Linked Life Data

12767739

Source:http://linkedlifedata.com/resource/pubmed/id/12767739

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9370
pubmed:dateCreated
2003-5-27
pubmed:abstractText
Our aim was to assess whether a combination of seasonal climate forecasts, monitoring of meteorological conditions, and early detection of cases could have helped to prevent the 2002 malaria emergency in the highlands of western Kenya. Seasonal climate forecasts did not anticipate the heavy rainfall. Rainfall data gave timely and reliable early warnings; but monthly surveillance of malaria out-patients gave no effective alarm, though it did help to confirm that normal rainfall conditions in Kisii Central and Gucha led to typical resurgent outbreaks whereas exceptional rainfall in Nandi and Kericho led to true malaria epidemics. Management of malaria in the highlands, including improved planning for the annual resurgent outbreak, augmented by simple central nationwide early warning, represents a feasible strategy for increasing epidemic preparedness in Kenya.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0140-6736
pubmed:author
pubmed:issnType
Print
pubmed:day
17
pubmed:volume
361
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1705-6
pubmed:dateRevised
2011-9-13
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Forecasting, warning, and detection of malaria epidemics: a case study.
pubmed:affiliation
TALA Research Group, Department of Zoology, University of Oxford, South Parks Road, OX1 3PS, Oxford, UK. simon.hay@zoo.ox.ac.uk <simon.hay@zoo.ox.ac.uk>
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't