22 October 29

22.1 Announcements

• No new announcements

22.2 Spatio-temporal models for disease data

• Example
  • Data from Enders et al (2018) which is available on Dryad Digital Repository
• Study goals
  • Make accurate predictions of vector abundance and probability of BYVD infection at times and locations where data was not collected.
  • Understand the environmental factors (e.g., temperature) that influence the vector abundance and probability of BYVD infection.
• Auxiliary data
  • Weather/climate data
  • Land cover data
  • Crop data
• Model choice: dynamic vs. descriptive spatio-temporal model?
  • Class discussion
• Next steps
  • Write out the statistical model(s)
  • Determine how we will evaluate how model(s)
  • Semi-live example (R code can be downloaded here)