Linked Life Data

12497975

Source:http://linkedlifedata.com/resource/pubmed/id/12497975

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2002-12-24
pubmed:abstractText
In dengue-endemic areas such as Thailand, there is clear seasonality in the number of reported cases of dengue virus disease. However, the roles of different entomological and biological variables in determining this pattern have not been ascertained. To investigate this, seasonally-varying parameters were introduced in a step-wise fashion into a mathematical model of the transmission dynamics of dengue viruses. The predicted prevalence of infection was then compared to observed seasonal patterns of disease. The strongest influences on the pattern of infection and its seasonal variation were duration of infectiousness of the host, vector mortality, and biting rate. However, seasonally-varying parameters such as the latent period of infection in the vector had to be incorporated into the model to generate the correct timing of peak infection prevalence. A few limiting variables usually control the prevalence of an infectious disease because small changes in their values can carry the infection beyond the threshold at which its basic reproductive number is one. It was changes in such parameters (vector biting and mortality rate) which caused seasonal prevalence, but the timing of peak prevalence was a result of time delays within the system.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0035-9203
pubmed:author
pubmed:issnType
Print
pubmed:volume
96
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
387-97
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
The seasonal pattern of dengue in endemic areas: mathematical models of mechanisms.
pubmed:affiliation
Department of Infectious Disease Epidemiology, Imperial College, Faculty of Medicine, Norfolk Place, London W2 1PG, UK. l.bartley@ic.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't