| pubmed-article:16926216 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16926216 | lifeskim:mentions | umls-concept:C0021400 | lld:lifeskim |
| pubmed-article:16926216 | lifeskim:mentions | umls-concept:C0150369 | lld:lifeskim |
| pubmed-article:16926216 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
| pubmed-article:16926216 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:16926216 | lifeskim:mentions | umls-concept:C0733511 | lld:lifeskim |
| pubmed-article:16926216 | pubmed:issue | 5 | lld:pubmed |
| pubmed-article:16926216 | pubmed:dateCreated | 2006-10-20 | lld:pubmed |
| pubmed-article:16926216 | pubmed:abstractText | A variety of Serfling-type statistical algorithms requiring long series of historical data, exclusively from temperate climate zones, have been proposed for automated monitoring of influenza sentinel surveillance data. We evaluated three alternative statistical approaches where alert thresholds are based on recent data in both temperate and subtropical regions. | lld:pubmed |
| pubmed-article:16926216 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16926216 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16926216 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:16926216 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16926216 | pubmed:month | Oct | lld:pubmed |
| pubmed-article:16926216 | pubmed:issn | 0300-5771 | lld:pubmed |
| pubmed-article:16926216 | pubmed:author | pubmed-author:LeungGabriel... | lld:pubmed |
| pubmed-article:16926216 | pubmed:author | pubmed-author:HoLai-MingLM | lld:pubmed |
| pubmed-article:16926216 | pubmed:author | pubmed-author:WongIrene O... | lld:pubmed |
| pubmed-article:16926216 | pubmed:author | pubmed-author:RileyStevenS | lld:pubmed |
| pubmed-article:16926216 | pubmed:author | pubmed-author:CowlingBenjam... | lld:pubmed |
| pubmed-article:16926216 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:16926216 | pubmed:volume | 35 | lld:pubmed |
| pubmed-article:16926216 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16926216 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16926216 | pubmed:pagination | 1314-21 | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
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| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:meshHeading | pubmed-meshheading:16926216... | lld:pubmed |
| pubmed-article:16926216 | pubmed:year | 2006 | lld:pubmed |
| pubmed-article:16926216 | pubmed:articleTitle | Methods for monitoring influenza surveillance data. | lld:pubmed |
| pubmed-article:16926216 | pubmed:affiliation | Department of Community Medicine and School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong. bcowling@hku.hk | lld:pubmed |
| pubmed-article:16926216 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16926216 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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