Digital disease detection and participatory surveillance

Overview and perspectives for Brazil

Bibliographic Data

ID10723827
AuthorsOnicio Leal-Neto (0000-0001-5785-1867, Fundação Oswaldo Cruz), Onicio B Leal-Neto (Epitrack eHealth, Brasil; Fundação Oswaldo Cruz, Brasil), George Santiago Dimech (0000-0003-0295-3393, Secretaria de Educação de Pernambuco), Marlo Libel (0000-0002-0019-1279, Skoll Global Threats Fund, USA), Wanderson Kleber De Oliveira (0000-0002-9662-1930, Ministério da Saúde), Wanderson Oliveira (Ministério da Saúde, Brasil), Juliana Perazzo Ferreira (Epitrack eHealth, Brasil; Universidade Federal de Pernambuco, Brasil)
Year2016
Volume50
Issue0
Pages17-17
Publication date2016-01-01
Open AccessYes
TypeARTICLE
VenueRevista de Saúde Pública (JOURNAL)
Journal identifiersISSN: 0034-8910 • E-ISSN: 0034-8910
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s1518-8787.2016050006201
PMID27191153
OpenAlexW2347869195
SciELOS0034-89102016000100702
LanguageEN
Citations received2
References cited6

This study aimed to describe the digital disease detection and participatory surveillance in different countries. The systems or platforms consolidated in the scientific field were analyzed by describing the strategy, type of data source, main objectives, and manner of interaction with users. Eleven systems or platforms, developed from 1996 to 2016, were analyzed. There was a higher frequency of data mining on the web and active crowdsourcing as well as a trend in the use of mobile applications. It is important to provoke debate in the academia and health services for the evolution of methods and insights into participatory surveillance in the digital age

Citizen journalism · Citizen science · Crowdsourcing · Data science · Disease · Disease surveillance · Field (mathematics) · Knowledge management · Participatory sensing · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Focus Groups and Qualitative Methods · Medicine · Vaccine Coverage and Hesitancy

Tools

Open DOISci-HubOpen Access