BioCat 2.0

Corley, Courtney D. ; Noonan, Christine F. ; Bartholomew, Rachel A. ; Franklin, Trisha L. ; Hutchison, Janine R. ; Lancaster, Mary J. ; Madison, Michael C. ; Piatt, Andrew W.

Pacific Northwest National Laboratory (U.S.)

关键词: Biosurveillance, Modeling, Disease Prediction, Disease Forecast;   

DOI  :  10.2172/1096123
RP-ID  :  PNNL-22767
RP-ID  :  AC05-76RL01830
RP-ID  :  1096123

美国|英语

来源: UNT Digital Library

【 摘 要 】

The U.S. Department of Homeland Security (DHS) National Biosurveillance Integration Center (NBIC) was established in 2008 with a primary mission to “(1) enhance the capability of the Federal Government to (A) rapidly identify, characterize, localize, and track a biological event of national concern by integrating and analyzing data relating to human health, animal, plant, food, and environmental monitoring systems (both national and international); and (B) disseminate alerts and other information to Member Agencies and, in coordination with (and where possible through) Member Agencies, to agencies of State, local, and tribal governments, as appropriate, to enhance the ability of such agencies to respond to a biological event of national concern; and (2) oversee development and operation of the National Biosurveillance Integration System (NBIS).” Inherent in its mission then and the broader NBIS, NBIC is concerned with the identification, understanding, and use of a variety of biosurveillance models and systems. The goal of this project is to characterize, evaluate, classify, and catalog existing disease forecast and prediction models that could provide operational decision support for recognizing a biological event having a potentially significant impact. Additionally, gaps should be identified and recommendations made on using disease models in an operational environment to support real-time decision making.