Title :
Indoor Air Monitoring Platform and Personal Health Reporting System: Big Data Analytics for Public Health Research
Author :
Kin-Fai Ho ; Hirai, Hoyee W. ; Yong-Hong Kuo ; Meng, Helen M. ; Tsoi, Kelvin K. F.
Author_Institution :
Sch. of Public Health & Primary Care, Chinese Univ. of Hong Kong, Hong Kong, China
Abstract :
Air pollution poses an increased risk for respiratory infections and lung cancer. Monitoring systems on air pollution are common for outdoor environment. In this study, our focus is on the air monitoring in household environment and connects it to a personal health reporting system through a mobile APP. Data will be captured and stored in the cloud so as to improve computational efficiency and enhance data storage capacity. Pollution data can be captured hourly year round, hence a sizeable data storage is needed in the cloud. Health statuses can be uploaded through a self-reporting system, so the data can supply useful information for other healthcare studies, and related urban planning in the future. Furthermore, data analytics based on pollution data can help identify highly polluted areas at different time points. These data are useful for the development of alert systems that can remind individuals to take personal precautions to avoid inhaling pollutants. Such alert systems are applicable to households, commercial buildings and public areas. Accumulated data on this cloud platform can support data mining in search of connections between air pollution and health outcomes, which can fuel research studies in the field of public health.
Keywords :
Big Data; air pollution; cloud computing; data analysis; data mining; environmental science computing; health care; medical information systems; mobile computing; Big Data analytics; air pollution; alert systems development; cloud platform; computational efficiency; data mining; data storage capacity; health outcomes; health statuses; healthcare; household environment; indoor air monitoring platform; lung cancer; mobile app; monitoring systems; outdoor environment; personal health reporting system; public health research; respiratory infections; self-reporting system; urban planning; Air pollution; Mobile communication; Monitoring; Sensors; Servers; Air Pollution; Data Mining; Date Capturing Platform; Personal Heath;
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
DOI :
10.1109/BigDataCongress.2015.51