An online system for bioterrorism surveillance

dc.contributor.advisor Leslie Miller
dc.contributor.advisor Shashi Gadia
dc.contributor.advisor James Roth
dc.contributor.author Yahya, Melissa
dc.contributor.department Computer Science
dc.date 2018-08-23T07:23:46.000
dc.date.accessioned 2020-06-30T07:40:20Z
dc.date.available 2020-06-30T07:40:20Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2008
dc.date.issued 2008-01-01
dc.description.abstract <p>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.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/14906/
dc.identifier.articleid 15905
dc.identifier.contextkey 7008066
dc.identifier.doi https://doi.org/10.31274/rtd-180813-16052
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/14906
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/68484
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/14906/1450150.PDF|||Fri Jan 14 20:28:37 UTC 2022
dc.subject.disciplines Computer Sciences
dc.subject.keywords Computer science
dc.title An online system for bioterrorism surveillance
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.level thesis
thesis.degree.name Master of Science
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