Optimal devoted resource strategies to epidemic extinction by increasing recovery rate

Abstract

Epidemic extinction requires substantial resources over the period of outbreak. It is crucial to have an efficient strategy to assign resources due to the limited budget. In this paper, on the basis of epidemic spreading model proposed in [Chen et al., PRE, 2019], we investigate how to allocate resources in different periods of epidemics. Our results show that due to the resource moderately concentrated during the period of outbreak, the epidemics become extinct with much fewer resources. Specifically, we found that the optimal devoted resource strategy saves total devoted resource several times. This study is helpful to understand the impact of devoted resources on epidemic extinction and to design epidemic strategies under limited budget.

Application of percolation model in spreading dynamics driven by social networks big data

“…It is well known that the contact network structure significantly affects the dynamics on it [22][23][24][25]. A series of theoretical methods are developed [26] to quantitatively analyze the dynamics on networks with different topological characteristics [27][28][29][30][31], and fruitful results have been achieved [32][33][34][35][36].…”