Computational epidemiology is a form of spatiotemporal
reasoning in which social link structures
are employed, and spatially explicit models
are specified and executed. We point to issues thus
far addressed neither by engineers, nor scientists, in
the light of a use case focusing on catastrophic scenarios
that assume the emergence of a highly unlikely
but lethal and contagious strain of influenza.
Our conclusion is that important perspectives are
missing when dealing with policy issues resulting
from scenario execution and analyses in computational
epidemiology