epizootic

31 Jan, 2024·
Dr. July Pilowsky
Dr. July Pilowsky
· 2 min read

epizootic

An R package for process-explicit models of wildlife disease

July Pilowsky


What is machine learning?


What is a process-explicit model?


What do you need to make one?

  • Theory about how the study system works
  • This is all you really need, because process-explicit models can be data-free

OK, July, but not all models can or should be data-free

  • Data on processes (such as nitrogen fixation rate or replication fidelity)
  • Data on drivers (such as temperature or % impervious surface)
  • Observed patterns that can be compared to model outputs for validation

How do these models apply to disease ecology?


Introducing epizootic


The structure of epizootic


Case study: house finch conjunctivitis

Image credit: Kerry Hargrove


epizootic in practice


epizootic in practice

Summer 1940Winter 1993

Processes and drivers considered for house finch conjunctivitis

  • Land use change (urbanization)
  • Climate change
  • Density-dependent dispersal
  • Local extirpation by the disease

What questions could we answer using epizootic?

  • Does urbanization facilitate the spread of wildlife disease?
  • Does topography/elevation slow the spread of wildlife disease?
  • Does hunting change the dynamics of wildlife disease?
  • Suggest some I haven’t thought of yet!

Roadmap for epizootic

  • Complete the house finch conjunctivitis case study
  • Create a tutorial so it is easier for other people to use
  • Add functionality for dispersal that differs by season and for the inclusion of hunting (?)
  • Case study in vector-borne system (?)