Evidence map›Paper›PMID 29122738›Full record

ArticleJournal of medical Internet research2017

Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala.

Daniel Olson, Molly Lamb, Maria Renee Lopez, Kathryn Colborn, Alejandra Paniagua-Avila, Alma Zacarias, Ricardo Zambrano-Perilla, Sergio Ricardo Rodríguez-Castro, Celia Cordon-Rosales, Edwin Jose Asturias

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024
    Article
  8. Evaluation of Vector-Enabled Xenosurveillance in Rural Guatemala.The American journal of tropical medicine and hygiene · 2023
    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

10 authors.

Daniel OlsonSection of Pediatric Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0002-2374-1448
Molly LambCenter for Global Health, Colorado School of Public Health, Aurora, CO, United States.ORCID 0000-0002-2331-2555
Maria Renee LopezCentro de Estudios en Salud,, Universidad del Valle de Guatemala, Guatemala City, Guatemala.ORCID 0000-0001-7498-5840
Kathryn ColbornDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, United States.ORCID 0000-0001-8399-6330
Alejandra Paniagua-AvilaFundacion para la Salud Integral de los Guatemaltecos, Center for Human Development, Coatepeque, Guatemala.ORCID 0000-0002-1152-3785
Alma ZacariasFundacion para la Salud Integral de los Guatemaltecos, Center for Human Development, Coatepeque, Guatemala.ORCID 0000-0003-4599-4427
Ricardo Zambrano-PerillaIntegra IT, Bogota, Colombia.ORCID 0000-0002-3509-3062
Sergio Ricardo Rodríguez-CastroIntegra IT, Bogota, Colombia.ORCID 0000-0002-2067-5369
Celia Cordon-RosalesCentro de Estudios en Salud,, Universidad del Valle de Guatemala, Guatemala City, Guatemala.ORCID 0000-0003-2381-4173
Edwin Jose AsturiasSection of Pediatric Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, United States.ORCID 0000-0002-1275-0787

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
NCATS NIH HHS UL1 TR001082
6 · The paper itself

Abstract

backgroundWith their increasing availability in resource-limited settings, mobile phones may provide an important tool for participatory syndromic surveillance, in which users provide symptom data directly into a centralized database.

objectiveWe studied the performance of a mobile phone app-based participatory syndromic surveillance system for collecting syndromic data (acute febrile illness and acute gastroenteritis) to detect dengue virus and norovirus on a cohort of children living in a low-resource and rural area of Guatemala.

methodsRandomized households were provided with a mobile phone and asked to submit weekly reports using a symptom diary app (Vigilant-e). Participants reporting acute febrile illness or acute gastroenteritis answered additional questions using a decision-tree algorithm and were subsequently visited at home by a study nurse who performed a second interview and collected samples for dengue virus if confirmed acute febrile illness and norovirus if acute gastroenteritis. We analyzed risk factors associated with decreased self-reporting of syndromic data using the Vigilant-e app and evaluated strategies to improve self-reporting. We also assessed agreement between self-report and nurse-collected data obtained during home visits.

resultsFrom April 2015 to June 2016, 469 children in 207 households provided 471 person-years of observation. Mean weekly symptom reporting rate was 78% (range 58%-89%). Households with a poor (<70%) weekly reporting rate using the Vigilant-e app during the first 25 weeks of observation (n=57) had a greater number of children (mean 2.8, SD 1.5 vs mean 2.5, SD 1.3; risk ratio [RR] 1.2, 95% CI 1.1-1.4), were less likely to have used mobile phones for text messaging at study enrollment (61%, 35/57 vs 76.7%, 115/150; RR 0.6, 95% CI 0.4-0.9), and were less likely to access care at the local public clinic (35%, 20/57 vs 67.3%, 101/150; RR 0.4, 95% CI 0.2-0.6). Parents of female enrolled participants were more likely to have low response rate (57.1%, 84/147 vs 43.8%, 141/322; RR 1.4, 95% CI 1.1-1.9). Several external factors (cellular tower collapse, contentious elections) were associated with periods of decreased reporting. Poor response rate (<70%) was associated with lower case reporting of acute gastroenteritis, norovirus-associated acute gastroenteritis, acute febrile illness, and dengue virus-associated acute febrile illness (P<.001). Parent-reported syndromic data on the Vigilant-e app demonstrated agreement with nurse-collected data for fever (kappa=.57, P<.001), vomiting (kappa=.63, P<.001), and diarrhea (kappa=.61, P<.001), with decreased agreement as the time interval between parental report and nurse home visit increased (<1 day: kappa=.65-.70; ≥2 days: kappa=.08-.29).

conclusionsIn a resource-limited area of rural Guatemala, a mobile phone app-based participatory syndromic surveillance system demonstrated a high reporting rate and good agreement between parental reported data and nurse-reported data during home visits. Several household-level and external factors were associated with decreased syndromic reporting. Poor reporting rate was associated with decreased syndromic and pathogen-specific case ascertainment.

Indexed as

Sentinel SurveillanceAcute DiseaseAdolescentCell PhoneChildChild, PreschoolCohort StudiesFemaleFeverGastroenteritisGuatemalaHumansInfantInfant, NewbornMaleMobile Applicationsacute febrile illnessappdenguediarrheaGuatemalamobile phonenorovirusparticipatorysyndromic surveillance

Identifiers

PMID29122738
PMCPMC5701088

What OpenQuestion holds

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LicenceCC BY
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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.