Calls and Webinars Worth Your Time
THIS WEBINAR IS POSTPONED Million Hearts Updates: March 2020
Monday, March 23, 2020, 2-3:00 p.m. ET
Sponsor: CDC Million Hearts®
The CDC Million Hearts® team will share updates on recently released resources for states and partners, including:
Underlying Medical Conditions and People at Higher Risk for Coronavirus Disease 2019 (COVID-19)
Tuesday, March 24, 2020, 2 – 3:00 p.m.
Sponsor: CDC Due to the high demand we anticipate for this Clinical Outreach and Community Activity (COCA) Call, we kindly ask participants to access it in a group format, if possible. Click the “Call Information” tab below for links to access the call via COCA’s Facebook Live or Zoom. If you are unable to attend this COCA Call, the recording of this webinar will be posted at this Facebook location a few hours after the live event.
During this COCA call, presenters will focus on current information about people who are higher risk for COVID-19 complications because of their age or underlying medical conditions, particularly those that are not well-controlled.
To see the call live, please click on COCA’s Facebook Page. A few minutes before the webinar starts, please click the link to join the webinar: https://zoom.us/j/963649423external icon
Or join by iPhone one-tap: US: +16468769923,,963649423# or +13126266799,,963649423#
Or join by Telephone: Dial (for higher quality, dial a number based on your current location):
US: +1 646 876 9923 or +1 312 626 6799 or +1 301 715 8592 or +1 346 248 7799 or +1 669 900 6833 or +1 253 215 8782
Webinar ID: 963 649 423
Census Bureau’s New Differential Privacy Methodology & Potential Health Data Implications
Tuesday, March 31, 2020, 2:00 -3:30 p.m. ET
Sponsor: CDC Changes to Census 2020 Methodology: What Are They and How Will They Impact Your Work?
Starting in 2020, the Census Bureau will be implementing a new stringent disclosure avoidance measure called differential privacy. This procedure, which introduces noise into enumerated population counts, will have important implications for two of the most widely used scientific data sources in the world (decennial census and American Community Survey). Though state population counts will remain unaltered, all other geographic levels could be subjected to noise injection, which will impact many sectors, including public health. It is important for public health practitioners to understand the implications of this change and to develop a