Welcome to the Era of Systems Epidemiology
This chapter offers a fresh outlook on the latest methodological paradigm in infectious disease epidemiology, i.e., systems epidemiology. Specifically, it introduces the fundamental notion of systems thinking in disease surveillance and control, which pay
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Jiming Liu Shang Xia
Computational Epidemiology From Disease Transmission Modeling to Vaccination Decision Making
Health Information Science Series editor Yanchun Zhang, Victoria University, Melbourne, Victoria, Australia Editorial Board Riccardo Bellazzi, University of Pavia, Italy Leonard Goldschmidt, Stanford University Medical School, USA Frank Hsu, Fordham University, USA Guangyan Huang, Victoria University, Australia Frank Klawonn, Helmholtz Centre for Infection Research, Germany Jiming Liu , Hong Kong Baptist University, Hong Kong Zhijun Liu, Hebei University of Engineering, China Gang Luo, University of Utah, USA Jianhua Ma, Hosei University, Japan Vincent Tseng, National Cheng Kung University, Taiwan Dana Zhang, Google, USA Fengfeng Zhou, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
With the development of database systems and networking technologies, Hospital Information Management Systems (HIMS) and web-based clinical or medical systems (such as the Medical Director, a generic GP clinical system) are widely used in health and clinical practices. Healthcare and medical service are more dataintensive and evidence-based since electronic health records are now used to track individuals’ and communities’ health information. These highlights substantially motivate and advance the emergence and the progress of health informatics research and practice. Health Informatics continues to gain interest from both academia and health industries. The significant initiatives of using information, knowledge and communication technologies in health industries ensures patient safety, improve population health and facilitate the delivery of government healthcare services. Books in the series will reflect technology’s cross-disciplinary research in IT and health/medical science to assist in disease diagnoses, treatment, prediction and monitoring through the modeling, design, development, visualization, integration and management of health related information. These technologies include information systems, web technologies, data mining, image processing, user interaction and interfaces, sensors and wireless networking, and are applicable to a wide range of health-related information such as medical data, biomedical data, bioinformatics data, and public health data. Series Editor: Yanchun Zhang, Victoria University, Australia; Editorial Board: Riccardo Bellazzi, University of Pavia, Italy; Leonard Goldschmidt, Stanford University Medical School, USA; Frank Hsu, Fordham University, USA; Guangyan Huang, Victoria University, Australia; Frank Klawonn, Helmholtz Centre for Infection Research, Germany; Jiming Liu, Hong Kong Baptist University, Hong Kong, China; Zhijun Liu, Hebei University of Engineering, China; Gang Luo, University of Utah, USA; Jianhua Ma, Hosei University, Japan; Vincent Tseng, National Cheng Kung University, Taiwan; Dana Zhang, Google, USA; Fengfeng Zhou, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.
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