2023 Summer School in EIDM Course 1: Mathematical Epidemiology
This course covers different formulations and analyses of epidemiological models. Topics include host heterogeneity, multiple pathogens, spatial spread, within-host dynamics, and zoonotic spillover.
  • Lecture 1. Simple models. slides
  • Lecture 2. Host heterogeneity. slides
  • Lecture 3. Host heterogeneity. .pdf .Rmd .RData
  • Lecture Heffernan-1. Why make models? .pdf
  • Lecture Heffernan-2. Multi-host Multi-pathogen .pdf
  • Lecture Heffernan-3. Within-host models .pdf
  • Lecture Heffernan-4. Evolution .pdf
  • Lecture Heffernan-5. Seasonality .pdf
  • Julien Lecture 1. Stochastic models. .html
  • Julien Lecture 2. Spatial models. .html
  • Julien Lecture 3. Introductions. .html
  • Julien Lecture 4. Simple Analysis .html
  • Julien. Some R stuff. .html
  • Lectures 13 & 14. Zoonotic spillover. reading | slides
  • Lecture 15. Controlling infectious disease. slides
CONTEXT(Help)
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EIDM  »EIDM 
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Networks »Networks
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CANMOD  »CANMOD 
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CANMOD – Training »CANMOD – Training
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23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases »23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases
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2023 Summer School in EIDM Course 1: Mathematical Epidemiology
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Lecture 1: Simple Epidemiological Models »Lecture 1: Simple Epidemiological Models
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Lecture 10: Biological Introductions »Lecture 10: Biological Introductions
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Lecture 11: Basic steps in an analysis of an epidemiological model »Lecture 11: Basic steps in an analysis of an epidemiological model
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Lecture 12: Introduction to R. Collecting data »Lecture 12: Introduction to R. Collecting data
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Lecture 15: Controlling infectious disease »Lecture 15: Controlling infectious disease
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Lecture 2: Host Heterogeneity »Lecture 2: Host Heterogeneity
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Lecture 3: Why Make Models »Lecture 3: Why Make Models
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Lecture 4: Multi-Pathogen / Multi-Host Models »Lecture 4: Multi-Pathogen / Multi-Host Models
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Lecture 5: In-host Models »Lecture 5: In-host Models
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Lecture 6: Evolution »Lecture 6: Evolution
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Lecture 7: Seasonality »Lecture 7: Seasonality
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Lecture 8: Stochastic epidemiological models »Lecture 8: Stochastic epidemiological models
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Lecture 9: Epidemics spreading in space and time »Lecture 9: Epidemics spreading in space and time
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Lectures 13 & 14: Zoonotic spillover »Lectures 13 & 14: Zoonotic spillover
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