  In this work, the spread of a contagious disease on a society where the
individuals may take precautions is modeled. The primary assumption is that the
infected individuals transmit the infection to the susceptible members of the
community through direct contact interactions. In the meantime, the
susceptibles gather information from the adjacent sites which may lead to
taking precautions. The SIR model is used for the diffusion of infection while
the Bass equation models the information diffusion. The sociological
classification of the individuals indicates that a small percentage of the
population take action immediately after being informed, while the majority
expect to see some real advantage of taking action. The individuals are assumed
to take two different precautions. The precursory measures are getting
vaccinated or trying to avoid direct contact with the neighbors. A weighted
average of states of the neighbors leads to the choice of action. The fully
connected and Scale-free Networks are employed as the underlying network of
interactions. The comparison between the simple contagion diffusion and the
diffusion of infection in a responsive society showed that a very limited
precaution makes a considerable difference in the speed and the size of the
spread of illness. Particularly highly connected hubs nodes play an essential
role in the reduction of the spread of disease.
