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Digital disease detection and participatory surveillance: overview and perspectives for Brazil

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...

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Detalles Bibliográficos
Autores principales: Leal-Neto, Onicio B, Dimech, George S, Libel, Marlo, Oliveira, Wanderson, Ferreira, Juliana Perazzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902089/
https://www.ncbi.nlm.nih.gov/pubmed/27191153
http://dx.doi.org/10.1590/S1518-8787.2016050006201
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author Leal-Neto, Onicio B
Dimech, George S
Libel, Marlo
Oliveira, Wanderson
Ferreira, Juliana Perazzo
author_facet Leal-Neto, Onicio B
Dimech, George S
Libel, Marlo
Oliveira, Wanderson
Ferreira, Juliana Perazzo
author_sort Leal-Neto, Onicio B
collection PubMed
description 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.
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spelling pubmed-49020892016-06-21 Digital disease detection and participatory surveillance: overview and perspectives for Brazil Leal-Neto, Onicio B Dimech, George S Libel, Marlo Oliveira, Wanderson Ferreira, Juliana Perazzo Rev Saude Publica Brief Communication 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. Faculdade de Saúde Pública da Universidade de São Paulo 2016-04-27 /pmc/articles/PMC4902089/ /pubmed/27191153 http://dx.doi.org/10.1590/S1518-8787.2016050006201 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communication
Leal-Neto, Onicio B
Dimech, George S
Libel, Marlo
Oliveira, Wanderson
Ferreira, Juliana Perazzo
Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title_full Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title_fullStr Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title_full_unstemmed Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title_short Digital disease detection and participatory surveillance: overview and perspectives for Brazil
title_sort digital disease detection and participatory surveillance: overview and perspectives for brazil
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902089/
https://www.ncbi.nlm.nih.gov/pubmed/27191153
http://dx.doi.org/10.1590/S1518-8787.2016050006201
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