Short-term forecasts of COVID-19
As part of the COVID-19 team at Imperial College London, Dr Pierre Nouvellet has been working on COVID-19 since March 2020. In this presentation, he will explore some of the available data and try to make sense of some signals to:
- predict the short-term incidence of COVID-19 deaths
- understand and characterise transmission level (in particular, in relation to mobility)
- interpret figures related to testing
Speaker
Dr Pierre Nouvellet, Imperial College London
Pierre Nouvellet’s current research focuses on developing statistical methods to estimate relevant parameters within complex ecological settings by integrating various sources of information in order to better understand the dynamics of diseases’ transmission and mitigate their public health risk. The focus of his current work concentrates on three themes:
- Vector-borne and zoonotic diseases, with a strong focus on rabies and Chagas disease
- Emerging diseases, with a strong focus on MERS-CoV, Ebola, Zika and antibiotic resistance
- Rapid response to outbreaks and real-time analysis, with a strong focus on developing tools and capacity ahead of future outbreaks
In each of those three themes, his interests broadly sit at the interface between ecology and epidemiology where the potential for endemic and (re-)emerging zoonotic diseases lies.
Please note that the recording link will be listed on this page when available
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