Indoor Air Monitoring Platform and Personal Health Reporting System Big Data Analytics for Public Health Research

被引:11
|
作者
Ho, Kin-Fai [1 ]
Hirai, Hoyee W. [1 ,2 ]
Kuo, Yong-Hong [2 ]
Meng, Helen M. [2 ,3 ]
Tsoi, Kelvin K. F. [1 ,2 ]
机构
[1] Chinese Univ Hong Kong, Sch Publ Hlth & Primary Care, Hong Kong, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Stanley Ho Big Data Decis Analyt Res Ctr, Hong Kong, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
关键词
Air Pollution; Personal Heath; Data Mining; Date Capturing Platform;
D O I
10.1109/BigDataCongress.2015.51
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:309 / 312
页数:4
相关论文
共 50 条
  • [21] A Research on Big Data Prototype System for Monitoring College Students' Mental Health
    Zhang Jiaming
    Rui Xiaoli
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, 2015, : 1418 - 1423
  • [22] Big Data Analytics in Health: an overview and bibliometric study of research activity
    Galetsi, Panagiota
    Katsaliaki, Korina
    HEALTH INFORMATION AND LIBRARIES JOURNAL, 2020, 37 (01): : 5 - 25
  • [23] Use of big data for drug development and for public and personal health and care
    Leyens, Lada
    Reumann, Matthias
    Malats, Nuria
    Brand, Angela
    GENETIC EPIDEMIOLOGY, 2017, 41 (01) : 51 - 60
  • [24] HOW BIG DATA ANALYTICS AND AI CAN IMPROVE PUBLIC HEALTH POLICIES
    Maglogiannis, Ilias
    TURKISH POLICY QUARTERLY, 2021, 20 (04):
  • [25] BIGSEA: A Big Data analytics platform for public transportation information
    Alic, Andy S.
    Almeida, Jussara
    Aloisio, Giovanni
    Andrade, Nazareno
    Antunes, Nuno
    Ardagna, Danilo
    Badia, Rosa M.
    Basso, Tania
    Blanquer, Ignacio
    Braz, Tarciso
    Brito, Andrey
    Elia, Donatello
    Fiore, Sandro
    Guedes, Dorgival
    Lattuada, Marco
    Lezzi, Daniele
    Maciel, Matheus
    Meira Jr, Wagner
    Mestre, Demetrio
    Moraes, Regina
    Morais, Fabio
    Pires, Carlos Eduardo
    Kozievitch, Nadia P.
    dos Santos, Walter
    Silva, Paulo
    Vieira, Marco
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 96 : 243 - 269
  • [26] Establishment of a Big Data Monitoring Platform for Cinema Opening in the Postepidemic Era from the Perspective of Public Health
    Wei, Qi
    Zhao, Nan
    JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH, 2022, 2022
  • [27] Big Data Opportunities: System Health Monitoring and Management
    Tsui, Kwok Leung
    Zhao, Yang
    Wang, Dong
    IEEE ACCESS, 2019, 7 : 68853 - 68867
  • [28] Research on public health emergency response system platform
    Li, Q
    Gan, JF
    Qu, YZ
    REMOTE SENSING AND SPACE TECHNOLOGY FOR MULTIDISCIPLINARY RESEARCH AND APPLICATIONS, 2006, 6199
  • [29] AI and Big Data Analytics for Health and Bioinformatics
    Kwoh, Chee Kcong
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SYSTEMS-BIOLOGY AND BIOINFORMATICS (CSBIO 2017), 2017, : 1 - 1
  • [30] BIG DATA AND PREDICTIVE ANALYTICS IN HEALTH CARE
    Dhar, Vasant
    BIG DATA, 2014, 2 (03) : 113 - 116