Breakout Sessions

1
Breakout Sessions

• Interactive and discussion-oriented
• Six major topic areas
• Sign up sheets
• Moderator designated for each session
• Recorder needed
• Discussion points presented to large group
  tomorrow

2
Common Issues

• Coordination and communication among
  jurisdictions and at different levels of public
  health
• Time and resource constraints
• Role of social networking
• Lessons learned

3
Detection and Analysis

• What detection and analysis methods are available
  and how are they similar or different?
• What types of events might they detect and why?
• What do monitors need to maintain a working
  knowledge about statistical algorithms?
• What epidemiologic analyses can or should follow
  the initial statistically significant anomaly
  notification?
• What is the appropriate geographic unit of
  analysis?

4
System Visualizations and Functionalities

• What system visualizations, functionalities, and
  tools are most useful in monitoring and analyzing
  biosurveillance data?
• What needs are systems currently meeting/not
  meeting?
• What improvements can be made to improve utility?

5
Monitoring and Anomaly Characterization

• What are the protocols for monitoring
  biosurveillance data?
• What information is necessary to characterize
  anomalies and what specific aspects indicate an
  anomaly is of potential importance?
• What information is needed beyond what the system
  can provide, and how can this information be
  obtained?

6
Follow-up, Reporting, and Communication Protocols

• When it is determined that an escalation or
  follow up investigation is appropriate, what are
  the appropriate protocols?
• What information is needed for escalation
  reporting?
• What information and in what format should
  reports include?

7
Consolidating Information

• How do we address/resolve the use of multiple
  systems?
• How do we consolidate information, coordinate,
  and communicate across jurisdictions, systems,
  and analytical results?

8
Situational Awareness

• How do we define situational awareness?
• How can biosurveillance systems meet the need for
  situational awareness (in addition to early
  detection of events)?
• What types of scenarios would require situational
  awareness, and what data analyses, system
  functionalities, and data visualizations would
  provide the needed information?