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18th October 2023
09:30 to 10:00 Registration, Tea and Coffee
10:00 to 10:15 Welcome and Introduction Clare Merritt (Newton Gateway to Mathematics)
Ulrike Tillmann (Isaac Newton Institute), (University of Oxford), (Isaac Newton Institute)
Luca Giuggioli (University of Bristol)
Session 1: Modelling epidemics with enclosed settings (Chair: Luca Giuggioli)
10:15 to 10:45 Spatially Explicit Mathematical Methods for Quantifying Infection Transmission Events Seeralan Sarvaharman (University of Bristol)
10:45 to 11:15 Modelling Airborne Viral Transmission in Enclosed Settings and Comparing Mitigations Katerina Kaouri (Cardiff University)
11:15 to 11:40 Tea and Coffee Break
11:40 to 12:10 Assessing Impact and Mitigation of COVID-19 Outbreaks in Vulnerable Settings Ian Hall (University of Manchester), (Public Health England), (The Alan Turing Institute)
12:10 to 12:40 Using Fine-resolution Contact Tracing Data to Understand Population-scale Social Mixing Patterns and Infection Dynamics Jonathan Read (Lancaster University)
12:40 to 13:45 Lunch
Session 2: Modelling of epidemics on networks (Chair: Katerina Kaouri)
13:45 to 14:15 Multiscale Modelling of Behaviour-induced Critical Regimes During Epidemics Mikhail Prokopenko (University of Sydney)
14:15 to 14:45 Considerations for Modelling Test, Trace and Isolate interventions Elizabeth Fearon (University College London)
14:45 to 15:15 Micro and Macro Predictions for Epidemics Spreading in Networks Tim Rogers (University of Bath)
15:15 to 15:45 Tea and Coffee Break
Session 3: Modelling human mobility in the context of epidemics (Chair: Tim Rogers)
15:45 to 16:15 From Individuals to Populations – Using Individual Level Mobility and Contact Data in Modelling of Infectious Diseases Petra Klepac (University of Cambridge)
16:15 to 16:45 Measuring and Modelling Mobility Behaviour in the Context of COVID-19 - From Buildings to Countries Ed Manley (University of Leeds)
16:45 to 17:45 Networking Reception
19:15 Dinner at Robinson College (for speakers and academic organisers)