Novel Applications:
Using the tools and data of public health surveillance in other areas |
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Use of biosensors to monitor the health status of livestock populations |
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New ways to collect health-related data; Leveraging real-time surveillance to support clinical decision support systems |
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Using data from syndromic surveillance for longitudinal epidemiologic studies |
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Using the syndromic surveillance framework for other data sources such as media reports or search words |
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Automated Data Acquisition and Processing:
the process of data gathering, organizing, and processing from data feed to signal |
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Architectures and strategies for automated data capture
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Implications of real-time and batch reporting
for surveillance |
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Methods to correct for reporting delays |
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Event detection through classification and other methods
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Analytical Methods:
tools for analyzing and interpreting data to assess the state of public health |
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Geographic Information Systems (GIS) and visualization methods
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Temporal, Spatial, Temporal-Spatial alerting methods
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Data mining approaches
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Multi-variable and Multi-syndrome monitoring including methods
for combining evidence
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Public Health Practice:
the use of data and analysis to protect public health |
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Using syndromic surveillance to inform public health
decision making and response (The "so what"
factor)
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Same data with a different perspective (Thinking outside
of the box)
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Integration of public health information with emergency
management, veterinary science, and other disciplines
(Situational Awareness)
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Public health investigation experiences (Applying surveillance
in different settings, including rural areas)
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BioSense: Local experiences and future directions
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Evaluation and Performance:
the assessment of data, analysis tools, systems, and public health practice |
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Simulation modeling of disease outbreaks
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Decision-theoretic and cost-analyses
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Evaluation of data sources
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Outcome Measures
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