Linked Life Data

19679141

Source:http://linkedlifedata.com/resource/pubmed/id/19679141

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2009-11-16
pubmed:abstractText
We study the spread of susceptible-infected-recovered (SIR) infectious diseases where an individual's infectiousness and probability of recovery depend on his/her "age" of infection. We focus first on early outbreak stages when stochastic effects dominate and show that epidemics tend to happen faster than deterministic calculations predict. If an outbreak is sufficiently large, stochastic effects are negligible and we modify the standard ordinary differential equation (ODE) model to accommodate age-of-infection effects. We avoid the use of partial differential equations which typically appear in related models. We introduce a "memoryless" ODE system which approximates the true solutions. Finally, we analyze the transition from the stochastic to the deterministic phase.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1095-8541
pubmed:author
pubmed:issnType
Electronic
pubmed:day
7
pubmed:volume
262
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
107-15
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Epidemics with general generation interval distributions.
pubmed:affiliation
Fogarty International Center, National Institutes of Health, Bethesda, MD, USA. joel.c.miller.research@gmail.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't