Evidence map›Paper›PMID 30697487›Full record

ArticlePeerJ2019

Use of open mobile mapping tool to assess human mobility traceability in rural offline populations with contrasting malaria dynamics.

Gabriel Carrasco-Escobar, Marcia C Castro, Jose Luis Barboza, Jorge Ruiz-Cabrejos, Alejandro Llanos-Cuentas, Joseph M Vinetz, Dionicia Gamboa

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  13. Malaria Transmission and Spillover across the Peru-Ecuador Border: A Spatiotemporal Analysis.International journal of environmental research and public health · 2020
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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

7 authors.

Gabriel Carrasco-EscobarLaboratorio 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 of America.
Jose Luis BarbozaLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Jorge Ruiz-CabrejosLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.
Alejandro Llanos-CuentasInstituto de Medicinal Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Joseph M VinetzInstituto de Medicinal Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru.
Dionicia GamboaLaboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru.

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 CASTRO, MARCIA C. · 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

Infectious disease dynamics are affected by human mobility more powerfully than previously thought, and thus reliable traceability data are essential. In rural riverine settings, lack of infrastructure and dense tree coverage deter the implementation of cutting-edge technology to collect human mobility data. To overcome this challenge, this study proposed the use of a novel open mobile mapping tool, GeoODK. This study consists of a purposive sampling of 33 participants in six villages with contrasting patterns of malaria transmission that demonstrates a feasible approach to map human mobility. The self-reported traceability data allowed the construction of the first human mobility framework in rural riverine villages in the Peruvian Amazon. The mobility spectrum in these areas resulted in travel profiles ranging from 2 hours to 19 days; and distances between 10 to 167 km. Most Importantly, occupational-related mobility profiles with the highest displacements (in terms of time and distance) were observed in commercial, logging, and hunting activities. These data are consistent with malaria transmission studies in the area that show villages in watersheds with higher human movement are concurrently those with greater malaria risk. The approach we describe represents a potential tool to gather critical information that can facilitate malaria control activities.

Indexed as

AmazonContact networkEpidemicsHuman mobilityInfectious diseasesMalariaNetwork

Identifiers

PMID30697487
PMCPMC6346981

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.