Evidence map›Paper›PMID 32254042›Full record

ArticleJMIR public health and surveillance2020

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study.

Onicio Leal Neto, Oswaldo Cruz, Jones Albuquerque, Mariana Nacarato de Sousa, Mark Smolinski, Eduarda Ângela Pessoa Cesse, Marlo Libel, Wayner Vieira de Souza

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024
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  13. Observational
  14. Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review.International journal of environmental research and public health · 2022
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  15. Article
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  19. Article
  20. Scaling up of Eco-Bio-Social Strategy to ControlInternational journal of environmental research and public health · 2021
    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

8 authors at 2 institutions in 2 countries.

Onicio Leal NetoUniversity of Zurich, Zurich, Switzerland.ORCID 0000-0001-5785-1867
Oswaldo CruzScientific Computation Program, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.ORCID 0000-0002-3289-3195
Jones AlbuquerqueEpitrack, Recife, Brazil.ORCID 0000-0001-8313-1687
Mariana Nacarato de SousaEpitrack, Recife, Brazil.ORCID 0000-0002-1449-9450
Mark SmolinskiEnding Pandemics, San Francisco, CA, United States.ORCID 0000-0002-5713-8241
Eduarda Ângela Pessoa CesseAggeu Magalhães Research Center, Oswaldo Cruz Foundation, Recife, Brazil.ORCID 0000-0001-5745-3981
Marlo LibelEnding Pandemics, San Francisco, CA, United States.ORCID 0000-0002-0019-1279
Wayner Vieira de SouzaAggeu Magalhães Research Center, Oswaldo Cruz Foundation, Recife, Brazil.ORCID 0000-0002-0939-9332
Fundação Oswaldo Cruz · BRUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the evolution of digital media, areas such as public health are adding new platforms to complement traditional systems of epidemiological surveillance. Participatory surveillance and digital epidemiology have become innovative tools for the construction of epidemiological landscapes with citizens' participation, improving traditional sources of information. Strategies such as these promote the timely detection of warning signs for outbreaks and epidemics in the region.

objectiveThis study aims to describe the participatory surveillance platform Guardians of Health, which was used in a project conducted during the 2016 Olympic and Paralympic Games in Rio de Janeiro, Brazil, and officially used by the Brazilian Ministry of Health for the monitoring of outbreaks and epidemics.

methodsThis is a descriptive study carried out using secondary data from Guardians of Health available in a public digital repository. Based on syndromic signals, the information subsidy for decision making by policy makers and health managers becomes more dynamic and assertive. This type of information source can be used as an early route to understand the epidemiological scenario.

resultsThe main result of this research was demonstrating the use of the participatory surveillance platform as an additional source of information for the epidemiological surveillance performed in Brazil during a mass gathering. The platform Guardians of Health had 7848 users who generated 12,746 reports about their health status. Among these reports, the following were identified: 161 users with diarrheal syndrome, 68 users with respiratory syndrome, and 145 users with rash syndrome.

conclusionsIt is hoped that epidemiological surveillance professionals, researchers, managers, and workers become aware of, and allow themselves to use, new tools that improve information management for decision making and knowledge production. This way, we may follow the path for a more intelligent, efficient, and pragmatic disease control system.

Indexed as

AdolescentAdultAgedAged, 80 and overBrazilChildCrowdsourcingEpidemiologyFemaleHumansMaleMiddle AgedPopulation SurveillanceProgram EvaluationSportsdigital disease detectiondisease surveillanceepidemiologyhealth innovationinfectious diseasesmobile phonepandemicsparticipatory surveillance

Identifiers

PMID32254042
PMCPMC7175192
OpenAlexW3004162060

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.