A Conference on Infectious Disease Dynamics.
A Conference on Infectious Disease Dynamics.
IDDconf 2018 was the second instalment of a new meeting series focussing on innovative research in infectious disease dynamics.
This meeting seeks to be an opportunity for infectious disease modellers to share new ideas, in-progress research, and build an open and collaborative network of scientists.
Registration is now closed.
Concurrent updates on this website and on twitter @IDDconf.
For your calendar:
Topics include any aspects of infectious disease dynamics: from methodological to applied modelling of emerging, epidemic and endemic infectious diseases, including epidemiology, phylodynamics, evolutionary biology and ecology.
We are aiming for the meeting to be as informal and family-friendly as possible. At registration, please let us know if you would like to be added to the mailing list for people who may make childcare arrangements in Ambleside.
Format: single-stream of short talks (~15 mins) by most attendees (numbers permitting), with a small poster session during evening reception.
Abstracts for talks and posters will be solicited 1st - 10th August 2018. Decisions will be made in a transparent manner, without reference to topic or institution.
We are committed to making IDDconf a relaxed and safe experience for everyone, free from bullying or harassment of any nature. We expect all participants to act in a professional and responsible manner. If you experience or witness anything of concern, please contact one of the meeting organisers.
Our aim is to provide a fairly small (~100), community-driven conference, to improve interaction between modellers. We want a forum for modellers to present up to date work, stimulate discussion, and build collaborations. We are completely transparent about decision-making, and as many of these decisions as possible (such as talk selection) are done randomly. Last year we gave away leftover wine using a live random number selection in R!
IDDconf is organised by the Centre for Mathematical Modelling of Infectious Diseases at the London School of Hygiene & Tropical Medicine. Organisation is led by Roz Eggo, with Graham Medley, Seb Funk, and Ali Henderson on the organisation team. The conference is run by LSHTM but there is no particular focus on LSHTM at the conference. CMMID provides sponsorship, and LSHTM event management capacity, both needed to make the conference happen!
IDDconf.org is the sister of IDDjobs.org, a new site for finding and posting positions in infectious disease dynamics. Please add your jobs, and studentships there!
For any questions or queries regarding content, please email email@example.com, and in relation to logistics, organisation, or dietary requirements, firstname.lastname@example.org (with IDDconf in the subject line).
|12.30-1.20||Lunch and Registration|
|13:30||Katy Gaythorpe||Comparing and averaging model predictions for yellow fever||Julia Gog|
|13:45||Rachel Lowe||Nonlinear and delayed impacts of rainfall extremes on dengue risk in the Caribbean|
|14:00||Hannah Meredith||Optimizing systemic insecticide use to improve malaria control sustainability|
|14:15||Christopher Davis||Village-Scale Elimination of HAT (gambiense human African trypanosomiasis)|
|14:30||Emilie Hendrickx||Modelling the cost effectiveness of Wolbachia when deployed at scale in Indonesia|
|14:45||Warren Tennant||Fitting a stochastic individual based model for dengue to outbreak data using adaptive MCMC|
|15:00||Alasdair Henderson||Investigating whether cross-protection affected Zika transmission dynamics during concurrent dengue and Zika outbreaks in Fiji|
|15:15||Lisa Koeppel||Bayesian epidemic forecasting approach for emergency response to vector-borne disease outbreaks|
|16:00||Héctor Manuel Sánchez Castellanos||MGDrivE: A simulation framework for gene drive releases in spatially explicit mosquito populations, and its application to mosquito borne diseases control||Jon Read|
|16:15||Thibaut Jombart||An evidence-synthesis approach for detecting outbreak clusters|
