FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2086949031> ?p ?o ?g. }

• W2086949031 endingPage "66" @default.
• W2086949031 startingPage "66" @default.
• W2086949031 abstract "Targeted sampling can capture the characteristics of more vulnerable sectors of a population, but may bias the picture of population level disease risk. When sampling network data, an incomplete description of the population may arise leading to biased estimates of between-host connectivity. Avian influenza (AI) control planning in Great Britain (GB) provides one example where network data for the poultry industry (the Poultry Network Database or PND), targeted large premises and is consequently demographically biased. Exposing the effect of such biases on the geographical distribution of network properties could help target future poultry network data collection exercises. These data will be important for informing the control of potential future disease outbreaks.The PND was used to compute between-farm association frequencies, assuming that farms sharing the same slaughterhouse or catching company, or through integration, are potentially epidemiologically linked. The fitted statistical models were extrapolated to the Great Britain Poultry Register (GBPR); this dataset is more representative of the poultry industry but lacks network information. This comparison showed how systematic biases in the demographic characterisation of a network, resulting from targeted sampling procedures, can bias the derived picture of between-host connectivity within the network.With particular reference to the predictive modeling of AI in GB, we find significantly different connectivity patterns across GB when network estimates incorporate the more demographically representative information provided by the GBPR; this has not been accounted for by previous epidemiological analyses. We recommend ranking geographical regions, based on relative confidence in extrapolated estimates, for prioritising further data collection. Evaluating whether and how the between-farm association frequencies impact on the risk of between-farm transmission will be the focus of future work." @default.
• W2086949031 created "2016-06-24" @default.
• W2086949031 creator A5004828941 @default.
• W2086949031 creator A5068789266 @default.
• W2086949031 creator A5071351920 @default.
• W2086949031 creator A5073818853 @default.
• W2086949031 creator A5074071953 @default.
• W2086949031 date "2011-01-01" @default.
• W2086949031 modified "2023-10-02" @default.
• W2086949031 title "Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry" @default.
• W2086949031 cites W1956928522 @default.
• W2086949031 cites W1965183822 @default.
• W2086949031 cites W1965297469 @default.
• W2086949031 cites W1969093861 @default.
• W2086949031 cites W1977382351 @default.
• W2086949031 cites W1979916871 @default.
• W2086949031 cites W1984841045 @default.
• W2086949031 cites W1997343899 @default.
• W2086949031 cites W1997892009 @default.
• W2086949031 cites W2009678335 @default.
• W2086949031 cites W2023148463 @default.
• W2086949031 cites W2024754896 @default.
• W2086949031 cites W2028038609 @default.
• W2086949031 cites W2028244815 @default.
• W2086949031 cites W2048596679 @default.
• W2086949031 cites W2054557314 @default.
• W2086949031 cites W2072922989 @default.
• W2086949031 cites W2074970459 @default.
• W2086949031 cites W2076310239 @default.
• W2086949031 cites W2084844725 @default.
• W2086949031 cites W2088122405 @default.
• W2086949031 cites W2088196804 @default.
• W2086949031 cites W2095179547 @default.
• W2086949031 cites W2099838991 @default.
• W2086949031 cites W2103301620 @default.
• W2086949031 cites W2106567508 @default.
• W2086949031 cites W2112367773 @default.
• W2086949031 cites W2113676816 @default.
• W2086949031 cites W2114766653 @default.
• W2086949031 cites W2114918588 @default.
• W2086949031 cites W2116692148 @default.
• W2086949031 cites W2119794576 @default.
• W2086949031 cites W2120069879 @default.
• W2086949031 cites W2122385379 @default.
• W2086949031 cites W2122811701 @default.
• W2086949031 cites W2129063078 @default.
• W2086949031 cites W2136789515 @default.
• W2086949031 cites W2141011194 @default.
• W2086949031 cites W2143721482 @default.
• W2086949031 cites W2148702357 @default.
• W2086949031 cites W2148812002 @default.
• W2086949031 cites W2170674956 @default.
• W2086949031 cites W2171193101 @default.
• W2086949031 cites W2323042398 @default.
• W2086949031 cites W2329359239 @default.
• W2086949031 cites W2331995323 @default.
• W2086949031 doi "https://doi.org/10.1186/1746-6148-7-66" @default.
• W2086949031 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3275467" @default.
• W2086949031 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22027039" @default.
• W2086949031 hasPublicationYear "2011" @default.
• W2086949031 type Work @default.
• W2086949031 sameAs 2086949031 @default.
• W2086949031 citedByCount "11" @default.
• W2086949031 countsByYear W20869490312012 @default.
• W2086949031 countsByYear W20869490312013 @default.
• W2086949031 countsByYear W20869490312014 @default.
• W2086949031 countsByYear W20869490312015 @default.
• W2086949031 countsByYear W20869490312019 @default.
• W2086949031 countsByYear W20869490312020 @default.
• W2086949031 countsByYear W20869490312023 @default.
• W2086949031 crossrefType "journal-article" @default.
• W2086949031 hasAuthorship W2086949031A5004828941 @default.
• W2086949031 hasAuthorship W2086949031A5068789266 @default.
• W2086949031 hasAuthorship W2086949031A5071351920 @default.
• W2086949031 hasAuthorship W2086949031A5073818853 @default.
• W2086949031 hasAuthorship W2086949031A5074071953 @default.
• W2086949031 hasBestOaLocation W20869490311 @default.
• W2086949031 hasConcept C105795698 @default.
• W2086949031 hasConcept C124101348 @default.
• W2086949031 hasConcept C133462117 @default.
• W2086949031 hasConcept C140779682 @default.
• W2086949031 hasConcept C154945302 @default.
• W2086949031 hasConcept C159047783 @default.
• W2086949031 hasConcept C189430467 @default.
• W2086949031 hasConcept C205649164 @default.
• W2086949031 hasConcept C2522767166 @default.
• W2086949031 hasConcept C2522874641 @default.
• W2086949031 hasConcept C2908647359 @default.
• W2086949031 hasConcept C33923547 @default.
• W2086949031 hasConcept C41008148 @default.
• W2086949031 hasConcept C519248777 @default.
• W2086949031 hasConcept C71924100 @default.
• W2086949031 hasConcept C76155785 @default.
• W2086949031 hasConcept C86803240 @default.
• W2086949031 hasConcept C94915269 @default.
• W2086949031 hasConcept C99454951 @default.
• W2086949031 hasConceptScore W2086949031C105795698 @default.
• W2086949031 hasConceptScore W2086949031C124101348 @default.

• next