Mapping epidemics

This mini-hackfest was dedicated to mapping outbreak data and visualising associated spatial processes. Things we originally wanted to look into included:

• ⚫ mapping incidence data using incidence objects.
• ⚫ visualising contact data in the geographic space
• ⚫ predicting and mapping spatial diffusion of cases based on passenger flow data
• ⚫ ... and probably more!

We ended up creating the following:

• ⚫ the GIS first aid website, which compiles a (growing) series of tutorials mapping epidemics
• ⚫ the new R package epimaps which provides wrappers and helpers for maps and spatial clustering
• ⚫ the new R package epiflows which provides tools for handling and visualising flow (e.g. air traffic) data