JSM 2005 - Toronto

Abstract #303091

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 366
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303091
Title: Modeling a Computer Virus Epidemic
Author(s): Lawrence Lessner*+ and Sanjay Goel
Companies: SUNY/NYS Department of Health and University at Albany, SUNY
Address: 26 Wilan Lane, Albany, NY, 12203, United States
Keywords: epidemic ; model
Abstract:

Presented here is a model for the spread of a virus in a network of computers. There are three states: susceptible, infected, and immune. The infection process is descretized, and the model uses combinatoric probability to obtain the expected number of new infections in each time step. The model provides a realistic method to define a simple epidemic, easily simulated, and a way to verify the use of differential equation models. While the initial model is homogeneous with respect to adequate contact and the choice of contacts, subsequent models will be more general. Addressed here are the effect of an intervention and the issues about the effectiveness of an intervention. This is a good model to introduce how an epidemic works either in a computer network or human system.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005