Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2008-3-26
pubmed:abstractText
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.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-15033640, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-15071187, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-15141212, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-15602562, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-16079251, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-16079797, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-16585506, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-16642006, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-17088311, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-17189032, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-17416677, http://linkedlifedata.com/resource/pubmed/commentcorrection/18332436-17416679
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1091-6490
pubmed:author
pubmed:issnType
Electronic
pubmed:day
25
pubmed:volume
105
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4639-44
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Modeling targeted layered containment of an influenza pandemic in the United States.
pubmed:affiliation
Virginia Bioinformatics Institute, Virginia Polytechnical Institute and State University, Blacksburg, VA 24061, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural