Android-based Disease Monitoring

W. C. Kok, J. Labadin, -. Mohammad, Kok Siong. Wong, Yei Ling Chang
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引用次数: 3

Abstract

Intensive worldwide effort is speeding up the developments in the establishment of a global surveillance network for combating pandemics of emerging infectious disease. However, there is no delivery platform available to send accurate and just-in-time disease information to reach out to the community. The public can only obtain information from the newspaper, radio or social media, which sometimes may not be an accurate information and can be classified as rumors. An android-based disease monitoring system has been implemented with a strong predictive model to help create awareness in our community. This monitoring system consists of 2 parts which are (i) Online Communicable Disease Monitoring System and (ii) Android-based monitoring application. In Malaysia, public health department utilizes Communicable Disease Control Information System to collect data and monitor diseases. However, the current system only collects the data from an authorized medical personnel but not utilizes the data to help the decision makers to access and monitor the spread of disease. The proposed system aimed to enhance the current system by providing better data visualization and incorporate forecasting component by using a mathematical model. Hand, Foot and Mouth Disease (HFMD) is used as a case study to demonstrate the system. Through the mobile application, the public user can be informed with real-time epidemic disease information from the proposed system.
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基于android的疾病监测
全世界正在加紧努力,加快建立一个全球监测网络,以防治新出现的传染病大流行。然而,目前还没有提供平台,将准确和及时的疾病信息发送到社区。公众只能从报纸、广播或社交媒体上获得信息,这些信息有时可能不是准确的信息,可以归类为谣言。基于机器人的疾病监测系统已经实施,具有强大的预测模型,以帮助我们的社区提高认识。本监测系统由2部分组成,即传染病在线监测系统和基于android的监测应用。在马来西亚,公共卫生部门利用传染病控制信息系统收集数据和监测疾病。然而,目前的系统只从授权的医务人员那里收集数据,而没有利用这些数据来帮助决策者获取和监测疾病的传播。该系统旨在通过提供更好的数据可视化来改进现有系统,并通过使用数学模型纳入预测部分。以手足口病(HFMD)为案例研究来演示该系统。通过移动应用程序,公众用户可以实时了解该系统的疫情信息。
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