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Dept. Seminar - Peihua Qiu

Nov 4, 2019 - 4:10 PM
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Peihua Qiu, U. Florida

 

 

Modeling and Monitoring Spatio-Temporal Disease Incidence Rate Data

 

Infectious diseases and other deadly diseases put a great threat to the public health and safety of our society. Thus, effective modeling and monitoring of the incidence rates of these deadly diseases becomes critically important for early detection of the disease outbreaks so that government agencies can implement proper interventions in a timely manner to minimize the damage. To this end, some global, national and regional disease reporting systems have been developed for collecting spatio-temporal disease incidence data. Such data, however, are often challenging to analyse properly due to their complicated data structure, including the complex spatial variation, seasonality and other temporal patterns, and spatio-temporal data correlation. In this talk, I will present some of our recent research on modeling and monitoring of spatio-temporal disease incidence rate data. Our methods are based on nonparametric spatio-temporal regression. They are designed to be flexible to accommodate the complex data structure. Both theoretical arguments and numerical studies show that they work well in different cases.

 

 


Refreshments at 3:45pm in Snedecor 2101.