Displaying results 1 - 7 of 7
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Evaluating Biosurveillance System Components using Multi-Criteria Decision Analysis
Content Type: Abstract
The evaluation of biosurveillance system components is a complex, multi-objective decision that requires consideration of a variety of factors. Multi-Criteria Decision Analysis provides a methodology to assist in the objective analysis of these… read more -
A Systematic Evaluation of Data Streams for Global Disease Surveillance
Content Type: Abstract
Living in a closely connected and highly mobile world presents many new mechanisms for rapid disease spread and in recent years, global disease surveillance has become a high priority. In addition, much like the contribution of non-traditional… read more -
Parametric Uncertainty in Intra-Herd Foot-and-Mouth Disease Epidemiological Models
Content Type: Abstract
Epidemiological models that simulate the spread of Foot-and-Mouth Disease within a herd are the foundation of decision support tools used by governments to help advise and inform strategy to combat outbreaks. Contact transmission data used to… read more -
The Biosurveillance Resource Directory - A One-Stop Shop for Systems, Sources, and Tools
Content Type: Abstract
Local, national, and global infectious disease surveillance systems have been implemented to meet the demands of monitoring, detecting, and reporting disease outbreaks and prevalence. Varying surveillance goals and geographic reach have led to… read more -
Tools and Apps to Enhance Situational Awareness for Global Disease Surveillance
Content Type: Abstract
Situational awareness is important for both early warning and early detection of a disease outbreak, and analytics and tools that furnish information on how an infectious outbreak would either emerge or unfold provide enhanced situational awareness… read more -
Biosurveillance Data Stream Framework: A Novel Approach to Characterization and Evaluation
Content Type: Abstract
Multiple data sources are used in a variety of biosurveillance systems. With the advent of new technologies, globalization, high performance computing, and "big data" opportunities, there are seemingly unlimited potential data streams that could be… read more -
Enhancing Situational Awareness by Ground Truthing with Historical Outbreaks
Content Type: Abstract
Los Alamos National Laboratory (LANL) has been funded by the Defense Threat Reduction Agency to develop tools that enhance situational awareness in infectious disease surveillance. We have applied the concept of the surveillance window to the… read more