ID-Viewer: a visual analytics architecture for infectious diseases surveillance and response management in Pakistan

Public Health
M A AliM N Ayyaz

Abstract

Globally, disease surveillance systems are playing a significant role in outbreak detection and response management of Infectious Diseases (IDs). However, in developing countries like Pakistan, epidemic outbreaks are difficult to detect due to scarcity of public health data and absence of automated surveillance systems. Our research is intended to formulate an integrated service-oriented visual analytics architecture for ID surveillance, identify key constituents and set up a baseline for easy reproducibility of such systems in the future. This research focuses on development of ID-Viewer, which is a visual analytics decision support system for ID surveillance. It is a blend of intelligent approaches to make use of real-time streaming data from Emergency Departments (EDs) for early outbreak detection, health care resource allocation and epidemic response management. We have developed a robust service-oriented visual analytics architecture for ID surveillance, which provides automated mechanisms for ID data acquisition, outbreak detection and epidemic response management. Classification of chief-complaints is accomplished using dynamic classification module, which employs neural networks and fuzzy-logic to categorize syndromes. ...Continue Reading

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Citations

Jan 1, 2020·Health Information and Libraries Journal·Panagiota Galetsi, Korina Katsaliaki
May 2, 2020·JMIR Public Health and Surveillance·Prosper Kandabongee YengGunnar Hartvigsen
Jan 28, 2021·The International Journal of Health Planning and Management·Marsa GholamzadehReza Safdari
Dec 4, 2020·Journal of Medical Internet Research·Jawad Ahmed ChishtieSusan Jaglal

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