Date of Award
2013
Degree Type
Thesis
Degree Name
Master of Science in Electrical and Computer Engineering (MSECE)
Department
Electrical and Computer Engineering
Committee Chair
Arif Ghafoor
Committee Member 1
Walid G. Aref
Committee Member 2
Yung-Hsiang Lu
Abstract
Public health-care data possess spatio-temporal features and it evolves with time. For example, patient count visiting an ER in a hospital evolves with time. Clustering of such input data patterns into different groups over a certain temporal duration is useful for the purpose of health-care surveillance purpose. The objective of this study is to visualize and analyze these data patterns to get an insight into data characteristics for the purpose of the health-surveillance and to correlate these findings with the possible reasons for epidemic spread. The dynamics of this spatio-temporal pattern analysis is useful for epidemic spread surveillance in large metropolitan cities consisting of multiple towns or regions as it shows both the growth and movement of disease trend patterns over a certain time which is ultimately useful for disease cure and prevention measure. We further correlate these outcomes with demographic and weather data distribution pattern over a certain period of time.
Recommended Citation
Arshad, Amana, "Statistical And Visual Analysis Of Spatio-Temporal Dynamics Of Dengue Fever Epidemic" (2013). Open Access Theses. 6.
https://docs.lib.purdue.edu/open_access_theses/6