Equal graph partitioning on estimated infection network as an effective epidemic mitigation measure.

ABSTRACT: Controlling severe outbreaks remains the most important problem in infectious disease area. With time, this problem will only become more severe as population density in urban centers grows. Social interactions play a very important role in determining how infectious diseases spread, and organization of people along social lines gives rise to non-spatial networks in which the infections spread. Infection networks are different for diseases with different transmission modes, but are likely to be identical or highly similar for diseases that spread the same way. Hence, infection networks estimated from common infections can be useful to contain epidemics of a more severe disease with the same transmission mode. Here we present a proof-of-concept study demonstrating the effectiveness of epide

SUBMITTER: Hadidjojo J 

PROVIDER: S-EPMC3142118 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature