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VERSION:2.0
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DTSTAMP:20261013T041830Z
UID:6c257967-cbef-47b0-ac2a-7952ca3da7a1
DTSTART:20271011T090000Z
DTEND:20271015T170000Z
DESCRIPTION:Discover the concepts\, methods\, and tools for carrying out in
 fectious disease modelling\, as well as for developing models further by l
 everaging the power of genomics. Modelling infectious diseases can help t
 o understand the mechanisms of pathogen evolution and predict the developm
 ent of epidemics. This had an immense impact on the COVID-19 pandemic and 
 is crucial for the general surveillance of pathogens. During the course\,
  you will learn about compartmental models\, such as Susceptible-Infectiou
 s-Recovered (SIR) models\, how to adapt them to a pathogen of your interes
 t\, and the differences between stochastic and deterministic models. You'l
 l then apply these models to epidemic settings to predict changes in case 
 numbers and disease severity. Additionally\, you'll implement and adapt g
 enomics-informed models for pathogen evolution\, including multi-strain an
 d Wright-Fisher models\, and learn how to combine population genetics with
  epidemic models. You'll also make use of genomics to create timed phyloge
 nies and reconstruct ancestral states. Finally\, bringing together transm
 ission modelling and genomic data\, we'll study phylodynamic models and ho
 w this can help to detect changes in case numbers and pathogenicity earlie
 r and more reliably than with transmission models alone. 
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Methods for infectious disease modelling using genomics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/methods-infectious-dise
 ase-modelling-using-genomics-2027
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