malaria in the Peruvian Amazon due to high connectivity between villages of the same riverine network, suggesting limitations of current community-based control strategies. We additionally demonstrate the utility of this low-cost technology with movement ecology analysis to characterize human movement in resource-poor environments.

Indexed as

MalariaRiversAdultAnimalsCohort StudiesHumansPeruPilot ProjectsAmazonasymptomatic malariaconnectivityhuman movementmalariamovement ecologynetworksopen-source

Identifiers

PMID33072692
PMCPMC7542225
OpenAlexW3087927399

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.