Vol. 4: Abstracts from the 2007 Conference of the International Society for Disease Surveillance
Analytical Methods
Table of Contents
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STL and Local Regression for Modeling Disease Surveillance Counts
David E. Anderson, Cheng Zheng, Ross Maciejewski, Ryan Hafen, William S. Cleveland, David S. Ebert, Mourad Ouzzani, Shaun J. Grannis
81
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Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Armen Asatryan, Haobo Ma, Roseanne English, Jerome Tokars
82
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A Simple Method of Using Linked Health Data in Syndromic Surveillance
Steven M. Babin, Protagoras N. Cutchis, Nathaniel Tabernero, Lang M. Hung, Joseph Lombardo
83
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The Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes
Hwa-Gan Chang, Jian-Hua Chen, Dennis G. Cochrane, John R. Allegra, Kathryn Schmit, Jerome I. Tokars, Perry F. Smith
84
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Extensibility in Semantic Web Description of Syndromic Surveillance Systems
Bradley D. Chruszcz, Deborah A. Stacey
85
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A Space Time Permutation Scan Statistic with Irregular Shape for Disease Outbreak Detection
Marcelo A. Costa, Martin Kulldorff, Renato M. Assuncao
86
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Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data
Samantha F. De Leon, Nicholas Soulakis, Farzad Mostashari
87
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Dual Graph Spatial Cluster Detection for Syndromic Surveillance in Networks
Luiz Duczmal, Gladston J. P. Moreira, Sabino J. Ferreira Neto, Ricardo H.C. Takahashi
88
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Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distributions
James Edgerton, Howard Burkom, Michael Leuze
89
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Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Yevgeniy Elbert, Howard S. Burkom, Sean P. Murphy, Galit Shmueli
90
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Use of Google Earth to Faciliate GIS-Based Decision Support Systems for Arthropod-Borne Diseases
Saul Lozano-Fuentes, Darwin Elizondo-Quiroga, Jose Arturo Faran-Ale, Ildefonso Fernandez-Salas, Barry J. Beaty, Lars Eisen
91
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Sensibility and Specificity of Syndromic System for Influenza Based on General Practitioners Network in Gironde, France
G. Gault, S. Larrieu, Loic J. Josseran, B. Jouves, L. Filleul
92
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Correlation Between HL-7 Microbiology and Pharmacy Out Patient Data: A Case Study Using Influenza
Amanda K. Goodin, Gosia Kubiak, Craig Nash, Asha Riegodedios
93
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Data Integration and Analytics within the National Bio-Surveillance Integration System
Nancy Grady, Jim Jones, Lowell Vizenor, Joe Dudley, Jeanne Marin, Anne Havey, Tom Sabo n@n, Ray Champoux, Robert Hogan, Dennis Beal, Laura Peitersen, Jean Orr, Karl Kropp, Kimothy Smith
94
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Defining Clinical Condition Categories for Biosurveillance
Craig Hales, Carol Sniegoski, Jacqueline Coberly, Jerome Tokars
95
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Surveillance Zones: Geographic Aggregation of Syndromic Data for Improved Response
Melissa Halm, Mary Carvalho, Anthony Eshofonie, Debo Awosika-Olumo, Raouf Arafat
96
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Advanced Querying Features for Disease Surveillance Systems
Mohammad Hashemian, Wayne Loschen, Joseph Lombardo, Colleen Martin, Sanjeev Thomas, Jerome I. Tokars, Jacqueline Coberly
97
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Bayesian Network Data Fusion Visualization
Charles Hodanics
98
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Construction of an Indicator for Syndromic Surveillance of Gastroenteritis using Data from a General Practitioner Network, Bordeaux, France
A. Jaquet, C. Flamand, B. Jouve, L. Filleul
99
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Exception Reporting Systems for 'Flu Like' Syndromes in Scotland
Kimberley Kavanagh, Chris Robertson, Jim McMenamim
100
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Structured Information Sharing in Disease Surveillance Systems
Wayne Loschen, Carol Sniegoski, Jacqueline Coberly, Nathaniel Tabernero, Joe Lombardo
101
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Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources
El Sayed Mahmoud, David Calvert
102
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Distributed Multi-agent Architecture for Decision Support in Public Health Networks
Z. Mnatsakanyan
103
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Delineating Spatial Clusters with Artificial Neural Networks
Gladston J. P. Moreira, Ricardo H.C. Takahashi, Luiz Duczmal
104
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Recursive Least Squares Prediction of Syndromic Data for Surveillance
A. H. Najmi
105
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A Nonparametric Scan Statistic for Multivariate Disease Surveillance
Daniel B. Neill, Jeff Lingwall
106
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Incorporating Learning into Disease Surveillance Systems
Daniel B. Neill
107
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Minimizing False Alarms in Syndromic Surveillance
William Peter, Amir H. Najmi, Howard Burkom
108
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Correlation between Real-Time BioSense Influenza Indicators and Data from the U.S. Influenza Sentinal Physicians Surveillance Network
Michelle N. Podgornik, Roseanne English, Jerome I. Tokars
109
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Designing Epidemiological Networks for Real-world Surveillance Settings
Ben Y. Reis, Kenneth D. Mandl
110
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Learning Specific Detectors of Adverse Events in Multivariate Time Series
Josep Roure, Artur Dubrawksi, Jeff Schneider
111
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Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Maheshkumar Sabhnani, Artur Dubrawski, Jeff Schneider
112
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An Outbreak Detection Algorithm that Efficiently Performs Complete Bayesian Model Averaging Over All Possible Spatial Distributions of Disease
Yanna Shen, Weng-Keen Wong, John D. Levander, Gregory F. Cooper
113
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Syndromic Surveillance Case Definition Development Using Recursive Partitioning Techniques for Highly Dimensional Databases
Nicholas Soulakis, Farzad Mostashari, George Hripcsak
114
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Surveillance Investigation Tool Development Targeted for Results
David J. Swenson, Christopher Taylor, John Southworth, Ken Dufault
115
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A Scan Statistic Based on Anscombe's Variance Stabilization Transformation
Kunihiko Takahashi, Toshiro Tango
116
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A Spatial Scan Statistic Scanning Only the Regions with Elevated Risk
Toshiro Tango
117
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Earliest Event Detection: A Unique Approach Combining Syndromic Surveillance with Data Mining
Christopher S. Taylor
118
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A Nationwide Geo-Referenced Synthesized Agent Database for Infectious Disease Models
W. D. Wheaton, Bernadette Chasteen, James C. Cajka, Justine Allpress, Philip C. Cooley, Laxminarayana Ganapathi, Joseph G. Pratt
119
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Evaluation of Spatial Estimation Methods for Cluster Detection
Jian Xing, Howard Burkom, Michael Leuze, James Edgerton, John Copeland, Steve Bloom, Jerome Tokars
121
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Performance Characteristics of Control Chart Detection Methods
Jian Xing, Howard Burkom, John Copeland, Steve Bloom, Lori Hutwanger, Jerome Tokars
122
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Automatic Foot-and-Mouth Disease (FMD) New Monitoring and Classification
Yulei Zhang, Chunju Tseng, Yan Deng, Hsinchun Chen, Catherine A. Larson, Zack Whedbee, Andres Perez, Mark Thurmond
123
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