Displaying results 97 - 104 of 2343
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A Multivariate Bayesian Scan Statistic
Content Type: Abstract
This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more -
A National Scale Microsimulation of Disease Outbreaks
Content Type: Abstract
Our objective in this research is to take advantage of a supercomputer grid (TeraGrid) to develop a distributed memory national scale agent-based model (ABM) to study disease outbreaks at the micro level. This has data needs at both the national… read more -
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