Part 1 of a 3-part virtual CSTE/NSSP Model Training Series that focuses on foundational syndromic surveillance concepts and public health application.
Register Here. Registration will close on September 8th. Session Description: Explore the common data sources and methods that define SyS practice. Learn how analyst query data and craft syndromes for many public health problems. Apply new knowledge to interactive exercises and simulated experiences, preparing learners to look at public health surveillance through a SyS lens.
Faculty:
Alexa Meinhardt, Delaware Division of Public Health
Zachary Stein, CDC (CTR)
Lowrie Ward, Alaska Native Epidemiology Center
Session goal: Prepare learners to look at public health surveillance through a SyS lens by (a) exploring the common data sources and methods that define SyS practice, and (b) querying data and crafting syndromes for many public health problems.
Target Audience: SyS Data Consumers and New SyS Analysts
Learning objectives:
(1) Describe the general process to categorize records into syndromes
(2) Apply characteristics of SyS data when assessing SyS results
(3) Distinguish between which public health issues are and are not well suited for SyS
Expected Outcomes: By the end of the training, learners will be able to…
(1) Reliably and confidently
(a) define a syndrome using syndromic surveillance data
(b) describe representativeness and limitations of SyS
(2) Accurately frame and/or develop hypotheses for SyS applications
