Degree Type

Thesis

Date of Award

2008

Degree Name

Master of Science

Department

Computer Science

First Advisor

Leslie Miller

Second Advisor

Shashi Gadia

Third Advisor

James Roth

Abstract

Bioterrorism has become one of the greatest threats for nations. As bioterrorism threats are increasing these days, research in bioterrorism surveillance has been conducted to detect the threats at the earliest time. Following this research, some bioterrorism surveillance systems have been developed. Some of these systems use humans as indicators and the others use animals. Both of these systems detect the threats by collecting and analyzing the statistical data on health trends. Since most bio-weapons start as animal diseases, using animals as indicators allow identification of a bioterrorism threat at earlier time than using humans.;Current bioterrorism surveillance systems based on animals focus only on certain groups of animal species while there are other animal species that are also very susceptible to the highly-threatening diseases. The system introduced here provides a step towards the identification of highly-threatening diseases in animal species, such as cattle and pigs. In the event of such identification, a red flag is raised and related information is sent to agents responsible for looking into the threats in more detail. The design, implementation and result of this system are given and explained.

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

Melissa Yahya

Language

en

Proquest ID

AAI1450150

OCLC Number

230749936

ISBN

9780549422303

File Format

application/pdf

File Size

70 pages

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