IDDconf 2023 is back after a pandemic hiatus! IDDconf 2023 is the fourth instalment of a new meeting series focussing on innovative research in infectious disease dynamics.
This meeting is an opportunity for infectious disease modellers to share new ideas, in-progress research, and build an open and collaborative network of scientists.
Concurrent updates on this website and on twitter @IDDconf.
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. Please see the family section for more information.
Format: single-stream of short talks (~15 mins) by most attendees (numbers permitting), with a small poster session during evening reception.
Registration will open in mid-April 2023.
Abstracts for talks and posters will be solicited 1st—11th August 2023. Decisions will be made in a transparent manner, without reference to topic or institution. IDDconf 2023 offers a presentation mentoring scheme.
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.
*There are cafes and supermarkets in Ambleside, or a supermarket at Windermere train station, that we recommend delegates visit to get breakfast. The accommodation has kitchen facilities including kettle, toaster, crockery and fridges.
|12:30-13:20||Lunch and Registration|
|13:20-13:30||Opening Remarks||Roz Eggo|
|13:30||Edwin van Leeuwen||The interplay between pre-season population susceptibility and the effectiveness of the rolled out vaccination control the timing and size of an emerging seasonal influenza wave in England||Roz Eggo|
|13:45||Kirsty Bolton||Seasonality as a driver of pH1N12009 influenza vaccination campaign impact|
|14:00||Maria Tang||Leading indicators for short-term forecasting of influenza hospital admissions in England|
|14:15||Joshua Blake||Estimating SARS-CoV-2 transmission from a representative prevalence survey: progress and challenges|
|14:30||Jonathon Mellor||Forecasting RSV hospital pressures in England using age, spatial and temporal structures.|
|14:45||Rebecca Mancy||The diffusion of public health progress and small-area mortality differentials in London and Glasgow during the epidemiological transition.|
|15:30||Lorenzo Rimella||Simulation based composite likelihood||TJ McKinley|
|15:45||Andrew Iskauskas||Calibration of Complex Stochastic Models using Emulation and History Matching|
|16:00||Chris Jewell||Discrete-space data augmentation for stochastic metapopulation models: Covid19 in the UK|
|16:15||William Waites||Counting to ten: two-scale models by pattern matching|
|16:30||Lorenzo Pellis||Methods for the analysis of household-stratified infection data|
|17:00||Andrew Conlan||Invasion dynamics of SARS-CoV2 in white tailed deer and prospects for long term persistence||Richard White|
|17:15||Brandon Hayes||Elucidating African swine fever transmission cycle dynamics at the domestic-wildlife interface: Multi-host epidemic modeling in Romania|
|17:30||Eve Emes||Challenging deep-rooted preconceptions about AMR and livestock: emerging results from the SEFASI consortium|
|17:45||Katie Tiley||Using models to inform target product profiles and preferred product characteristics: the example of Wolbachia replacement|
|18:00-19:30||Reception and Poster Session|
|9:00||Joseph Lemaitre||Influpaint: Generative artificial intelligence to forecast infectious disease epidemics||Katie Hampson|
|9:15||Samuel A Sutherland||Cost-effectiveness analysis of targeted end-game interventions against sleeping sickness across the Democratic Republic of Congo|
|9:30||Alex Kaye||The impact of climate change and variability on the global distribution of Aedes aegypti and the spread of dengue|
|9:45||Ching-I Huang||Who drives transmission of sleeping sickness?|
|10:00||Joe Hilton||Predicting avian flu outbreaks in Europe: what can ecological methods do for infectious disease modellers?|
|11:00||Julia Gog||JUNIPER Consortium||Julia Gog|
|11:15||Kate Bubar||Fundamental limits to the effectiveness of traveler screening with molecular tests|
|11:30||Billy Quilty||Understanding Heterogeneity in SARS-CoV-2 Transmission: Exploring The Contribution of Viral Load and Social Contacts, and Their Significance for Testing-Based Control Approaches|
|11:45||Emilie Finch||Modelling the impact of population mobility, post-infection immunity and vaccination on SARS-CoV-2 transmission in the Dominican Republic|
|12:00||Francesca Scarabel||A time-since-infection model of contact tracing|
|12:15||Jess Bridgen||Identifying the role of hospital structure and staff interactions in nosocomial transmission of SARS-CoV-2|
|12:30||Naomi Waterlow||How demographic factors matter for antimicrobial resistance|
|12:45||Kath O'Reilly||The Clue is in the Poo... (utilising wastewater data for infectious diseases)|
|13:50||Assemble for walk|
|14:00-17:30||Optional Walk / Free time|
|9:00||Pablo Ruiz Cuenca||Disentangling fine-scale human movement through urban landscapes and its associations with infection risk||Kat Rock|
