Epidemic Conditions with Temporary Link Deactivation on a Network SIR Disease Model

The spread of an infectious disease depends on intrinsic properties the as well connectivity and actions population. This study investigates dynamics SIR type model which accounts for human tendency to avoid infection while also maintaining preexisting, interpersonal relationships. Specifically, we use a network in individuals probabilistically deactivate connections infected later reconnect same upon recovery. To analyze this model, mean field approximation consisting system fourteen ordinary differential equations number nodes edges is developed. closed using moment closure triple links. By analyzing equations, it shown that, addition force recovery rate, probability deactivating average node degree underlying determine if epidemic occurs.