Efficient vaccination strategies for epidemic control using network information.

ABSTRACT:

Background

Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be made based on partial network information. We investigated how the accuracy of network data available at individual and village levels affected network-based vaccination effectiveness.

Methods

We simulated a Susceptible-Infected-Recovered process on static empirical social networks from 75 rural Indian villages. First, we used regression analysis to predict the percentage of individuals ever infected (cumulative incidence) based on village-level network properties for simulated datasets from 10 representative villages. Second, we simulated vaccinating 10% of each of the 75 empirical villa

SUBMITTER: Yang Y 

PROVIDER: S-EPMC6677279 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature