arrow
Search icon

Model emulation for calibration of a stochastic, individual-based simulation of malaria transmission

The department of Mathematics and Statistics at the University of Limerick invites you to a seminar by Dr Ewan Cameron (University of Oxford):

Title: Model emulation for calibration of a stochastic, individual-based simulation of malaria transmission

Abstract: Individual-based simulation models of malaria transmission can greatly inform the strategic planning of interventions at national and sub-national scales, and the design of experiments to test new interventions.  However, refining the calibration of these computationally-intensive models, which aim to reproduce both the within-host and population-level effects of exposure-based immunity, is an ongoing challenge.  In this talk I will describe recent efforts towards an efficient methodology for calibration of the openMalaria code using contemporary techniques for model emulation and optimisation, including a 'stacked generalisation with Gaussian processes' approach developed in-house at the Malaria Atlas Project to improve out-of-sample prediction for our geostatistical models.  I will also endeavour to place this work in context with regard to development of the Spectrum-Malaria intervention planning tool and estimation of case incidence totals for the World Malaria Report. 

This seminar will take place on Friday, October 28, at 4pm, in A2-002.

If you have any questions regarding this seminar, please direct them to Iain Moyles (061 233726, iain.moyles@ul.ie).  

A full list of upcoming seminars can be found at https://ulsites.ul.ie/macsi/node/48011

Supported by Science Foundation Ireland funding, MACSI - the Mathematics Applications Consortium for Science and Industry (www.macsi.ul.ie), centred at the University of Limerick, is dedicated to the mathematical modelling and solution of problems which arise in science, engineering and industry in Ireland.

 

Sfi logo