Challenges in Epidemiological Modelling

3rd October 2019, CCS19, Nanyang Technological University, Singapore

Image credit: From Connected World: Untangling the Air Traffic Network


Despite continual advances in medicine, science and technology, infectious diseases still pose a significant risk to human and veterinary health worldwide. In fact, our increasingly connected society only exacerbates the potential for disease spread and the resulting health and economic impact. Epidemiological modelling provides a tool with which we can combat the fallout from such events. Advancements in this area have provided an array of methods for understanding the behaviour of infectious diseases, allowing greater power to predict, prevent and control outbreaks. Whilst there may be high-quality data available, the multi-level interactions between hosts, pathogens and the environment, alongside significant and varied sources of uncertainty, results in a highly complex problem from a modelling point of view.

In this half-day satellite session, we will focus on a broad range of challenges that arise in the context of epidemiological modelling, taking advantage of the wide range of disciplines present at the Conference on Complex Systems 2019 (CCS19). We hope to stimulate discussion across disciplines regarding, but not limited to, issues with data collection and curation, methodology and computation and the gap between research and policy, for both public and veterinary health scenarios.

Abstract submission

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A PDF of the schedule may be downloaded here.

Time Slot Description
09h00 Introduction -
09h15 Vittoria Colliza Vittoria Colliza How big does Big Data need to be? An epidemic modeling perspective
10h00 Short talk Sheryl Chang Impact of committed vaccine recipients on vaccination behaviours in a SIR-network model
10h06 Short talk Sophie Meakin Challenges in outbreak modelling and analysis
10h12 Short talk Sam Scarpino ILI is not flu
10h25 Coffee Break
11h00 Long talk block Elpida Tzafestas Influence of Schooling Structure on Epidemic Spread and Implications for Policy
11h20 Long talk block Jorge P. Rodríguez Structure and dynamics of contact patterns among structured populations in South Africa
11h40 Long talk block Xiangrong Wang Directionality Reduces the Impact of Epidemics in Multilayer Networks
12h00 Break
12h10 Long talk block Cameron Zachreson Agent-based Modelling of Epidemics: the challenges of working with anonymised survey data
12h30 Long talk block Jayanta Kshirsagar Modelling at the speed of thoughts
12h50 Discussion Open discussion A forum to overview the challenges raised during the session. Share thoughts on how the scientific community can tackle the challanges in a collaborative manner.
13h00 Session ends

Invited Speaker




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