Optimizing sentinel surveillance in temporal network epidemiology.

ABSTRACT: To help health policy makers gain response time to mitigate infectious disease threats, it is essential to have an efficient epidemic surveillance. One common method of disease surveillance is to carefully select nodes (sentinels, or sensors) in the network to report outbreaks. One would like to choose sentinels so that they discover the outbreak as early as possible. The optimal choice of sentinels depends on the network structure. Studies have addressed this problem for static networks, but this is a first step study to explore designing surveillance systems for early detection on temporal networks. This paper is based on the idea that vaccination strategies can serve as a method to identify sentinels. The vaccination problem is a related question that is much more  well studied for temp

SUBMITTER: Bai Y 

PROVIDER: S-EPMC5500503 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature