WAVE, a Hybrid Epidemiologic Model for Forecasting the Course of the Pandemic at Highly Local Level
Date:
Wednesday, 30 June 2021
Time:
7.30pm – 8.30pm (Singapore Time)
Summary:
The COVID-19 pandemic has brought many challenges for public health, hospital managers, health care research, and other disciplines. Public health departments need forecasts of the evolving case numbers and the possible effects of interventions, vaccines, and other measures. Hospitals must plan their resources in light of expected surge requirements while those planning clinical trials, either for SARS-CoV-2 vaccines and treatments or for unrelated trials have to consider where hot zones will be and for how long. WAVE (Weekly Assessment of coVid Epidemiology) was created to simulate the trajectory of COVID-19 at a highly local level. It consists of three modules to address a wide range of potential uses. In this webinar, the WAVE model will be introduced and its use will be illustrated through several case studies.
Discussion points:
In this webinar, we will discuss:
- The design of the WAVE model
- Predictions obtained from WAVE
- Scenario definitions using WAVE
- Case-studies: a vaccine trial, a hospital resource use planner, and a treatment
Learning outcomes:
Attendees of this webinar will understand:
- The concepts and implementation of a customisable epidemiologic model
- Its use for forecasting and planning during COVID-19
- How to specify analyses and scenarios
Speaker:
Prof Jaime Caro
Professor in practice, Health Policy, London School of Economics
Professor, Faculty of Medicine and Health Sciences, McGill University
Chief Scientist, Evidera