SeroMod workshop – serology for modelling infectious diseases. Wednesday 12th November 2014
Seromod was a one-day workshop organised by the Centre for the Mathematical Modelling of Infectious Diseases (cmmid) at the London School of Hygiene and Tropical Medicine (LSHTM).
It took place at LSHTM on Wednesday 12th November 2014.
The aim of this workshop was to bring together researchers interested in the use of serology to inform disease epidemiology and infectious disease control programmes, and discuss advanced well-established and novel quantitative methods to do so. Following a general introduction about the laboratory methods used to quantify serum antibody levels the workshop will focus mostly on general statistical approaches to quantify sero-incidence from longitudinal and cross-sectional data. Several practical applications will be presented, including models to assess the force of infection for several particular infections and novel methods to quantify vaccine-induced immunity from serological data.
The organisers would like to express their warmest thanks to all the presenters for their excellent presentations, as well as to all workshop participants for their interest. Links to the presentation slides or relevant publications can be found on the agenda here below.
This workshop was sponsored by the Wellcome Trust. The Centre for the Mathematical Modelling of Infectious Diseases would like to thank the Trust for their support
Details about the programme can be found here below, with links to the presentations. Links to relevant publications can also be found below the table.
|9:15||Coffee and Tea|
|9:30||Introduction to the use of serology in infectious disease modelling||John Edmunds, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK|
|9:40||Serology for non-serologists:An introduction to serological testing||Kevin Brown, Immunisation and Diagnosis Unit, Virus Reference Department, Public Health England, Colindale, UK|
|10:15||The use of serological data to quantify malaria transmission: Overview of recent methods and applications||Chris Drakeley & Nuno Sepulveda, Department of Infection and Immunity, London School of Hygiene and Tropical Medicine, UK|
|11:30||Novel methods for estimating incident infections from serological data||Peter Teunis, Centre for Infectious Disease Control, National Institute of Public Health (RIVM), The Netherlands and the Department of Global Health, Emory University, USA|
|12:15||Combining serological data and data on social contact patterns to quantify individual heterogeneity to single and recurrent infections||Niel Hens & Steven Abrams, Centre for Statistics, Hasselt University, Belgium|
|14:15||Mixture modelling for unmeasurable measles immunity: a study in Italy||Emanuele Del Fava, Dondena Centre for Research on Social Dynamics, Bocconi University, Italy|
|14:45||Measuring vaccination coverage and outbreak potential from serological data||Niel Hens, Centre for Statistics, Hasselt University, Belgium|
|15:45||Estimating the incidence of A/H1N1 2009 influenza infection in England from sequential antibody data||Marc Baguelin, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine & Modelling and Economics Unit, Public Health England, London, United Kingdom|
|16:15||Q&A session and closing|
Further relevant documentation
Contact Conall Watson (firstname.lastname@example.org) or Olivier le Polain (email@example.com) for further information.