📈 July Webinar Scheduled
Good morning! The Spatial Analysis Workgroup is happy to annouce an upcoming webinar for the month of July!
Please join us on Wednesday, July 22nd at 2:00pm EDT to hear from Dr. Sharon Greene and Dr. Martin Kulldorff on "Detecting Emerging COVID-19 Community Outbreaks ".
DESCRIPTION:
Spatiotemporal analysis of COVID-19 data can support state and local health officials to monitor disease spread and target interventions. However, detecting newly emerging or re-emerging COVID-19 hotspots during an epidemic is considerably more challenging than detecting a newly emerging outbreak, such as for Legionnaires’ disease. Dr. Kulldorff will present the use of space-time scan statistics and purely spatial and purely temporal adjustments. Dr. Greene will present the system for detecting community-based COVID-19 hotspots in near-real time at census tract resolution in New York City, accounting for testing variability.
Please join us on Wednesday, July 22nd at 2:00pm EDT to hear from Dr. Sharon Greene and Dr. Martin Kulldorff on "Detecting Emerging COVID-19 Community Outbreaks ".
DESCRIPTION:
Spatiotemporal analysis of COVID-19 data can support state and local health officials to monitor disease spread and target interventions. However, detecting newly emerging or re-emerging COVID-19 hotspots during an epidemic is considerably more challenging than detecting a newly emerging outbreak, such as for Legionnaires’ disease. Dr. Kulldorff will present the use of space-time scan statistics and purely spatial and purely temporal adjustments. Dr. Greene will present the system for detecting community-based COVID-19 hotspots in near-real time at census tract resolution in New York City, accounting for testing variability.
LEARNING OBJECTIVES:
- Articulate methodological challenges pertinent to prospective cluster detection for COVID-19
- Differentiate the three probability models in SaTScan for count data: discrete Poisson, Bernoulli and space-time permutation
- Parameterize analyses using the free SaTScan software to quickly detect emerging COVID-19 hotspots in their own jurisdiction
ABOUT OUR SPEAKERS:
Sharon K. Greene, PhD, MPH is the director of the Data Analysis Unit in the Bureau of Communicable Disease of the New York City Department of Health and Mental Hygiene. She oversees spatiotemporal cluster detection for COVID-19 and other reportable diseases. For her work applying SaTScan, she received the 2018 CSTE Presidential Priorities award for advancing the use of informatics to improve health outcomes.
Martin Kulldorff, PhD, is a biostatistician in the Division of Pharmacoepidemiology and Pharmacoeconomics at the Brigham and Women’s Hospital. One of his major areas of methodological research is spatial and spatio-temporal disease surveillance, for which Dr. Kulldorff has developed various scan statistics for disease cluster detection and investigation and for the early detection of infectious disease outbreaks.
Sharon K. Greene, PhD, MPH is the director of the Data Analysis Unit in the Bureau of Communicable Disease of the New York City Department of Health and Mental Hygiene. She oversees spatiotemporal cluster detection for COVID-19 and other reportable diseases. For her work applying SaTScan, she received the 2018 CSTE Presidential Priorities award for advancing the use of informatics to improve health outcomes.
Martin Kulldorff, PhD, is a biostatistician in the Division of Pharmacoepidemiology and Pharmacoeconomics at the Brigham and Women’s Hospital. One of his major areas of methodological research is spatial and spatio-temporal disease surveillance, for which Dr. Kulldorff has developed various scan statistics for disease cluster detection and investigation and for the early detection of infectious disease outbreaks.
Registration is required for attendance. To register for this session: https://cste.webex.com/cste/k2/j.php?MTID=t0ab51686354bbdca87fdc9071b18f41b
Once the host approves your registration, you will receive a confirmation email with instructions for joining the session.
If you have any questions, please email me at mpatselikos@cste.org.