Understanding the Generation Time for COVID-19
| Created: | 2021-08-02 09:43 |
|---|---|
| Institution: | Isaac Newton Institute for Mathematical Sciences |
| Description: | Background
The generation time of COVID-19 is the duration between the moment a person gets infected to the moment they infect another person (i.e. it’s the time between primary and secondary infection). This is very important in the context of new variants which may have different generation times, which in turn would have implications for the estimates of the R number. The generation time is also important for the evolution of new variants. There are a number of different factors which affect the generation time: the progress of infection within an individual (within-host modelling), the transmission of infection between individuals by droplets from aerosol or surfaces (environmental & aerosol modelling) and contact patterns between individuals (epidemiology modelling). Typically, the generation time is estimated from household studies and for COVID-19 many of the estimates have come from these studies at the very start of the epidemic. However, with the generation time depending on a number of different aspects, this means generation time is likely to vary between settings, or environmental conditions might allow for super spreading events to occur. Aims and Objectives This workshop will focus on understanding the different factors which affect the generation time, as well as the interaction between these, which will be important to be able to better assess what aspects of new variants may be of concern. The aim of this event will be to hear talks related to each of the factors affecting the generation time, to try to understand current work and thinking in each area and in turn to try to identify how these may be more joined up. A key goal of this event is to build links between epidemic modellers and the wider modelling community with interests in COVID-19, such as within-host modelling teams – including, but not limited to members of RAMP-initiated projects. This event will be delivered by the Newton Gateway in its key role in the RAMP Continuity Network (a UKRI funded project) to deliver a series of meetings, workshops and virtual study groups that react to key priority areas in the UK’s response to the current pandemic. This event is guided by links with groups such as the JUNIPER consortium and the Isaac Newton Institute Infectious Dynamics of Pandemics research programme to ensure relevance to current UK policy, and will ensure engagement with the wider mathematical modelling and epidemiology communities. |
Media items
This collection contains 11 media items.
Media items
A Stochastic Epidemic Model to Analyse the Impact of Non-Pharmaceutical Interventions on The Reproduction Number and...
Martina Favero (Stockholm University)
Wednesday, July 28, 2021 - 16:20 to 16:40
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Application of an Agent-based Model to Understanding Transmission of SARS-CoV-2 in the Workplace
Nick Warren (HSE)
Thursday, July 29, 2021 - 12:20 to 12:40
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Changes in the SARS-CoV-2 Generation Time
William Hart (University of Oxford)
Wednesday, July 28, 2021 - 16:00 to 16:20
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
From Contagion to in-host Dynamics of a Mutating Virus
Nicola Bellomo (Politecnico di Torino, Universidad de Granada)
Thursday, July 29, 2021 - 12:40 to 13:00
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Immunological measures of protection determine CoV-2 transmission and COVID-19 disease
Rustom Antia (Emory University)
Wednesday, July 28, 2021 - 16:40 to 17:00
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Overview
Julia Gog (University of Cambridge)
Wednesday, July 28, 2021 - 14:15 to 15:00
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
The Influence of the Environment on Transmission
Cath Noakes (University of Leeds)
Wednesday, July 28, 2021 - 15:00 to 15:45
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Welcome and Introduction
David Abrahams (Isaac Newton Institute)
Mike Cates (University of Cambridge)
Wednesday, July 28, 2021 - 14:00 to 14:15
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Welcome and Introduction
Jane Leeks (Newton Gateway to Mathematics)
Ciara Dangerfield (JUNIPER Consortium)
Thursday, July 29, 2021 - 10:00 to 10:10
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Why We Don’t Have a Generation Time Estimate from ONS Data (Yet)
Thomas House (University of Manchester)
Thursday, July 29, 2021 - 10:55 to 11:40
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021
Within and Between Host Modelling - Lessons from Other Diseases
Lorenzo Pellis (University of Manchester, University of Warwick, Imperial College London)
Thursday, July 29, 2021 - 10:10 to 10:55
Collection: Understanding the Generation Time for COVID-19
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Mon 2 Aug 2021