Linked Life Data

10982078

Source:http://linkedlifedata.com/resource/pubmed/id/10982078

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2000-9-20
pubmed:abstractText
Mathematical models of transmission dynamics of infectious diseases provide a useful tool for investigating the impact of community based control measures. Previously, we used a dynamic (constant force-of-infection) model for lymphatic filariasis to describe observed patterns of infection and disease in endemic communities. In this paper, we expand the model to examine the effects of control options against filariasis by incorporating the impact of age structure of the human community and by addressing explicitly the dynamics of parasite transmission from and to the vector population. This model is tested using data for Wuchereria bancrofti transmitted by Culex quinquefasciatus in Pondicherry, South India. The results show that chemotherapy has a larger short-term impact than vector control but that the effects of vector control can last beyond the treatment period. In addition we compare rates of recrudescence for drugs with different macrofilaricidal effects.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0950-2688
pubmed:author
pubmed:issnType
Print
pubmed:volume
124
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
529-41
pubmed:dateRevised
2010-3-3
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
EPIFIL: the development of an age-structured model for describing the transmission dynamics and control of lymphatic filariasis.
pubmed:affiliation
Department of Computing Science and Mathematics, University of Stirling, UK.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't