  Population inhomogeneity, in the variation of the individual social contact
networks and the individual infectious-recovery rates, renders the dynamics of
infectious disease spreading uncertain. As a consequence the overlaying
economical production network with its proper collaboration components is to
extent impacted unpredictably. Our model proposes a `vector logistic' dynamical
approach to SIS dynamics in a social contact network interacting with its
economic capacity network. The probabilistic interpretation of the graph state
in the vector logistic description provides a method to assess the effect of
mean and variance of the infected on the production capacity and allows the
strategic planning of social connectivity regulation. The impact of the
epidemic mean effects and fluctuations on the production capacity is assessed
according `cumulative',`majority' and `fragility' proxy measures.
