Spatially explicit epidemic models explore population-level consequenc
es of interactions between neighboring infectious and susceptible indi
viduals. Most such models equate local and global host density, so tha
t each individual interacts with the same number of neighbors. But man
y natural populations exhibit heterogeneity in local abundance. Theref
ore, we let host dispersion vary from uniform to clumped in a spatial
epidemic with recovery. We analytically approximated the epidemic with
a branching process to show how the probability of pathogen extinctio
n could depend on the degree of host clumping. We then simulated the d
etailed model across a range of parameter combinations. Both approache
s to the problem indicate that host spatial aggregation strongly incre
ases the chance of pathogen extinction. (C) 1998 Academic Press Limite
d.