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AZ BioSense Community of Practice

The mission of the Arizona BioSense Workgroup is to work collaboratively as partners to build capacity and quality of BioSense syndromic surveillance in Arizona. Our vision is to improve population health and emergency response through the use of timely and effective syndromic surveillance. This space is a platform for our members to continue discussions and share cross-role topics and questions from providing the data to using syndromic data (clinician/IT/public health).
Laura ErhartJoli WeissTaylor Lutich, AZHayleigh McCall, Program Analyst III, Syndromic Surveillance at CSTEMatt RoachIrene, Senior Surveillance EpidemiologistAmanda Swanson, TB Special Projects Epidemiologist at AZDHSKaitlyn ChorbiAlyaa Altabbaa, Program Analyst at CSTEHeather VenkatLaura Fox, Environmental Public Health Tracking EpidemiologistChristina Mrukowicz, EpidemiologistSarah GieszlAmy LaiMichelle Kreutzberg-Martinez +189 others
Posted by Rachel Berg ·

CSTE/NSSP Model Training Series: Syndromic Surveillance Stare of Mind.


 
CSTE is excited to announce a new syndromic surveillance training opportunity designed for new syndromic surveillance data analysts and data consumers. Syndromic Surveillance State of Mind is the first training in a three-part, virtual CSTE/NSSP Model Training Series that focuses on foundational syndromic surveillance concepts and public health application. Each training employs adult learning theories and practical exercises shared by Community of Practice colleagues.
 
Space in the live training sessions is limited. Please register to indicate your interest by September 8th. Preference will be given to new state and local public health practitioners.
 
Training Date: Friday, Sept 16th from 2:30-4PM ET
 
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