|16:30||Chu-Chang Ku||Hybrid agent/equation-based methods for agile, efficient modelling of low-prevalence infectious diseases|
|16:45||Sean Wu||MICRO: An Eco-epidemiological Agent Based Framework for the Modeling of Mosquito-borne Pathogens|
|17:00||John Joseph Valletta||Modelling short time-series gene expression data using Gaussian Processes|
|17:15||Chris Jewell||GEM: easy-to-use, pain-free epidemic model fitting and simulation!|
|17:30||Nicky McCreesh||Estimating age-mixing patterns in contacts relevant for the transmission of Mycobacterium tuberculosis and other airborne infections|
|17:45||Trevelyan McKinley||Approximate Bayesian Computation and History Matching for complex stochastic epidemic models|
|18:00-19:30||Reception and Poster Session|
|9:15||Joaquin Prada||Improving measles incidence inference using age-structured serological data||Katherine Turner|
|9:30||Edwin van Leeuwen||Model-based estimates of direct and indirect effects of school-age influenza vaccination in England and Wales|
|9:45||Andrew J K Conlan||Who gave that to me? Carriage and transmission of Staphylococcus in Schools|
|10:00||James Munday||Who goes to school with whose sibling? Utilising national schools data for studying outbreaks.|
|10:15||Jonathan Read||Risk factors and the role of social networks in the transmission of influenza is US schools.|
|10:30||Petra Klepac||Epidemiological implications of temporal heterogeneity in individual encounters|
|11:10||Thibaud Porphyre||Multiplex network analysis reaveals how sharing haulage vehicles to move pigs affects the potential for disease spread in GB||Yoon Choi|
|11:25||Elizabeth Buckingham-Jeffery & Edward Hill||Spatio-temporal modelling of visceral leishmaniasis among domestic dogs in rural Brazil|
|11:40||Anna Borlase||Who Acquires Infection From Whom? Identifying Key Animal Hosts in a Zoonotic Hybrid Schistosome System in Senegal, West Africa.|
|11:55||Louise Dyson||Modelling helminth coinfections|
|12:10||Caroline Walters||Comparing the transmissibility of influenza strains using data from ferret experiments|
|12:25||Leon Danon||Pneumococcal transmission in the presence of Live Attenuated Influenza Vaccine|
|13:50||Assemble for walk|
|9:00||Joost Smid||Modelling the spread and decline of the new variant of Chlamydia trachomatis in Sweden||TJ McKinley|
|9:15||Kate Mitchell||Using mathematical models to interpret and inform the design of HIV prevention trials among men who have sex with men in the United States|
|9:30||Trystan Leng||Concurrency of partnerships, consistency with data, and control of sexually transmitted infections|
|9:45||Daniela De Angelis||Estimating HIV testing behaviour in MSM: an evidence synthesis approach to bias correction|
|10:00||Nick Davies||Host ecology and antimicrobial resistance|
|10:15||Gabriela Gomes||Non-heritable variation in individual fitness adds stability to neutral theories in ecology and evolution|
|11:05||Gwen Knight||Modelling drug resistance at a local and global scale||Daniela DeAngelis|
|11:20||Alicia Rosello||Dynamics of trimethoprim resistant E. coli in long-term care facilities|
|11:35||Thi Mui Pham||Tracking P. aeruginosa transmission routes using mathematical models|
|11:50||Sophie Meakin||A metapopulation model for the 2018 Ebola outbreak in the Democratic Republic of the Congo|
|12:05||Diepreye Ayabina||Modelling the Impact heterogeneity in risk to tuberculosis and the impact of active case finding|
|13:05||Tendai Mugwagwa||Rapid diagnosis of Tuberculosis in immigrant populations in England and Wales: A cost-effectiveness evaluation.||Graham Medley|
|13:20||Kaja Abbas||DALY estimation for HPV vaccine impact on cervical cancer|
|13:35||Albert Jan van Hoek||Controlling the developing Meningitis W outbreak in the Netherlands; insights from model-based infectious disease data analysis|
|13:50||Yoon Hong Choi||Mathematical modelling of the potential Impact on invasive pneumococcal disease by changing from a 2+1 to a 1+1 13-valent Pneumococcal Conjugate Vaccine schedule in England and Wales|
|14:05||Pantelis Samartsidis||Public health interventions: how do we know they worked?|