Displaying results 305 - 312 of 1300
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Update on Digital Bridge Electronic Case Reporting (eCR) Project
Content Type: Webinar
Presented July 20, 2018. A first of its kind partnership, the Digital Bridge has created a forum for key decision makers in the health care, public health and health information technology arenas to share ideas and solutions. The Digital Bridge… read more -
(Syndromic) Surveillance of Birthweight, Gestation, and Infant Mortality
Content Type: Abstract
This study uses data on births in New York City between 2000-2005 to investigate the spatial pattern of birthweight and gestation, two primary risk factors for infant mortality. The analysis uses SatScan to perform normal-distribution cluster… read more -
(Syndromic) Surveillance of Birthweight, Gestation, and Infant Mortality
Content Type: Abstract
There is a great deal of interest in spatial patterns of infant mortality. However, small numbers can make spatial patterns difficult to discern and may mask areas of persistently high risk. This study investigates the spatial pattern of birthweight… read more -
21st Century Health Care Demands New Models for Population Health Data Aggregation and Sharing: A Federated Approach
Content Type: Abstract
This paper describes the value of a distributed approach to population health efforts that span clinical research, quality measurement and public health. The goal of the paper is to challenge the traditional paradigm which relies on centralized data… read more -
A Bayesian Algorithm for Detecting CDC Category A Outbreak Diseases from Emergency Department Chief Complaints
Content Type: Abstract
This paper describes a Bayesian algorithm for diagnosing the CDC Category A diseases, namely, anthrax, smallpox, tularemia, botulism and hemorrhagic fever, using emergency department chief complaints. The algorithm was evaluated on real data and on… read more -
A Bayesian Network for Estimating and Predicting Epidemic Curves
Content Type: Abstract
This paper describes a Bayesian network model for estimating and predicting an epicurve. Furthermore, it presents results of an experiment testing the accuracy of the predictions. -
A Bayesian Scan Statistic for Spatial Cluster Detection
Content Type: Abstract
This paper develops a new Bayesian method for cluster detection, the ìBayesian spatial scan statistic,î and compares this method to the standard (frequen-tist) scan statistic approach on the task of prospective disease surveillance. -
A Case Manager Tool for Anomaly Investigation in BioSurveillance
Content Type: Abstract
Effective anomaly detection depends on the timely, asynchronous generation of anomalies from multiple data streams using multiple algorithms. Our objective is to describe the use of a case manager tool for combining anomalies into cases, and for… read more