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CSTE OD Spike Alert Advisory Group

CSTE has established the Overdose Spike Alert Advisory Group to focus on addressing three key needs and provide corresponding guidance on: 1. What data spikes mean (and what spikes are meaningful) 2. What actions should be taken 3. Variation at state and at local levels. This activity will principally address analysis and interpretation of surveillance data to identify overdose clusters/spikes, while also accounting for aspects of alert guidance that intersect with epidemiologic investigations, partnerships with key stakeholders, and prevention. Membership in the Advisory Group is intentionally limited to maintain a an effective size for resource development. CSTE will seek input outside of the group from a wide range of stakeholders. The group will develop an online toolkit that will be publicly available by late 2021. While CSTE staff will monitor this page and activity regularly, anyone with the link can access these resources. Please do not share any proprietary information or upload private documents. Email Danielle Boyd (dboyd@cste.org) if you have questions about the advisory group or about this basecamp site for the group.
Megan Toe, CSTEHayleigh McCall, Program Analyst III, Syndromic Surveillance at CSTEDanielle Boyd, Program Analyst at CSTESandra GonzalezAlyaa Altabbaa, Program Analyst at CSTECailyn Lingwall, Program Analyst at CSTELawrence SchollKrystal Collier, Syndromic Surveillance Program CoordinatorBarbara MassoudiKara ManchesterKenan ZamoreJennifer KretAmy BoardJoseph Spadafinohoward burkom +20 others
Added by Megan Toe • Updated

Monitoring COVID-19 Community Outbreaks Using SaTScan

Date: Tuesday, January 19, 2021
Subject Area: Spatial Analysis
Titles: Monitoring COVID-19 Community Outbreaks using SaTScan
 
Speakers: Dr. Sharon K. Greene,  Dr. Martin Kulldorff
 
This webinar will introduce features newly available in the free SaTScan software to support health departments in detecting and monitoring COVID-19 spatiotemporal clusters. These features include enhanced purely spatial and temporal adjustments; drilldown functionality to assess spatial variability within a cluster; and the ability to specify locations using a network file to accommodate irregular geographies such as islands and peninsulas. We will demonstrate how the New York City Department of Health and Mental Hygiene has used existing and new SaTScan features to detect different types of COVID-19 clusters to support different public health purposes, including identifying epidemiologic linkages, situating mobile testing sites, and targeting community engagement efforts. We will also discuss how clusters are interpreted and presented to officials to support public health action. This webinar will supplement material previously presented on the July 22, 2020 CSTE webinar and in a preprint (https://doi.org/10.1101/2020.07.18.20156901).
January 2021 call recording can be viewed here: https://cste.webex.com/cste/lsr.php?RCID=abc71ff65c904b259564aaafbe886945 

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