1. High infection and recovery rates
  2. Low infection rate / high recovery rate
  3. High infection rate / low recovery rate
  4. Low infection and recovery rates
The 1D model shows that when social weight increases, there can be "transient epidemics" due to social influence to motion.  For example, a newly infected individual has a conflicting preference of whether to move to the recovery area or to remain near groupmates, and this causes it to remain by others until enough have become infected that a sub-group reaches consensus to move together to the recovery area.  ....Other explanation of 1D model results.... (Figure \ref{302067}).  
Additionally we consider effect of a "reaction time offset", between when an individual becomes infected, and when their personal location preference changes.  (Figure \ref{302067}C).