Re: [SwarmFest2004] Abstract submission

[Rick Riolo]

hi kristen,
ok, we have your abstract, thanks!
 - r

Rick Riolo                           address@hidden
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab
University of Michigan         Ann Arbor MI 48109-1120
Phone: 734 763 3323                  Fax: 734 763 9267
http://cscs.umich.edu/~rlr

On Wed, 31 Mar 2004, Kristen M Hassmiller wrote:

> Date: Wed, 31 Mar 2004 15:20:08 -0500 (EST)
> From: Kristen M Hassmiller <address@hidden>
> To: address@hidden
> Subject: [SwarmFest2004] Abstract submission
>
> I am submitting an abstract for a poster presentation.  I would consider
> giving a talk, should you prefer.  Please let me know if I can provide any
> additional information.
>
> Kristen Hassmiller, MHSA
> Doctoral Candidate
> Department of Health Management and Policy
> School of Public Health
> University of Michigan
>
> Email: address@hidden
> Daytime phone: (734)936-0939
> Cell: (330)329-7455
> Title: Constructing and Agent-Based Model of the Spread of Tuberculosis
> Abstract:
>
> Traditional models of the spread of disease assume perfect mixing.  This
> implies that every individual is equally likely to infect any other
> individual.  However this assumption is far from realistic.  Agent-based
> modeling permits investigation of how different epidemics look when the
> social networks tying individuals together differ.
>
> For this poster presentation, I consider the specific case of
> tuberculosis.  I will present preliminary findings on the spread of
> tuberculosis through a simple simulated population with different forms of
> underlying social networks.   Based on work by Watts and Strogatz (Nature,
> 1998), I will consider the spectrum from regular networks, to small world
> networks, to random networks, comparing these to the ABM approximation of
> the traditional mean-field ordinary differential equation model.  I will
> also consider the generation of social networks based on rules of
> interaction (i.e. local employment patterns, educational and
> transportation systems, and military service) such as that used in
> Epstein's ABM smallpox model (Brookings Institution Press, 2004).
>
> I will also discuss methodological issues in making the simple
> tuberculosis model more realistic, including: how to model birth and
> death; updating social networks over time; incorporating heterogeneity of
> agents (which impacts agents' risk of infection, progression to active
> disease, time between active disease and diagnosis, adherence to
> treatment); and the trade-off between simplicity and realism in the model.
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