Webinar: Supporting Clinical Trial Site Selection During the COVID-19 Pandemic Using WAVE, a Hybrid Epidemiologic Model

Jul 17, 2020

During the COVID-19 pandemic, clinical trials of potential vaccines or treatments need to find study sites in areas that are expected to see many cases during the patient enrollment period (in the case of treatments) or shortly thereafter (for vaccines); whereas trials in other therapeutic areas would prefer to locate sites in areas away from hotspots and not expected to see case surges. In either case, planning and site selection is greatly aided by an adaptable epidemiologic model that can produce accurate predictions customized to the specific locales of potential sites. In this webinar, such a model, the Wave Assessment of coVid Epidemiology (WAVE), will be introduced and its use for planning trials will be illustrated through several case studies.

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Discussion Points
In this webinar, we will discuss:

  • Requirements for a trial-planning epidemiologic model

  • The design of the WAVE model

  • Predictions obtained from WAVE

  • Scenario definitions using WAVE

  • Case-studies: a vaccine trial, a treatment trial, and a trial in another therapeutic area

Key Learning Objectives

Attendees of this webinar will understand:

How a customizable epidemiologic model can be used to plan and optimize clinical trials during COVID-19

How to specify analyses and scenarios

How to interpret the predictions in light of the needs of the trial

Debra Schaumberg, ScD, OD, MPH
Vice President, Scientific Affairs, Real-World Evidence


J. Jaime Caro, MDCM, FRCPC, FACP
Chief Scientist


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