FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2089354920> ?p ?o ?g. }

• W2089354920 endingPage "e77244" @default.
• W2089354920 startingPage "e77244" @default.
• W2089354920 abstract "Introduction Health authorities find thresholds useful to gauge the start and severity of influenza seasons. We explored a method for deriving thresholds proposed in an influenza surveillance manual published by the World Health Organization (WHO). Methods For 2002-2011, we analysed two routine influenza-like-illness (ILI) datasets, general practice sentinel surveillance and a locum medical service sentinel surveillance, plus laboratory data and hospital admissions for influenza. For each sentinel dataset, we created two composite variables from the product of weekly ILI data and the relevant laboratory data, indicating the proportion of tested specimens that were positive. For all datasets, including the composite datasets, we aligned data on the median week of peak influenza or ILI activity and assigned three threshold levels: seasonal threshold, determined by inspection; and two intensity thresholds termed average and alert thresholds, determined by calculations of means, medians, confidence intervals (CI) and percentiles. From the thresholds, we compared the seasonal onset, end and intensity across all datasets from 2002-2011. Correlation between datasets was assessed using the mean correlation coefficient. Results The median week of peak activity was week 34 for all datasets, except hospital data (week 35). Means and medians were comparable and the 90% upper CIs were similar to the 95th percentiles. Comparison of thresholds revealed variations in defining the start of a season but good agreement in describing the end and intensity of influenza seasons, except in hospital admissions data after the pandemic year of 2009. The composite variables improved the agreements between the ILI and other datasets. Datasets were well correlated, with mean correlation coefficients of >0.75 for a range of combinations. Conclusions Thresholds for influenza surveillance are easily derived from historical surveillance and laboratory data using the approach proposed by WHO. Use of composite variables is helpful for describing influenza season characteristics." @default.
• W2089354920 created "2016-06-24" @default.
• W2089354920 creator A5003166481 @default.
• W2089354920 creator A5009823488 @default.
• W2089354920 creator A5049130168 @default.
• W2089354920 creator A5068955276 @default.
• W2089354920 creator A5085176010 @default.
• W2089354920 date "2013-10-11" @default.
• W2089354920 modified "2023-10-07" @default.
• W2089354920 title "Exploring a Proposed WHO Method to Determine Thresholds for Seasonal Influenza Surveillance" @default.
• W2089354920 cites W104382625 @default.
• W2089354920 cites W197446583 @default.
• W2089354920 cites W1974979789 @default.
• W2089354920 cites W1980305807 @default.
• W2089354920 cites W1981705844 @default.
• W2089354920 cites W1987467438 @default.
• W2089354920 cites W1992939782 @default.
• W2089354920 cites W2001187841 @default.
• W2089354920 cites W2001449174 @default.
• W2089354920 cites W2005174722 @default.
• W2089354920 cites W2022834027 @default.
• W2089354920 cites W2034112663 @default.
• W2089354920 cites W2053496815 @default.
• W2089354920 cites W2088999629 @default.
• W2089354920 cites W2093258104 @default.
• W2089354920 cites W2137414388 @default.
• W2089354920 cites W2142698037 @default.
• W2089354920 cites W2152614795 @default.
• W2089354920 cites W2154801580 @default.
• W2089354920 cites W2168745915 @default.
• W2089354920 cites W2460525481 @default.
• W2089354920 cites W4205978945 @default.
• W2089354920 cites W4240964004 @default.
• W2089354920 doi "https://doi.org/10.1371/journal.pone.0077244" @default.
• W2089354920 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3795663" @default.
• W2089354920 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24146973" @default.
• W2089354920 hasPublicationYear "2013" @default.
• W2089354920 type Work @default.
• W2089354920 sameAs 2089354920 @default.
• W2089354920 citedByCount "36" @default.
• W2089354920 countsByYear W20893549202014 @default.
• W2089354920 countsByYear W20893549202015 @default.
• W2089354920 countsByYear W20893549202016 @default.
• W2089354920 countsByYear W20893549202017 @default.
• W2089354920 countsByYear W20893549202018 @default.
• W2089354920 countsByYear W20893549202019 @default.
• W2089354920 countsByYear W20893549202020 @default.
• W2089354920 countsByYear W20893549202021 @default.
• W2089354920 countsByYear W20893549202022 @default.
• W2089354920 countsByYear W20893549202023 @default.
• W2089354920 crossrefType "journal-article" @default.
• W2089354920 hasAuthorship W2089354920A5003166481 @default.
• W2089354920 hasAuthorship W2089354920A5009823488 @default.
• W2089354920 hasAuthorship W2089354920A5049130168 @default.
• W2089354920 hasAuthorship W2089354920A5068955276 @default.
• W2089354920 hasAuthorship W2089354920A5085176010 @default.
• W2089354920 hasBestOaLocation W20893549201 @default.
• W2089354920 hasConcept C105795698 @default.
• W2089354920 hasConcept C122048520 @default.
• W2089354920 hasConcept C126322002 @default.
• W2089354920 hasConcept C138885662 @default.
• W2089354920 hasConcept C144024400 @default.
• W2089354920 hasConcept C149923435 @default.
• W2089354920 hasConcept C159047783 @default.
• W2089354920 hasConcept C18246116 @default.
• W2089354920 hasConcept C2522874641 @default.
• W2089354920 hasConcept C2779134260 @default.
• W2089354920 hasConcept C2779954635 @default.
• W2089354920 hasConcept C3008058167 @default.
• W2089354920 hasConcept C3018751465 @default.
• W2089354920 hasConcept C33923547 @default.
• W2089354920 hasConcept C41895202 @default.
• W2089354920 hasConcept C44249647 @default.
• W2089354920 hasConcept C524204448 @default.
• W2089354920 hasConcept C71924100 @default.
• W2089354920 hasConcept C89623803 @default.
• W2089354920 hasConceptScore W2089354920C105795698 @default.
• W2089354920 hasConceptScore W2089354920C122048520 @default.
• W2089354920 hasConceptScore W2089354920C126322002 @default.
• W2089354920 hasConceptScore W2089354920C138885662 @default.
• W2089354920 hasConceptScore W2089354920C144024400 @default.
• W2089354920 hasConceptScore W2089354920C149923435 @default.
• W2089354920 hasConceptScore W2089354920C159047783 @default.
• W2089354920 hasConceptScore W2089354920C18246116 @default.
• W2089354920 hasConceptScore W2089354920C2522874641 @default.
• W2089354920 hasConceptScore W2089354920C2779134260 @default.
• W2089354920 hasConceptScore W2089354920C2779954635 @default.
• W2089354920 hasConceptScore W2089354920C3008058167 @default.
• W2089354920 hasConceptScore W2089354920C3018751465 @default.
• W2089354920 hasConceptScore W2089354920C33923547 @default.
• W2089354920 hasConceptScore W2089354920C41895202 @default.
• W2089354920 hasConceptScore W2089354920C44249647 @default.
• W2089354920 hasConceptScore W2089354920C524204448 @default.
• W2089354920 hasConceptScore W2089354920C71924100 @default.
• W2089354920 hasConceptScore W2089354920C89623803 @default.
• W2089354920 hasIssue "10" @default.
• W2089354920 hasLocation W20893549201 @default.
• W2089354920 hasLocation W20893549202 @default.

• next