Biosurveillance

Matlab Code for Biosurveillance

These Matlab modules below contain procedures for plotting control charts of different types, including ones that are based on wavelets. The functions are designed to be independent of specialized Matlab toolboxes. The code is distributed under the GNU General Public License.

Biosurveillance

Early detection of disease outbreaks has been the focus of recent national efforts. I am currently working on exploring and evaluating univariate and multivariate monitoring methods that can be used to track multiple traditional and non-traditional time series for detecting an outbreak.

Statistics Week @ ASU

Prof Shmueli will present two talks as the guest of Statistics Week at ASU, March 20-21. The topics of the talks are:
1. Statistical Challenges in Modern Biosurveillance,
2. Explanatory vs. Predictive Modeling in Scientific Research.

Talk at ENAR

Prof. Shmueli will present an invited talk on "Automated Time Series Forecasting for Biosurveillance" at the upcoming 2007 ENAR Spring Meeting.

Attacking Biosurveillance Challenges

Prof. Shmueli will talk about "Attacking Biosurveillance Challenges with Statistical Weapons" at the Army Conference on Applied Statistics, October, 2006.

Wavelet-based Monitoring

Prof. Shmueli will present Wavelet-based Monitoring for Biosurveillance at the upcoming SAMSI workshop on Homeland Security.

Code Available

Matlab code for bio-surveillance control charts available for download

Contact

Galit Shmuéli
Associate Professor of Statistics
Dept of Decision, Operations & Information Technologies
4361 Van Munching Hall
Smith School of Business
University of Maryland
College Park, MD 20742

Phone: 301-405-9679
Fax: 301-405-8655
gshmueli@rhsmith.umd.edu

counter customizable free hit