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DTSTAMP:20260407T181206Z
UID:a4f26718-832c-4263-b375-a2085420ba58
DTSTART:20250914T090000Z
DTEND:20250919T170000Z
DESCRIPTION:This EMBO Practical course will introduce concepts\, methods\, 
 and tools for carrying out infectious disease modelling\, as well as for d
 eveloping models further by leveraging the power of genomics. Modelling i
 nfectious diseases can help to understand the mechanisms of pathogen evolu
 tion and predict the development of epidemics. This had an immense impact 
 on the COVID-19 pandemic and is crucial for the general surveillance of pa
 thogens. In this course\, participants will learn about compartmental mod
 els\, such as Susceptible-Infectious-Recovered (SIR) models\, how to adapt
  them to a pathogen of their interest\, and the differences between stocha
 stic and deterministic models. Taking this further\, participants will app
 ly these models to epidemic settings in order to predict changes in case n
 umbers and disease severity. Additionally\, the participants will learn h
 ow to implement and adapt genomics-informed models for pathogen evolution\
 , and they will learn how to make use of genomics to create timed phylogen
 ies and reconstruct ancestral states. Finally\, bringing together transmi
 ssion modelling and genomic data\, participants will learn about phylodyna
 mic models and how this can help to detect changes in case numbers and pat
 hogenicity earlier 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/infectious-disease-mode
 lling-using-genomics-2025
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