Optimal treatment allocations in space and time for on-line control of an emerging infectious disease.

ABSTRACT: A key component in controlling the spread of an epidemic is deciding where, when and to whom to apply an intervention. We develop a framework for using data to inform these decisions in realtime. We formalize a treatment allocation strategy as a sequence of functions, one per treatment period, that map up-to-date information on the spread of an infectious disease to a subset of locations where treatment should be allocated. An optimal allocation strategy optimizes some cumulative outcome, e.g. the number of uninfected locations, the geographic footprint of the disease or the cost of the epidemic. Estimation of an optimal allocation strategy for an emerging infectious disease is challenging because spatial proximity induces interference between locations, the number of possible allocations

SUBMITTER: Laber EB 

PROVIDER: S-EPMC6334759 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature