Enabling Syndromic Surveillance in Pakistan

Authors

  • Ross Maciejewski Computer Science, Arizona State University
  • Shehjad Afzal Purdue University
  • Adam J. Fairfield Computer Science, Arizona State University
  • Arif Ghafoor Purdue University
  • David S. Ebert Purdue University
  • Naeem Ayyaz University of Engineering and Technology
  • Maaz Ahmed King Edward Medical University

DOI:

https://doi.org/10.5210/ojphi.v5i1.4393

Abstract

This work presents our first steps in developing a Global Real-time Infectious Disease Surveillance System (GRIDDS) employing robust and novel infectious disease epidemiology models with real-time inference and pre/exercise planning capabilities for Lahore, Pakistan. The objective of this work is to address the infectious disease surveillance challenges (specific to developing countries such as Pakistan) and develop a collaborative capability for monitoring and managing outbreaks of natural or manmade infectious diseases in Pakistan.

Author Biography

Ross Maciejewski, Computer Science, Arizona State University

Ross Maciejewski is currently an Assistant Professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering. Prior to this, he served as a Visiting Assistant Professor at Purdue University and worked at the Department of Homeland Security Center of Excellence for Command Control and Interoperability in the Visual Analytics for Command, Control, and Interoperability Environments (VACCINE) group. His interests include visual analytics, syndromic surveillance, data mining and computer graphics.

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Published

2013-03-23

How to Cite

Maciejewski, R., Afzal, S., Fairfield, A. J., Ghafoor, A., Ebert, D. S., Ayyaz, N., & Ahmed, M. (2013). Enabling Syndromic Surveillance in Pakistan. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4393

Issue

Section

Poster Presentations