Android and ODK based data collection framework to aid in epidemiological analysis.
Android and ODK based data collection framework to aid in epidemiological analysis.
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DOI：
10.5210/ojphi.v5i3.4996
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发表时间：
2014
影响因子：
--
通讯作者：
Pribadi K
中科院分区：
文献类型：
--
作者：
Raja A;Tridane A;Gaffar A;Lindquist T;Pribadi K
定期收集现场数据，分析和解释数据是良好医疗服务的关键。随后的决策者利用这些数据来确认预防措施，向受影响者提供及时的支持，并帮助衡量其干预措施的效果。虽然发达国家更容易获得良好的疾病监测和积极主动的保健所需的资源，但发展中国家缺乏这些资源可能会影响所提供服务的质量。这一点加上某些疾病的危急性质，使其成为一个必须解决的重要问题。发达国家和发展中国家利用手机使用和相关基础设施的快速增长，建立了若干系统，以弥补数据收集方面的差距。Android作为一个开源平台，在这方面已经获得了相当大的普及。开放数据包就是为协助数据收集而开发的一种工具。本文的目的是提出一个原型框架，使用一些现有的工具和技术来解决季节性流感（通常称为流感）的数据收集问题。
Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the resources required for good disease surveillance and proactive healthcare are available more readily in developed countries, the lack of these in developing countries may compromise the quality of service provided. This combined with the critical nature of some diseases makes this an essential issue to be addressed. Taking advantage of the rapid growth of cell phone usage and related infrastructure in developed as well as developing countries, several systems have been established to address the gaps in data collection. Android, being an open sourced platform, has gained considerable popularity in this aspect. Open data kit is one such tool developed to aid in data collection. The aim of this paper is to present a prototype framework built using few such existing tools and technologies to address data collection for seasonal influenza, commonly referred to as the flu.