A Complex Systems Approach to Infectious Disease Surveillance and Response

摘要: The transmission of infectious diseases can be affected by various interactive factors at or across different scales, such as environmental (e.g., temperature) and physiological immunity). In view this, to effectively efficiently monitor response an disease, it would necessary for us systematically model these their impacts on disease transmission. this paper, we propose a complex systems approach surveillance that puts special emphasis modeling policy-level decision making with consideration multi-scale and/or data prevalence. We demonstrate the implementation our presenting two real-world studies, one air-borne influenza epidemic in Hong Kong other vector-borne malaria endemic Yunnan, China.