Entrance hall of the ICMS

Networks: stochastic models for populations and epidemics

Sep 12, 2011 - Sep 16, 2011

ICMS, 15 South College Street

Organisers

Name Institution
Britton, Tom Stockholm University
Luczak, Malwina Queen Mary University London
Neal, Peter University of Manchester

The area of epidemic and population modelling is topical and abundant in intense research activity. The organisers of this workshop bring together researchers actively involved in the areas of networks and probabilistic models of epidemics and populations. The workshop will present an opportunity for the exchange of ideas and new collaborations amongst researchers promoting further developments in the field.

Photo of delegates

Workshop delegates - Wednesday 14 September [download the high resolution version for printing here]

 

Denis Mollison has created a website for the workshop, with most slides available through the "talks" section. 

Arrangements

Participation
Participation is by invitation only.  Invitees will be contacted by email.

UK Visas
If you are travelling from overseas you may require an entry visa. A European visa does not guarantee entry to the UK. Please use this link to the UK Visas site to find out if you need a visa and if so how to apply for one.

Venue
The workshop will be held at 15 South College Street, Edinburgh.  You may find this map useful for the workshop.  All lectures will be held in the Newhaven Lecture Theatre.   In addition, two blackboards have recently been installed.  The projector and one board may be used simultaneously.  

Wireless Access
The workshop venue, 15 South College Street, has wireless access throughout. On arrival at Registration you will be given instructions and a code for accessing the wireless network.  For those without laptops, there will also be a couple of computers available for you to check your emails.

Travel
The workshop will commence on Monday 12 September in the morning and will
close at lunchtime on Friday 16 September to enable participants to travel that day.   Please take these timings into account when organising your travel. 

Information about travel to the UK and Edinburgh is available here.

Please note that it is your responsibility to have adequate travel insurance to cover medical and other emergencies that may occur on your trip.

A taxi directly from the airport will cost approximately 15.00 to 20.00 GBP to the city centre for a one-way journey.     There is also a bus service direct from the airport to the city centre which will cost 3.50 single or 6.00 GBP return - the Airlink 100.  This is a frequent service (every 10 minutes during peak times) and will bring you close to Waverley Railway Station, only a short walk to the accommodation and the workshop venue. 

Lothian buses charge £1.30 for a single, £3.20 for a day ticket. Please note that the exact fare is required and no change is given.

If travelling by train, please note that Edinburgh has two railway stations - Waverley Railway Station being the main station and closest to the workshop venue at 15 South College Street. If you alight at Edinburgh Waverley, the workshop venue is an easy 10 minute walk over North and South Bridge. The second railway station is called Haymarket and is at the West End of the city centre.


Programme

Programme published 2 September 2011. Programme may be adjusted without prior notification.

 

Monday 12 September

08.30 - 09.00

Registration

09.00 - 10.00

Denis Mollison (Heriot-Watt University)
Network models for epidemics

10.00 - 10.30

Coffee and tea (served in the Chapterhouse)

10.30 - 11.30

Alexander Holroyd (Microsoft Research)
Invariant matching

11.30 - 12.30

Maria Deijfen (Stockholm University)
Scale-free percolation

12.30 - 14.00

Lunch served in the Chapterhouse

14.00 - 15.00

Mathew Penrose (Univeristy of Bath)
Random geometric graphs

15.00 - 16.00

Valerie Isham (University College London)
Spread of information/infection on networks

16.00 - 16.30

Coffee and tea

16.30 - 17.30

Frank Ball (University of Nottingham)
Epidemics on random networks with household structure


Tuesday 13 September

09.00 - 09.45

Vlada Limic (Université de Provence)
Exchangable coalescents

09.45 - 10.30

Etienne Pardoux (Université de Provence)
Continuous limit of probabilistic models of population with interaction

10.30 - 11.00

Coffee and tea served in the Chapterhouse

11.00 - 12.30

Group session/Open problems

12.00 - 14.00

Lunch break

14.00 - 15.30

Group session/Open problems

15.30 - 16.00

Coffee and tea served in the Chapterhouse

16.00 - 16.45

Remco van der Hofstad (TU Eindhoven)
Hypercube percolation

16.45- 17.30

Peter Neal (University of Manchester)
Variance of the giant component of a random graph


Wednesday 14 September

09.00 - 09.45

Lorenzo Pellis (Imperial College London)
R_0 and other reproduction numbers for epidemic models with household structure

09.45 - 10.30

Pieter Trapman (Stockholm University)
SIR epidemics on random intersection graphs

10.30 - 11.00

Coffee and tea served in the Chapterhouse

11.00 - 12.30

Group session/Open problems

12.00 - 14.00

Lunch break

 

Knowledge Transfer Session

14.00 - 14.30

Tommi Asikainen (ECDC)
Presentation of ECDC, modelling networks and data availability

14.30 - 15.00

Piero Poletti (ECDC)
ECDC work on varicella vaccination modelling in EU/EEA/EFTA countries

15.00 - 15.30

Gianpaolo Scalia-Tomba (ECDC)
ECDC work on generation times in epidemic modelling

