Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation

Min Zhang; Xiaohui Kong; Garrick L. Wallstrom

doi:10.1007/978-3-540-89746-0_15

Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation

Min Zhang, Xiaohui Kong, Garrick L. Wallstrom

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.

Original language	English (US)
Title of host publication	Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings
Pages	155-163
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-540-89746-0_15
State	Published - 2008
Externally published	Yes
Event	International Workshop on Biosurveillance and Biosecurity, BioSecure 2008 - Raleigh, NC, United States Duration: Dec 2 2008 → Dec 2 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5354 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Workshop on Biosurveillance and Biosecurity, BioSecure 2008
Country/Territory	United States
City	Raleigh, NC
Period	12/2/08 → 12/2/08

Keywords

Multivariate biosurveillance data
Outbreak simulation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-89746-0_15

Cite this

Zhang, M., Kong, X., & Wallstrom, G. L. (2008). Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. In Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings (pp. 155-163). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5354 LNBI). https://doi.org/10.1007/978-3-540-89746-0_15

Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. / Zhang, Min; Kong, Xiaohui; Wallstrom, Garrick L.
Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings. 2008. p. 155-163 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5354 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, M, Kong, X & Wallstrom, GL 2008, Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. in Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5354 LNBI, pp. 155-163, International Workshop on Biosurveillance and Biosecurity, BioSecure 2008, Raleigh, NC, United States, 12/2/08. https://doi.org/10.1007/978-3-540-89746-0_15

Zhang M, Kong X, Wallstrom GL. Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. In Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings. 2008. p. 155-163. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-89746-0_15

Zhang, Min ; Kong, Xiaohui ; Wallstrom, Garrick L. / Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings. 2008. pp. 155-163 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{213b4d30ce5c47dab5417cecceab5c64,

title = "Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation",

abstract = "We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.",

keywords = "Multivariate biosurveillance data, Outbreak simulation",

author = "Min Zhang and Xiaohui Kong and Wallstrom, {Garrick L.}",

year = "2008",

doi = "10.1007/978-3-540-89746-0_15",

language = "English (US)",

isbn = "3540897453",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "155--163",

booktitle = "Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings",

note = "International Workshop on Biosurveillance and Biosecurity, BioSecure 2008 ; Conference date: 02-12-2008 Through 02-12-2008",

}

TY - GEN

T1 - Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation

AU - Zhang, Min

AU - Kong, Xiaohui

AU - Wallstrom, Garrick L.

PY - 2008

Y1 - 2008

N2 - We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.

AB - We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.

KW - Multivariate biosurveillance data

KW - Outbreak simulation

UR - http://www.scopus.com/inward/record.url?scp=58549097851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58549097851&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-89746-0_15

DO - 10.1007/978-3-540-89746-0_15

M3 - Conference contribution

AN - SCOPUS:58549097851

SN - 3540897453

SN - 9783540897453

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 155

EP - 163

BT - Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings

T2 - International Workshop on Biosurveillance and Biosecurity, BioSecure 2008

Y2 - 2 December 2008 through 2 December 2008

ER -

Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this