Modeling targeted layered containment of an influenza pandemic in the United States.

TitleModeling targeted layered containment of an influenza pandemic in the United States.
Publication TypeJournal Article
Year of Publication2008
AuthorsM Halloran E, Ferguson NM, Eubank S, Longini IM, Cummings DAT, Lewis B, Xu S, Fraser C, Vullikanti A, Germann TC, Wagener D, Beckman R, Kadau K, Barrett C, Macken CA, Burke DS, Cooley P
JournalProc Natl Acad Sci U S A
Volume105
Issue12
Pagination4639-44
Date Published2008 Mar 25
ISSN1091-6490
KeywordsChicago, Computer Simulation, Cooperative Behavior, Disease Outbreaks, Humans, Influenza, Human, Models, Biological, Patient Isolation, United States
Abstract

Planning a response to an outbreak of a pandemic strain of influenza is a high public health priority. Three research groups using different individual-based, stochastic simulation models have examined the consequences of intervention strategies chosen in consultation with U.S. public health workers. The first goal is to simulate the effectiveness of a set of potentially feasible intervention strategies. Combinations called targeted layered containment (TLC) of influenza antiviral treatment and prophylaxis and nonpharmaceutical interventions of quarantine, isolation, school closure, community social distancing, and workplace social distancing are considered. The second goal is to examine the robustness of the results to model assumptions. The comparisons focus on a pandemic outbreak in a population similar to that of Chicago, with approximately 8.6 million people. The simulations suggest that at the expected transmissibility of a pandemic strain, timely implementation of a combination of targeted household antiviral prophylaxis, and social distancing measures could substantially lower the illness attack rate before a highly efficacious vaccine could become available. Timely initiation of measures and school closure play important roles. Because of the current lack of data on which to base such models, further field research is recommended to learn more about the sources of transmission and the effectiveness of social distancing measures in reducing influenza transmission.

DOI10.1073/pnas.0706849105
Alternate JournalProc. Natl. Acad. Sci. U.S.A.
PubMed ID18332436
PubMed Central IDPMC2290797
Grant ListU01 GM070694 / GM / NIGMS NIH HHS / United States
U01-GM070694 / GM / NIGMS NIH HHS / United States
U01-GM070698 / GM / NIGMS NIH HHS / United States
U01-GM070708 / GM / NIGMS NIH HHS / United States
U01-GM070749 / GM / NIGMS NIH HHS / United States
U54 GM088491 / GM / NIGMS NIH HHS / United States
Publication Categories: