Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Rev Saude Publica ; 50: 17, 2016.
Artigo em Inglês, Português | MEDLINE | ID: mdl-27191153

RESUMO

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.


Assuntos
Coleta de Dados/instrumentação , Aplicativos Móveis , Vigilância em Saúde Pública/métodos , Brasil , Coleta de Dados/tendências , Humanos , Internet , Informática Médica , Aplicativos Móveis/classificação , Aplicativos Móveis/tendências , Saúde Pública
2.
JMIR Mhealth Uhealth ; 2(1): e10, 2014 Mar 10.
Artigo em Inglês | MEDLINE | ID: mdl-25099881

RESUMO

BACKGROUND: Using the Android platform as a notification instrument for diseases and disorders forms a new alternative for computerization of epidemiological studies. OBJECTIVE: The objective of our study was to construct a tool for gathering epidemiological data on schistosomiasis using the Android platform. METHODS: The developed application (app), named the Schisto Track, is a tool for data capture and analysis that was designed to meet the needs of a traditional epidemiological survey. An initial version of the app was finished and tested in both real situations and simulations for epidemiological surveys. RESULTS: The app proved to be a tool capable of automation of activities, with data organization and standardization, easy data recovery (to enable interfacing with other systems), and totally modular architecture. CONCLUSIONS: The proposed Schisto Track is in line with worldwide trends toward use of smartphones with the Android platform for modeling epidemiological scenarios.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA