• Home
  • School: Mathematical modeling for epidemiology: analysis, simulation and forecasting

School: Mathematical modeling for epidemiology: analysis, simulation and forecasting

  • 5 Sep 2022
  • 9 Sep 2022
The recent dramatic events associated to the spread of the COVID-19 disease in many parts of the industrialized world, and the subsequent necessity of applying efficient confinement strategies to control the pandemic without frustrating the social-economic environment, have drawn the attention to the pivotal role of mathematical modeling in epidemiology and related issues. The aim of the school is to provide a better understanding of how mathematicians qualitatively describe and measure infectious disease outbreaks, by exploring pressing questions such as how many people have been infected, how infections are identified and measured, how infectious is the virus, and what can be done to combat it. This subject area being intrinsically multidisciplinary, the courses are conceived to cover a broad spectrum of approaches and techniques, ranging from deterministic models of population dynamics to stochastic description or agent- based systems, together with controllability and observability issues, toward statistical data analysis and uncertainty quantification. The principal objective of the school is training a new generation of researchers in mathematical modeling and simulation for epidemiology in order to provide a valuable support in the decision-making process to public health managers and institution executives.

Webpage: https://sites.google.com/unifi.it/cime/c-i-m-e-courses/c-i-m-e-courses-2022/mathematical-modeling-for-epidemiology-analysis-simulation-and-forecastin


Course 1 – Population dynamics of infectious diseases
Odo DIEKMANN, Mathematical Institute – Utrecht University, The Netherlands

Course 2 – Optimal control with epidemiological applications
Maurizio FALCONE, Department of Mathematics – Sapienza University of Rome, Italy

Course 3 – The mathematics and statistics of infectious disease outbreaks
Tom BRITTON, Department of Mathematics – Stockholm University, Sweden

Course 4 – Outbreak response case studies
Christl DONNELLY, Faculty of Medicine, School of Public Health
– Imperial College London, United Kingdom

Honorary Lecture
Andrea BERTOZZI, Department of Mathematics – University of California
Los Angeles, USA

Seminars and project – the case study of COVID-19 pandemic

Ilaria DORIGATTI, Faculty of Medicine, School of Public Health
Imperial College London, United Kingdom

Ganna ROZHNOVA, Department of Epidemiology – University Medical Center
Utrecht, The Netherlands

Antonio CAPELLA, Marcos A. CAPISTRAN, J. Andres CHRISTEN, National

Autonomous University of Mexico and CONACYT, Mexico




Copyright © 2019 ESMTB - European Society for Mathematical and Theoretical Biology. All Rights Reserved

Read our Privacy Policy | Contact ESMTB at info@esmtb.org | Website maintained by Bob Planqué

Powered by Wild Apricot Membership Software