pubmed-article:21347451 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C0018889 | lld:lifeskim |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C0920467 | lld:lifeskim |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C1428114 | lld:lifeskim |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C0032074 | lld:lifeskim |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C0336791 | lld:lifeskim |
pubmed-article:21347451 | lifeskim:mentions | umls-concept:C0022558 | lld:lifeskim |
pubmed-article:21347451 | pubmed:issue | 2 | lld:pubmed |
pubmed-article:21347451 | pubmed:dateCreated | 2011-2-24 | lld:pubmed |
pubmed-article:21347451 | pubmed:abstractText | Implementation of control of parasitic diseases requires accurate, contemporary maps that provide intervention recommendations at policy-relevant spatial scales. To guide control of soil transmitted helminths (STHs), maps are required of the combined prevalence of infection, indicating where this prevalence exceeds an intervention threshold of 20%. Here we present a new approach for mapping the observed prevalence of STHs, using the example of Kenya in 2009. | lld:pubmed |
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pubmed-article:21347451 | pubmed:language | eng | lld:pubmed |
pubmed-article:21347451 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:21347451 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:21347451 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:21347451 | pubmed:issn | 1935-2735 | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:HaySimon ISI | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:BrookerSimonS | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:SmithJennifer... | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:GethingPeter... | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:MwandawiroCha... | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:GitongaCaroli... | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:PullanRachel... | lld:pubmed |
pubmed-article:21347451 | pubmed:author | pubmed-author:SturrockHugh... | lld:pubmed |
pubmed-article:21347451 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:21347451 | pubmed:volume | 5 | lld:pubmed |
pubmed-article:21347451 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:21347451 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:21347451 | pubmed:pagination | e958 | lld:pubmed |
pubmed-article:21347451 | pubmed:dateRevised | 2011-7-25 | lld:pubmed |
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pubmed-article:21347451 | pubmed:year | 2011 | lld:pubmed |
pubmed-article:21347451 | pubmed:articleTitle | Spatial modelling of soil-transmitted helminth infections in Kenya: a disease control planning tool. | lld:pubmed |
pubmed-article:21347451 | pubmed:affiliation | Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom. rachel.pullan@lshtm.ac.uk | lld:pubmed |
pubmed-article:21347451 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:21347451 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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