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19661897
Source:
http://linkedlifedata.com/resource/pubmed/id/19661897
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rdf:type
pubmed:Citation
lifeskim:mentions
umls-concept:C1615608
,
umls-concept:C2700400
pubmed:issue
7256
pubmed:dateCreated
2009-8-7
pubmed:abstractText
Agent-based computational models can capture irrational behaviour, complex social networks and global scale--all essential in confronting H1N1, says Joshua M. Epstein.
pubmed:language
eng
pubmed:journal
http://linkedlifedata.com/resource/pubmed/journal/0410462
pubmed:citationSubset
IM
pubmed:chemical
http://linkedlifedata.com/resource/pubmed/chemical/Influenza Vaccines
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1476-4687
pubmed:author
pubmed-author:EpsteinJoshua MJM
pubmed:issnType
Electronic
pubmed:day
6
pubmed:volume
460
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
687
pubmed:meshHeading
pubmed-meshheading:19661897-Absenteeism
,
pubmed-meshheading:19661897-Computer Simulation
,
pubmed-meshheading:19661897-Disease Outbreaks
,
pubmed-meshheading:19661897-Disease Progression
,
pubmed-meshheading:19661897-Fear
,
pubmed-meshheading:19661897-Humans
,
pubmed-meshheading:19661897-Influenza, Human
,
pubmed-meshheading:19661897-Influenza A Virus, H1N1 Subtype
,
pubmed-meshheading:19661897-Influenza Vaccines
,
pubmed-meshheading:19661897-Models, Biological
pubmed:year
2009
pubmed:articleTitle
Modelling to contain pandemics.
pubmed:affiliation
Center on Social and Economic Dynamics at the Brookings Institution, 1775 Massachusetts Avenue, Washington DC 20036, USA. jepstein@brookings.edu
pubmed:publicationType
Journal Article