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Volume 8, Issue 4 (Suppl)

J Health Med Inform, an open access journal

ISSN: 2157-7420

Medical Informatics 2017

August 31- 01 September, 2017

August 31- 01 September, 2017 | Prague, Czech Republic

5

th

International Conference on

Medical Informatics & Telemedicine

J Health Med Informat 2017, 8:4 (Suppl)

DOI: 10.4172/2157-7420-C1-019

NETWORK SCIENCE IN DISASTERAND PUBLIC HEALTH PREPAREDNESS

Liaquat Hossain

a

and

Shihui Feng

a

a

University of Hong Kong, Hong Kong

N

etwork science provides us with theoretical and methodological foundations drawn from physics, graph theory, sociology

and social psychology to make sense of various complex systems in disaster and public health preparedness. Disaster

and public health preparedness is a collective action conducted by a group of individuals and organizations, in which

information and communication flow frommulti levels becomes critical to the functioning of the complex systems. Awareness

of locally situated knowledge and shared understanding of disasters among public and hierarchical governing systems can be

instrumental in supporting decision making, early warning and outbreak detection. Network science enables us to analyze the

underlying structures and model the dynamics of networks representative of real-world systems in disasters. From this, we can

examine the effectiveness of disaster management, monitor public awareness, achieve early recognition of disaster occurrence,

and enhance the robustness of response systems. Data availability provided by digital evolution can further promote the study

of large scale network in disaster at local and global level. Our proposition is here to suggest effective strategies using network

science to study social and organizational systems at play in disaster preparedness and response. In our presentation, we will

discuss a series of work related to modelling social systems for detecting early warning signs, improving our understanding

of locally situated information of disaster affected areas, and supporting communication and collaboration across public and

hierarchical governing systems.