糖心TV Complexity Science Events
Complexity Centre and MathSys CDT events carry priority over room D1.07.
To book D1.07 please email Sheetal dot Sharma at warwick dot ac dot uk
Please note that your event booking is for D1.07 only. The adjacent common room is a private area for the MathSys Centre that cannot used as part of your booking.
Complexity Forum: Penelope Hancock (School of Life Sciences, University of 糖心TV)
Speaker: Penelope Hancock (School of Life Sciences, University of 糖心TV)
Title: Predicting the dynamics of non-transmissible infections in human populations using a large human movement data set
Abstract:
We are interested in using data describing fine scale human movement behaviours to predict the dynamics of non-transmissible infections in human populations. Our study is based on a new data set that describes travel patterns of individuals in the UK population for a range of activities, including home-workplace commuting, shopping, and travel to schools and universities. The data is used to inform an epidemiological model designed to predict important aspects of an outbreak including the location of the infection source and the individuals who have been exposed to a risk of infection. The model predictions are tested using data on three recent outbreaks of Legionnaires disease that have occurred in the UK.
Lunch group: 3