Displaying results 633 - 640 of 2343
-
NBIC Biofeeds: A Digital Tool for Open Source Biosurveillance across Federal Agencies
Content Type: Abstract
The NBIC integrates, analyzes, and distributes key information about health and disease events to help ensure the nation’s responses are well-informed, save lives, and minimize economic impact. NBIC serves as a bridge between Federal, State, Local,… read more -
NBS: A Community-Based Approach to Developing an Integrated Surveillance System
Content Type: Abstract
The NEDSS Base System (NBS) is a web-based, standards- driven, integrated disease surveillance system launched in 2001 and is currently in use in twenty-two public health jurisdictions. Over the past fifteen years, the NBS has grown into a highly… read more -
NEDSS Base System (NBS): Electronic Data Exchange and Workflow Decision Support
Content Type: Abstract
The NBS is an integrated disease surveillance system deployed in 22 public health jurisdictions to support receipt, investigation, analysis and reporting, and data exchange for state reportable conditions. The NBS is governed by the Centers for… 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.