Linked Life Data

19267903

Source:http://linkedlifedata.com/resource/pubmed/id/19267903

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-4-8
pubmed:abstractText
Efforts to tackle the enormous burden of ill-health in low-income countries are hampered by weak health information infrastructures that do not support appropriate planning and resource allocation. For health information systems to function well, a reliable inventory of health service providers is critical. The spatial referencing of service providers to allow their representation in a geographic information system is vital if the full planning potential of such data is to be realized.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1476-072X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
13
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A spatial national health facility database for public health sector planning in Kenya in 2008.
pubmed:affiliation
Malaria Public Health and Epidemiology Group, Centre for Geographic Medicine, KEMRI, University of Oxford, Wellcome Trust Collaborative Programme, Kenyatta National Hospital Grounds (behind NASCOP), Nairobi, Kenya. anoor@nairobi.kemri-wellcome.org
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't