Back to Search
Start Over
Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations
- Source :
- BMJ Open
- Publication Year :
- 2016
- Publisher :
- Linköpings universitet, Avdelningen för samhällsmedicin, 2016.
-
Abstract
- Objectives Reliable monitoring of influenza seasons and pandemic outbreaks is essential for response planning, but compilations of reports on detection and prediction algorithm performance in influenza control practice are largely missing. The aim of this study is to perform a metanarrative review of prospective evaluations of influenza outbreak detection and prediction algorithms restricted settings where authentic surveillance data have been used. Design The study was performed as a metanarrative review. An electronic literature search was performed, papers selected and qualitative and semiquantitative content analyses were conducted. For data extraction and interpretations, researcher triangulation was used for quality assurance. Results Eight prospective evaluations were found that used authentic surveillance data: three studies evaluating detection and five studies evaluating prediction. The methodological perspectives and experiences from the evaluations were found to have been reported in narrative formats representing biodefence informatics and health policy research, respectively. The biodefence informatics narrative having an emphasis on verification of technically and mathematically sound algorithms constituted a large part of the reporting. Four evaluations were reported as health policy research narratives, thus formulated in a manner that allows the results to qualify as policy evidence. Conclusions Awareness of the narrative format in which results are reported is essential when interpreting algorithm evaluations from an infectious disease control practice perspective. Funding Agencies|Swedish Civil Contingencies Agency [2010-2788]; Swedish Science Council [2008-5252]
- Subjects :
- 0301 basic medicine
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi
Quality Assurance, Health Care
030106 microbiology
meta-narrative review
Health informatics
Disease Outbreaks
03 medical and health sciences
0302 clinical medicine
Influenza A Virus, H1N1 Subtype
Biosurveillance
Pandemic
Influenza, Human
influenza
detection algorithms
prediction algorithms
evaluation
Medicine
Humans
Narrative
030212 general & internal medicine
Prospective Studies
Health policy
business.industry
Research
Health services research
General Medicine
Health Care Service and Management, Health Policy and Services and Health Economy
Infectious Diseases
Data extraction
Informatics
Population Surveillance
Metanarrative
Public Health
Seasons
business
Algorithm
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- BMJ Open
- Accession number :
- edsair.doi.dedup.....019f83dc348cd98f183fc5d5eb0de88f