Background

Better understanding of the transmission of COVID-19 is a key factor in managing risk and designing practical interventions. The Royal Society’s Rapid Assistance in Modelling the Pandemic (RAMP) initiative brought modelling expertise from a diverse range of disciplines to support the pandemic modelling community already working on Coronavirus (COVID-19), including on environmental and aerosol transmission.

RAMP was designed to provide support from the UK mathematical modelling community for existing research groups; create new models or insights that could be used to inform the work of the Government’s scientific advisors, through data science-based approaches; apply knowledge from related epidemiology domains; and triage incoming literature to ensure effective information flows. The goal of RAMP was to enhance modelling capacity to support rapid assessment of strategies of immediate policy relevance.
 

Aims and Objectives

Building on the RAMP initiative, these 2 half day events included talks by those who, via the RAMP project or otherwise, realigned their research to focus on human epidemic modelling after the COVID-19 pandemic had begun. Speakers presented highlights of modelling that took place, as well as updates where this continues, there was opportunity for participates to pose some questions to help push the field further forward more broadly.

Talks explained how well models performed earlier in the pandemic, providing an update on more recent progress and identifying some useful learning for modellers going forward. A number of different models were presented highlighting methodological developments and applications to various datasets.

Developed by the Newton Gateway in its key role in the RAMP Continuity Network (a UKRI funded project), this event brought together academics from multiple disciplines and key stakeholders. This project was 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 ensured engagement with the wider mathematical modelling and epidemiology communities.

The event will ran from 13:30-16:30 on each day.
 

Registration

Registration is now closed for this event.