Extraction of Disease Occurrence Patterns Using MiSTIC: Salmonellosis in Florida

Authors

  • Vipul Raheja International Institute of Information Technology Hyderabad (IIIT-H)
  • K. S. Rajan International Institute of Information Technology Hyderabad (IIIT-H)

DOI:

https://doi.org/10.5210/ojphi.v5i1.4379

Abstract

In this work, Spatio-Temporal Data Mining of disease surveillance data is done, to describe the underlying patterns in disease occurrences across populations and to identify possible causes that could explain them; for better disease core prediction, detection and management. MiSTIC algorithm is used to determine spatial spread of disease core regions (scale of disease prevalence), and the frequency & regularity of occurrence of different locations in space as disease cores. The results show good correlation between the etiologic factors of Salmonellosis and the detected core locations, in addition to the significant observation of highly localized nature of disease prevalence.

Author Biography

Vipul Raheja, International Institute of Information Technology Hyderabad (IIIT-H)

Vipul Raheja is a first year Masters Student pursuing a Dual-Degree in Computer Science and Engineering at IIIT Hyderabad, India. He works at the Lab for Spatial Informatics under the guidance of Dr. K S Rajan. His primary research direction lies at the intersection of Spatio-Temporal Data Mining and Geographic Information Systems (GIS), and specific interests include their applications in fields like epidemiology for developing novel disease spread detection, surveillance and management techniques. Dr. K S Rajan is an Associate Professor at IIIT, Hyderabad. He heads the lab for Spatial Informatics at IIIT Hyderabad. His major academic and research interests lie in the field of (Geo-) Spatial Technologies - GIS and Remote Sensing; and in multi-disciplinary research focused on environmental modeling. He has more than 60 publications in Books, Journals and Conferences and has given close to 50 invited talks. He is the founder member and treasurer of the OpenSource Geospatial Foundation of India (OSGeo-India) and is the Advisor of Swecha, and Executive Committee Member of FSMI - Free Software Movement of India.

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Published

2013-03-21

How to Cite

Raheja, V., & Rajan, K. S. (2013). Extraction of Disease Occurrence Patterns Using MiSTIC: Salmonellosis in Florida. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4379

Issue

Section

Oral Presentations: Data Quality and Underlying Patterns in Data Streams