This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 592
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #307204
Title: Estimating Transmission Rates on a Network
Author(s): Rachel Schutt*+ and Regina Dolgoarshinnykh
Companies: Google and Columbia University
Address: , , ,
Keywords: network ; epidemic ; transmission rates ; MRSA
Abstract:

Propagation of infectious diseases though a network of individuals is hard to observe in complete detail. The time of individual infection is the type of data that is particularly difficult to obtain. Instead, we may observe a network of individuals at discrete time points together with their disease status. This work is motivated by such data, where the network is assumed to be static. Imputing the transmission paths we are able to derive estimates for transmission rates that are allowed to depend on the nodal qualities. We perform a simulation study of the method describing the situations when he method works well. We apply this method to a data set from New York-Presbyterian Hospital / Columbia University Medical Center. The data describes the spread of methicillin-resistant Staphylococcus aureus (MRSA) in the Neonatal Intensive Care Unit.

This is work done while at Columbia.


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