Rapid Dengue and Outbreak Detection with Mobile Systems and Social Networks
Rapid Dengue and Outbreak Detection with Mobile Systems and Social Networks
复制标题
DOI：
10.1007/s11036-011-0295-5
复制
发表时间：
2012-04-01
影响因子：
3.8
通讯作者：
Massey, Tammara
中科院分区：
文献类型：
--
作者：
Matthews, Jerrid;Kulkarni, Rajan;Massey, Tammara
登革热是一种主要通过蚊子叮咬传播的疾病。已经制定了创新的解决方案来应对疫情。然而，在发展中国家，这些登革热检测解决方案往往负担不起，也不容易获得。此外，这些传统方法诊断和治疗登革热的速度很慢。我们提出了一种登革热检测解决方案，该解决方案使用手机中的视觉传感器，一种轻量级的对象识别算法，以及一个为医疗保健提供者提供空间信息的Web服务器。我们的系统利用了由哈佛大学化学系的研究人员开发的新颖的基于纸的技术（Martinez等Angew Chem Int艾德46：1318-1320，2007）。我们的登革热检测算法可以快速诊断登革热，将结果传输到疾病控制中心（CDC）进行进一步分析，并向医疗保健提供者提供有关疫情的空间信息。这种新方法可以通过准确、经济地检测登革热并向疾病预防控制中心提供数据来监测登革热流行病，从而改善发展中国家的生活质量。
Dengue is a disease transmitted primarily through mosquito bites. Innovative solutions have been developed to combat outbreaks. However, in developing countries these dengue detection solutions are often not affordable and easily accessible. Additionally, these traditional approaches are slow to diagnose and treat dengue. We present a dengue detection solution that uses vision sensors in cellular phones, a lightweight object identification algorithm, and a web server that provides spatial information to healthcare providers. Our systems leverages a novel paper based technology developed by researchers at the Harvard University Department of Chemistry (Martinez et al. Angew Chem Int Ed 46:1318-1320, 2007). Our dengue detection algorithm rapidly diagnoses dengue, transmits the results to the Center for Disease Control (CDC) for further analysis, and presents healthcare providers with spatial information on outbreaks. This novel approach can improve the quality of life in developing countries by accurately and economically detecting dengue and providing data to the CDC for monitoring of dengue epidemics.