Zoie S Y Wong1, Jiaqi Zhou2, Qingpeng Zhang2. 1. Graduate School of Public Health, St. Luke's International University, Tokyo, 104-0045, Japan. Electronic address: zoiesywong@gmail.com. 2. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China.
Abstract
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the advancement of information and communications technology and the data collection systems now in place. METHODS: This paper aims to highlight the opportunities gained through the use of Artificial Intelligence (AI) methods to enable reliable disease-oriented monitoring and projection in this information age. RESULTS AND CONCLUSION: It is foreseeable that together with reliable data management platforms AI methods will enable analysis of massive infectious disease and surveillance data effectively to support government agencies, healthcare service providers, and medical professionals to response to disease in the future.
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the advancement of information and communications technology and the data collection systems now in place. METHODS: This paper aims to highlight the opportunities gained through the use of Artificial Intelligence (AI) methods to enable reliable disease-oriented monitoring and projection in this information age. RESULTS AND CONCLUSION: It is foreseeable that together with reliable data management platforms AI methods will enable analysis of massive infectious disease and surveillance data effectively to support government agencies, healthcare service providers, and medical professionals to response to disease in the future.
Authors: Sina Akbarian; Mark P Nelder; Curtis B Russell; Tania Cawston; Laurent Moreno; Samir N Patel; Vanessa G Allen; Elham Dolatabadi Journal: IEEE J Transl Eng Health Med Date: 2021-12-30
Authors: Nicola Luigi Bragazzi; Haijiang Dai; Giovanni Damiani; Masoud Behzadifar; Mariano Martini; Jianhong Wu Journal: Int J Environ Res Public Health Date: 2020-05-02 Impact factor: 3.390