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 submisson is now closed.
A PDF of the schedule may be downloaded
|How big does Big Data need to be? An epidemic modeling perspective
|Impact of committed vaccine recipients on vaccination behaviours in a SIR-network model
|Challenges in outbreak modelling and analysis
|ILI is not flu
|Influence of Schooling Structure on Epidemic Spread and Implications for Policy
|Jorge P. Rodríguez
|Structure and dynamics of contact patterns among structured populations in South Africa
|Directionality Reduces the Impact of Epidemics in Multilayer Networks
|Agent-based Modelling of Epidemics: the challenges of working with anonymised survey data
|Modelling at the speed of thoughts
|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.
Dr. Vittoria Colizza
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