|9:15||Jonathan Read||Insights into mixing behaviour from large-scale contact tracing data|
|9:30||Michael Smah||Modelling infection spread via location, work group and household mixing|
|9:45||Maria A. Gutierrez||Population heterogeneity in within-host evolution: consequences for vaccine escape.|
|10:00||Julian Villabona-Arenas||Reconciling variation in HIV-1 acquisition probability with multiple founder variant probability|
|10:15||Tim Russell||Modelling individual-level viral kinetics and antibody dynamics for SARS-CoV-2, stratified by key covariates|
|11:00||Elaine Ferguson||How does human behaviour impact dog rabies outbreaks?||Daniela de Angelis|
|11:15||Emily Nixon||Projecting the impact of a vaccine on incidence of Lassa Fever|
|11:30||Francesco Pinotti||Transmission dynamics of H9N2 Avian Influenza virus in a Live-Bird market in Chattogram, Bangladesh|
|11:45||Gemma Chaters||Estimating the Global Burden of Animal Diseases (GBADs)|
|12:00||Simon Spencer||Estimating HIV, HCV and HSV2 incidence from emergency department serosurvey|
|13:00||Alexis Robert||Modelling the impact of MMR vaccine timeliness on the risk of measles outbreaks in England||Lorenzo Pellis|
|13:15||Alyssa Sbarra||Estimating subnational measles incidence and susceptibility to inform vaccination targeting strategies|
|13:30||Nieves Derqui||Evolution of un- and under-vaccinated children and delay in vaccination|
|13:45||Maddalena Donà||Possible counter-intuitive impact of local vaccine mandates for vaccine-preventable infectious diseases|
|14:00||Edward Hill||Developing a Public Involvement Framework in Mathematical and Health Economic Modelling for Vaccination Policy Recommendations|
As in previous years, IDDconf 2023 features a presentation mentoring scheme. The aim is to allow speakers and attendees get the most out of presentations at IDDconf 2023, by generating constructive feedback ahead of the meeting.
Mentors will be able to volunteer at registration. For mentees, at the time of title submission (1st-11th August) you will be able to opt in to join the scheme. We hope that mentors and mentees of all academic levels will opt in to the scheme.
The scheme will pair people from different institutions, who will then set up a 30-minute video call in the 10 days before IDDconf 2023. The mentee will give their presentation, and receive constructive feedback from the mentor.
Here are some resources to help in preparing talks:
“How to give a good scientific talk” (video by Julian Rayner)
This is a great place to start, and fits well with IDDconf format.
“How To Give a Good Talk” (Paper by Uri Alon)
Some more details here, splitting into considering preparation, delivery and handling questions afterwards.
“Ten simple rules for short and swift presentations” (paper by Christopher Lortie)
(Can skip the preamble.) The “rules” will help in preparing slides.
IDDconf 2023 will provide bursaries for childcare during the conference. For those bringing a partner or other carer to look after a child, IDDconf will provide up to £70 towards travel costs. For those bringing children and booking childcare, IDDconf will also aim to contribute towards childcare costs (up to £200).
Delegates cannot claim both bursaries. We encourage delegates to claim from a grant or funding agency if that is possible, to demonstrate to funders the need for these subsidies.
IDDconf has a limited budget, and childcare subsidies will be allocated on a first-come first-served basis until that limit is reached.
Previous attendees have used accredited babysitting services in Ambleside, for which we can provide details, but IDDconf and LSHTM accept no responsibility for those companies.
Children and babies are welcome at IDDconf, but caregivers should please make regular efforts not to interrupt speakers during sessions. Children are the responsibility of parents/caregivers while on campus and at IDDconf. Parents should note that that there will be alcoholic beverages at the poster session.
Children and babies are unfortunately not allowed in the University of Cumbria accommodation, and therefore outside accommodation must be sought for those bringing children. We suggest doing so as soon as your plans are made, as there is high demand in Ambleside. You are welcome to use the IDDconf parent mailing list to co-ordinate with other parents to find accommodation. 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.
IDDconf 2023 will offer 2 parallel training sessions, from 9am—12.30pm on Tuesday 5th September. Delegates can arrive on Monday evening, and therefore the cost of the workshops includes 1 night accommodation plus the session.
The two parallel workshops are:
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 Julia Gog (Cambridge), Alexis Robert, Graham Medley, and Jon Read (Lancaster) 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 community-driven 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).