Open Access
Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala
Daniel Olson
1
,
Molly M. Lamb
2
,
Maria Renee Lopez
3
,
Kathryn L. Colborn
4
,
Alejandra Paniagua-Avila
5
,
Alma Zacarias
5
,
Ricardo Zambrano-Perilla
6
,
Sergio Ricardo Rodríguez-Castro
6
,
Celia Cordon-Rosales
3
,
Edwin Asturias
1
3
Centro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala
|
5
Fundacion para la Salud Integral de los Guatemaltecos, Center for Human Development, Coatepeque, Guatemala.
|
6
Integra IT, Bogota, Colombia.
|
Publication type: Journal Article
Publication date: 2017-11-09
scimago Q1
wos Q1
SJR: 1.992
CiteScore: 11.7
Impact factor: 6.0
ISSN: 14394456, 14388871
PubMed ID:
29122738
Health Informatics
Abstract
With 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.We 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.Randomized 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.From 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).In 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.
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Total citations:
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Citations from 2024:
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GOST
Copy
Olson D. et al. Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala // Journal of Medical Internet Research. 2017. Vol. 19. No. 11. p. e368.
GOST all authors (up to 50)
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Olson D., Lamb M. M., Lopez M. R., Colborn K. L., Paniagua-Avila A., Zacarias A., Zambrano-Perilla R., Rodríguez-Castro S. R., Cordon-Rosales C., Asturias E. Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala // Journal of Medical Internet Research. 2017. Vol. 19. No. 11. p. e368.
Cite this
RIS
Copy
TY - JOUR
DO - 10.2196/jmir.8041
UR - https://doi.org/10.2196/jmir.8041
TI - Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala
T2 - Journal of Medical Internet Research
AU - Olson, Daniel
AU - Lamb, Molly M.
AU - Lopez, Maria Renee
AU - Colborn, Kathryn L.
AU - Paniagua-Avila, Alejandra
AU - Zacarias, Alma
AU - Zambrano-Perilla, Ricardo
AU - Rodríguez-Castro, Sergio Ricardo
AU - Cordon-Rosales, Celia
AU - Asturias, Edwin
PY - 2017
DA - 2017/11/09
PB - JMIR Publications
SP - e368
IS - 11
VL - 19
PMID - 29122738
SN - 1439-4456
SN - 1438-8871
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2017_Olson,
author = {Daniel Olson and Molly M. Lamb and Maria Renee Lopez and Kathryn L. Colborn and Alejandra Paniagua-Avila and Alma Zacarias and Ricardo Zambrano-Perilla and Sergio Ricardo Rodríguez-Castro and Celia Cordon-Rosales and Edwin Asturias},
title = {Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala},
journal = {Journal of Medical Internet Research},
year = {2017},
volume = {19},
publisher = {JMIR Publications},
month = {nov},
url = {https://doi.org/10.2196/jmir.8041},
number = {11},
pages = {e368},
doi = {10.2196/jmir.8041}
}
Cite this
MLA
Copy
Olson, Daniel, et al. “Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala.” Journal of Medical Internet Research, vol. 19, no. 11, Nov. 2017, p. e368. https://doi.org/10.2196/jmir.8041.