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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
2
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pubmed:dateCreated |
2011-7-13
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pubmed:abstractText |
Cause-specific mortality data is essential for planning intervention programs to reduce mortality in the under age five years population (under-five). However, there is a critical paucity of such information for most of the developing world, particularly where progress towards the United Nations Millennium Development Goal 4 (MDG 4) has been slow. This paper presents a predictive cause of death model for under-five mortality based on historical vital statistics and discusses the utility of the model in generating information that could accelerate progress towards MDG 4.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-11100613,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-12264850,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-14681271,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-14681272,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-15767001,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-15781104,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-15794969,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-16997661,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-17128350,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-17182344,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-17889243,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-18049182,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-18206226,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-18207566,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-18406859,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-19377719,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-3721685,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20974886-5155251
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1554-6179
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
9
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
66-74
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pubmed:meshHeading |
pubmed-meshheading:20974886-Child, Preschool,
pubmed-meshheading:20974886-Child Mortality,
pubmed-meshheading:20974886-Female,
pubmed-meshheading:20974886-History, 20th Century,
pubmed-meshheading:20974886-History, 21st Century,
pubmed-meshheading:20974886-Humans,
pubmed-meshheading:20974886-Infant,
pubmed-meshheading:20974886-Male,
pubmed-meshheading:20974886-Models, Biological,
pubmed-meshheading:20974886-Predictive Value of Tests,
pubmed-meshheading:20974886-Vital Statistics
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pubmed:year |
2011
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pubmed:articleTitle |
Using historical vital statistics to predict the distribution of under-five mortality by cause.
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pubmed:affiliation |
School of Population Health, University of Queensland, Herston QLD, Australia. c.rao@sph.uq.edu.au
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pubmed:publicationType |
Journal Article,
Historical Article
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