Nowcasting and forecasting infectious disease dynamics

Topic outline

• Nowcasting and forecasting infectious disease dynamics (June 24-26)

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  This course page is not finalized: more information will appear later
  

  
  

  Course Instructors

  Sebastian Funk,  London School of Hygiene & Tropical Medicine
  

  Sam Abbott, London School of Hygiene & Tropical Medicine
  

  Katherine Sheratt, London School of Hygiene & Tropical Medicine
  

  
  

  Course contents:

  • delay distributions and how to estimate them; discrete convolutions
  • Rt estimation and the generation interval
  • nowcasting (i.e. correcting for right truncation in infectious disease count data)
  • forecasting and evaluation, ensemble methods

  
  

  Time and Place
  
  All lectures take place at Stockholm University in Campus Albano, house 1, level 2, room 2. See Registration and Venue for further details.
  

  Lecture times (includes also problem solving, tutorials, computer sessions, ...): 

  Monday June 24: 9.00-10.30, 11.00-12.30, 14.00-15.30, 16.00-17.30

  Tuesday June 25: 9.00-10.30, 11.00-12.30, 14.00-15.30, 16.00-17.30

  Wednesday June 26: 9.00-10.30, 11.00-12.30
  

  General prerequisites

  It is expected that course participants have basic knowledge of statistics and mathematics and rudimentary knowledge of infectious disease epidemiology. It is also expected that participants have basic computer software knowledge and preferably are familiar with the software R. 
  

  IMPORTANT: All participants are expected to bring a laptop with R installed on it.

  Additional prerequisites for this course
  

  Participant are expected to be familiar with R since this will be heavily used in the module.
  

  Relevant literature

  
  

  Back to main page of ESPIDAM

• Sources for R

  Instructions for installing R, introduction to R?
  

• Monday, June 24

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• Tuesday, June 25

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• Wednesday, June 26

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