Displaying results 281 - 288 of 1300
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A Nationwide Geo-Referenced Synthesized Agent Database for Infectious Disease Models
Content Type: Abstract
Our objective in this research is to develop a national, geospatially-explicit set of human agents for use in agent-based models. [The term 'agents', in agent-based modeling, refers to computerized entities that represent individuals who interact… read more -
A New Space-Time Scan Statistic for Timely Outbreak Detection Taking Overdispersion Into Account
Content Type: Abstract
To propose a new space-time scan statistic taking overdispersion into account for accurate and timely detection of disease outbreaks. -
A Nonparametric Scan Statistic for Multivariate Disease Surveillance
Content Type: Abstract
We present a new method for multivariate outbreak detection, the ìnonparametric scan statisticî (NPSS). NPSS enables fast and accurate detection of emerging space-time clusters using multiple disparate data streams, including nontraditional data… read more -
A Nonstatistical Algorithm for Automated Surveillance of Poison Control Center Data
Content Type: Abstract
To develop an automated system which examines Poison Control Center data and provides (1) early recognition of events, both man-made and naturally-occurring, which may pose a threat to public health, and (2) real-time notification to Poison… read more -
A Novel Application of Surveillance Algorithms in Childhood Immunization Program Monitoring
Content Type: Abstract
In this paper we investigate the use of the CUSUM algorithm on retrospective MMR and Pentacel (DTaP-IPV-Hib) immunization data to determine if this type of surveillance tool is useful for measuring changes in immunization rates. -
A Novel Application of Syndromic Methods of Monitor Temporal Changes in the Specificity of an Oral HIV Test
Content Type: Abstract
To apply syndromic techniques in assessing whether the false-positive rate (FP rate) of a rapid oral HIV test, routinely used for screening in New York CityÃs STD clinics, deviated from the manufacturerÃs claim; results of which have important… read more -
A Novel Approach to Using Chief Complaint-Driven Syndromic Surveillance: Use of CDC's EARS-X by Hospital Infection Control Practitioners
Content Type: Abstract
Syndromic surveillance has traditionally been used by public health to supplement mandatory disease reporting. The use of chief complaints as a data source is common for early event detection. Though some public health syndromic surveillance systems… read more -
A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection
Content Type: Abstract
The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more