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Predictive performa...
Predictive performance of telenursing complaints in influenza surveillance : a prospective cohort study in Sweden
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- Timpka, Toomas (författare)
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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- Spreco, A. (författare)
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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- Eriksson, O. (författare)
- Department of Computer and Information Science, Linköping University, Linköping, Sweden
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- Dahlström, Ö. (författare)
- Linnaeus Centre HEAD, Department of Behavioural Sciences, Linköping University, Linköping, Sweden
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- Gursky, E. A. (författare)
- National Strategies Support Directorate, ANSER/Analytic Services Inc, Arlington, Virginia, United States of America
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- Strömgren, Magnus (författare)
- Umeå universitet,Institutionen för geografi och ekonomisk historia
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- Holm, Einar (författare)
- Umeå universitet,Institutionen för geografi och ekonomisk historia
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- Ekberg, J. (författare)
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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- Hinkula, J. (författare)
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
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- Nyce, J. M. (författare)
- Department of Anthropology, Ball State University, Muncie, Indiana, United States of America
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- Eriksson, H. (författare)
- Department of Computer and Information Science, Linköping University, Linköping, Sweden
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(creator_code:org_t)
- 2014
- 2014
- Engelska.
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Ingår i: Eurosurveillance. - 1025-496X .- 1560-7917. ; 19:46, s. 20966-
- Relaterad länk:
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http://www.eurosurve...
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
Stäng
- Syndromic data sources have been sought to improve the timely detection of increased influenza transmission. This study set out to examine the prospective performance of telenursing chief complaints in predicting influenza activity. Data from two influenza seasons (2007/08 and 2008/09) were collected in a Swedish county (population 427,000) to retrospectively determine which grouping of telenursing chief complaints had the largest correlation with influenza case rates. This grouping was prospectively evaluated in the three subsequent seasons. The best performing telenursing complaint grouping in the retrospective algorithm calibration was fever (child, adult) and syncope (r=0.66; p<0.001). In the prospective evaluation, the performance of 14-day predictions was acceptable for the part of the evaluation period including the 2009 influenza pandemic (area under the curve (AUC)=0.84; positive predictive value (PPV)=0.58), while it was strong (AUC=0.89; PPV=0.93) for the remaining evaluation period including only influenza winter seasons. We recommend the use of telenursing complaints for predicting winter influenza seasons. The method requires adjustments when used during pandemics.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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- Av författaren/redakt...
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Timpka, Toomas
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Spreco, A.
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Eriksson, O.
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Dahlström, Ö.
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Gursky, E. A.
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Strömgren, Magnu ...
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visa fler...
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Holm, Einar
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Ekberg, J.
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Hinkula, J.
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Nyce, J. M.
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Eriksson, H.
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visa färre...
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Eurosurveillance
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Umeå universitet