Linked Life Data

7785522

Source:http://linkedlifedata.com/resource/pubmed/id/7785522

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1995-7-14
pubmed:abstractText
Small scale spatial variation and temporal heterogeneity in mosquito densities can have important consequences for disease transmission, but the extreme variation which is observed in populations of malaria vectors makes it difficult to obtain good predictions of densities for short time periods over limited areas. We have applied Bayesian techniques derived for use in cancer epidemiology in order to map densities of Anopheles gambiae s.l. and A. funestus in a Tanzanian village where there is intense transmission of Plasmodium falciparum malaria. Estimates derived in this way should prove useful in vector population biology and in improving estimates of exposure-response relationships of the human host to malaria. The same methods can be applied in other fields of animal ecology.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0001-706X
pubmed:author
pubmed:issnType
Print
pubmed:volume
59
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-18
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Mapping the densities of malaria vectors within a single village.
pubmed:affiliation
Department of Public Health and Epidemiology, Swiss Tropical Institute, Basel, Switzerland.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't