FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers via Mobile Phones
Lwin, May Oo
Yung, Chee Fu
Jayasinghe, Udeepa Gayantha
Chai, Siaw Ching
Ang, Brenda Sze Peng
Date of Issue2017
Wee Kim Wee School of Communication and Information
Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore’s pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones. The system, integrating a fully responsive web-based interface and a mobile interface, is made available to HCW using various types of mobile devices and web browsers. Real-time data generated from FluMob will be complementary to current health-care- and laboratory-based systems. This paper describes the development of FluMob, as well as challenges faced in the creation of the system.
Frontiers in Public Health
© 2017 Lwin, Yung, Yap, Jayasundar, Sheldenkar, Subasinghe, Foo, Jayasinghe, Xu, Chai, Kurlye, Chen and Ang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.