Vol. 4: Abstracts from the 2007 Conference of the International Society for Disease Surveillance

Analytical Methods

Table of Contents


Page
Article
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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
Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Armen Asatryan, Haobo Ma, Roseanne English, Jerome Tokars
82
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
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
Extensibility in Semantic Web Description of Syndromic Surveillance Systems
Bradley D. Chruszcz, Deborah A. Stacey
85
A Space Time Permutation Scan Statistic with Irregular Shape for Disease Outbreak Detection
Marcelo A. Costa, Martin Kulldorff, Renato M. Assuncao
86
Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data
Samantha F. De Leon, Nicholas Soulakis, Farzad Mostashari
87
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
Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distributions
James Edgerton, Howard Burkom, Michael Leuze
89
Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Yevgeniy Elbert, Howard S. Burkom, Sean P. Murphy, Galit Shmueli
90
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
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
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
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
Defining Clinical Condition Categories for Biosurveillance
Craig Hales, Carol Sniegoski, Jacqueline Coberly, Jerome Tokars
95
Surveillance Zones: Geographic Aggregation of Syndromic Data for Improved Response
Melissa Halm, Mary Carvalho, Anthony Eshofonie, Debo Awosika-Olumo, Raouf Arafat
96
Advanced Querying Features for Disease Surveillance Systems
Mohammad Hashemian, Wayne Loschen, Joseph Lombardo, Colleen Martin, Sanjeev Thomas, Jerome I. Tokars, Jacqueline Coberly
97
Bayesian Network Data Fusion Visualization
Charles Hodanics
98
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
Exception Reporting Systems for 'Flu Like' Syndromes in Scotland
Kimberley Kavanagh, Chris Robertson, Jim McMenamim
100
Structured Information Sharing in Disease Surveillance Systems
Wayne Loschen, Carol Sniegoski, Jacqueline Coberly, Nathaniel Tabernero, Joe Lombardo
101
Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources
El Sayed Mahmoud, David Calvert
102
Distributed Multi-agent Architecture for Decision Support in Public Health Networks
Z. Mnatsakanyan
103
Delineating Spatial Clusters with Artificial Neural Networks
Gladston J. P. Moreira, Ricardo H.C. Takahashi, Luiz Duczmal
104
Recursive Least Squares Prediction of Syndromic Data for Surveillance
A. H. Najmi
105
A Nonparametric Scan Statistic for Multivariate Disease Surveillance
Daniel B. Neill, Jeff Lingwall
106
Incorporating Learning into Disease Surveillance Systems
Daniel B. Neill
107
Minimizing False Alarms in Syndromic Surveillance
William Peter, Amir H. Najmi, Howard Burkom
108
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
Designing Epidemiological Networks for Real-world Surveillance Settings
Ben Y. Reis, Kenneth D. Mandl
110
Learning Specific Detectors of Adverse Events in Multivariate Time Series
Josep Roure, Artur Dubrawksi, Jeff Schneider
111
Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Maheshkumar Sabhnani, Artur Dubrawski, Jeff Schneider
112
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
Syndromic Surveillance Case Definition Development Using Recursive Partitioning Techniques for Highly Dimensional Databases
Nicholas Soulakis, Farzad Mostashari, George Hripcsak
114
Surveillance Investigation Tool Development Targeted for Results
David J. Swenson, Christopher Taylor, John Southworth, Ken Dufault
115
A Scan Statistic Based on Anscombe's Variance Stabilization Transformation
Kunihiko Takahashi, Toshiro Tango
116
A Spatial Scan Statistic Scanning Only the Regions with Elevated Risk
Toshiro Tango
117
Earliest Event Detection: A Unique Approach Combining Syndromic Surveillance with Data Mining
Christopher S. Taylor
118
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
Evaluation of Spatial Estimation Methods for Cluster Detection
Jian Xing, Howard Burkom, Michael Leuze, James Edgerton, John Copeland, Steve Bloom, Jerome Tokars
121
Performance Characteristics of Control Chart Detection Methods
Jian Xing, Howard Burkom, John Copeland, Steve Bloom, Lori Hutwanger, Jerome Tokars
122
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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