  We study the combined effects of aging and links removal on epidemic dynamics
in the Barab\'{a}si-Albert scale-free networks. The epidemic is described by a
susceptible-infected-refractory (SIR) model. The aging effect of a node
introduced at time $t_{i}$ is described by an aging factor of the form
$(t-t_{i})^{-\beta}$ in the probability of being connected to newly added nodes
in a growing network under the preferential attachment scheme based on
popularity of the existing nodes. SIR dynamics is studied in networks with a
fraction $1-p$ of the links removed. Extensive numerical simulations reveal
that there exists a threshold $p_{c}$ such that for $p \geq p_{c}$, epidemic
breaks out in the network. For $p < p_{c}$, only a local spread results. The
dependence of $p_{c}$ on $\beta$ is studied in detail. The function
$p_{c}(\beta)$ separates the space formed by $\beta$ and $p$ into regions
corresponding to local and global spreads, respectively.
