Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

A complex systems approach to infectious disease surveillance and response

Language

English

Abstract

The transmission of infectious diseases can be affected by various interactive factors at or across different scales, such as environmental factors (e.g., temperature) and physiological factors (e.g., immunity). In view of this, to effectively and efficiently monitor and response to an infectious disease, it would be necessary for us to systematically model these factors and their impacts on disease transmission. In this paper, we propose a complex systems approach to infectious disease surveillance and response that puts a special emphasis on complex systems modeling and policy-level decision making with consideration of multi-scale interactive factors and/or surveillance data of disease prevalence. We demonstrate the implementation of our approach by presenting two real-world studies, one on the air-borne influenza epidemic in Hong Kong and the other on the vector-borne malaria endemic in Yunnan, China. © Springer International Publishing 2013.

Keywords

Complex systems modeling, Data-driven computational intelligence, Policy-level decision making

Publication Date

2013

Source Publication Title

International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings

Start Page

524

End Page

535

Conference Location

Maebashi, Japan

Publisher

Springer International Publishing

DOI

10.1007/978-3-319-02753-1_53

ISBN (print)

9783319027524

ISBN (electronic)

9783319027531

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