15.30 - 16.00

Coffee and tea served in the Chapterhouse

16.00 - 16.30

Ard van Sighem (ECDC)
ECDC work on estimating HIV prevalence in EU/EEA/EFTA countries

16.30 - 17.00

Ian Hall (HPA)
Building behavioural response effects into stochastic models for contingency planning

17.00 - 17.30

Iain Barrass (HPA)
Interpretation of large-scale stochastic epidemic models

17.30 - 18.30

Wine reception


Thursday 15 September

09.00 - 09.45

Damian Clancy (University of Liverpool)
The effects of population heterogeneities on spread of infection

09.45 - 10.30

Mirjam Kretzschmar (University Medical Centre Utrecht )
Dynamic pair formulation models

10.30 - 11.00

Coffee and tea served in the Chapterhouse

11.00 - 12.30

Group session/Open problems

12.30 - 14.00

Lunch break

14.00 - 15.30

Group session/Open problems

15.30 - 16.00

Coffee and tea served in the Chapterhouse

16.00 - 16.45

Theo Kypraios & Philip O'Neill (University of Nottingham)
Statistical inference for epidemics on networks

16.45 - 17.30

Boris Schmid (Utrecht University)
How does the sexual behaviour of individuals relate to commonly used sexual behaviour summary measures

19.00

Workshop dinner


Friday 16 September

09.00 - 09.45

Joel Miller (Harvard School of Public Health)
Edge-based compartmental models for epidemics on networks

09.45 - 10.30

Viet Chi Tran (Université Lille)
Large graph limit and Volz' equations for an SIR epidemic spreading on a configuration model graph

10.30 - 11.00

Coffee and tea served in the Chapterhouse

11.00 - 12.30

Group session/Open problems

 

End of workshop. Building open until 17.00

 

Presentations:

Presentation Details
Ball, Frank
Epidemics on random networks with household structure
View Abstract Down
Barrass, Iain
Interpretation of large-scale stochastic epidemic models
View Abstract Down
Clancy, Damian
The effects of population heterogeneities on spread of infection
View Abstract Down
Deijfen, Maria
Scale-free percolation
View Abstract Down
Hall, Ian
Building behavioural response effects into stochastic models for contingency planning
View Abstract Down
Kretzschmar, Mirjam
Dynamic pair formulation models
View Abstract Down
Kypraios, Theo
Statistical inference for epidemics on networks (joint talk with Philip O'Neill)
View Abstract Down
Miller, Joel
Edge-based compartmental models for epidemics on networks
View Abstract Down
Mollison, Denis
Network models for epidemics
View Abstract Down
O'Neill, Philip
Statistical inference for epidemics on networks (joint with Theo Kypraios)
View Abstract Down
Pellis, Lorenzo
$R_0$ and other reproduction numbers for epidemic models with household structure.
View Abstract Down
Scalia-Tomba, Gianpaolo
ECDC work on generation times in epidemic modelling
View Abstract Down
Schmid, Boris
How does the sexual behaviour of individuals relate to commonly used sexual behaviour summary measures.
View Abstract Down
Tran, Viet Chi
Large graph limit and Volz' equations for an SIR epidemic spreading on a configuration model graph
View Abstract Down
Trapman, Pieter
SIR epidemics on random intersection graphs
View Abstract Down
van der Hofstad, Remco
Hypercube percolation
View Abstract Down

Participants

Name Institution
Asikainen, Tommi European Centre for Disease Prevention and Control
Ball, Frank University of Nottingham
Barrass, Iain Health Protection Agency
Brightwell, Graham London School of Economics
Britton, Tom Stockholm University
Cannings, Chris University of Sheffield
Clancy, Damian University of Liverpool
Deijfen, Maria Stockholm University
Ford, Ashley University of Warwick
Gamado, Kokouvi Mawuli BioSS and Heriot-Watt University
Hall, Ian Health Protection Agency
Holroyd, Alexander Microsoft Research
Isham, Valerie University College London
Janson, Svante Uppsala University
Jordan, Jonathan University of Sheffield
Kretzschmar, Mirjam University Medical Centre Utrecht
Kypraios, Theo University of Nottingham
Limic, Vlada Université de Provence
Lopes, Fabio Stockholm University
Luczak, Malwina Queen Mary University London
Miller, Joel Harvard School of Public Health
Mollison, Denis Heriot-Watt University
Neal, Peter University of Manchester
O'Neill, Philip University of Nottingham
Pardoux, Etienne Université de Provence
Pellis, Lorenzo Imperial College London
Penrose, Mathew University of Bath
Poletti, Piero Bruno Kessler Foundation
Reinert, Gesine University of Oxford
Rippl, Thomas University Goettingen
Scalia-Tomba, Gianpaolo University of Rome Tor Vergata
Schmid, Boris RIVM, National Institute for Public Health and the Environment
Tran, Viet Chi Université Lille 1
Trapman, Pieter Stockholm University
Turner, Amanda Lancaster University
van der Hofstad, Remco Eindhoven University of Technology
van Sighem, Ard University of Amsterdam