tetano
Editor, Senior Moderator
Influenza Other Respir Viruses. 2016 Oct 8. doi: 10.1111/irv.12433. [Epub ahead of print]
[h=1]The Assessment of Data Sources for Influenza Virologic Surveillance in New York State.[/h] Escuyer KL[SUP]1[/SUP], Waters CL[SUP]2[/SUP], Gowie DL[SUP]2[/SUP], Maxted AM[SUP]2[/SUP], Farrell GM[SUP]1[/SUP], Fuschino ME[SUP]1[/SUP], St George K[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Following the 2013 USA release of the Influenza Virologic Surveillance Right Size Roadmap, the New York State Department of Health (NYSDOH) embarked on an evaluation of data sources for influenza virologic surveillance.
[h=4]OBJECTIVE:[/h] To assess NYS data sources, additional to data generated by the state public health laboratory (PHL), which could enhance influenza surveillance at the state and national level.
[h=4]METHODS:[/h] Potential sources of laboratory test data for influenza were analyzed for quantity and quality. Computer models, designed to assess sample sizes and the confidence of data for statistical representation of influenza activity, were used to compare PHL test data to results from clinical and commercial laboratories, reported between June 8, 2013 and May 31, 2014.
[h=4]RESULTS:[/h] Sample sizes tested for influenza at the state PHL were sufficient for situational awareness surveillance with optimal confidence levels, only during peak weeks of the influenza season. Influenza data pooled from NYS PHLs and clinical laboratories generated optimal confidence levels for situational awareness throughout the influenza season. For novel influenza virus detection in NYS, combined real-time (rt) RT-PCR data from state and regional PHLs achieved ≥85% confidence during peak influenza activity, and ≥95% confidence for most of low season and all of off-season.
[h=4]CONCLUSIONS:[/h] In NYS, combined data from clinical, commercial and public health laboratories generated optimal influenza surveillance for situational awareness throughout the season. Statistical confidence for novel virus detection, which is reliant on only PHL data, was achieved for most of the year. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
[h=4]KEYWORDS:[/h] Computer models; data sources; influenza; surveillance
PMID: 27718314 DOI: 10.1111/irv.12433
[PubMed - as supplied by publisher] Free full text
[h=1]The Assessment of Data Sources for Influenza Virologic Surveillance in New York State.[/h] Escuyer KL[SUP]1[/SUP], Waters CL[SUP]2[/SUP], Gowie DL[SUP]2[/SUP], Maxted AM[SUP]2[/SUP], Farrell GM[SUP]1[/SUP], Fuschino ME[SUP]1[/SUP], St George K[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Following the 2013 USA release of the Influenza Virologic Surveillance Right Size Roadmap, the New York State Department of Health (NYSDOH) embarked on an evaluation of data sources for influenza virologic surveillance.
[h=4]OBJECTIVE:[/h] To assess NYS data sources, additional to data generated by the state public health laboratory (PHL), which could enhance influenza surveillance at the state and national level.
[h=4]METHODS:[/h] Potential sources of laboratory test data for influenza were analyzed for quantity and quality. Computer models, designed to assess sample sizes and the confidence of data for statistical representation of influenza activity, were used to compare PHL test data to results from clinical and commercial laboratories, reported between June 8, 2013 and May 31, 2014.
[h=4]RESULTS:[/h] Sample sizes tested for influenza at the state PHL were sufficient for situational awareness surveillance with optimal confidence levels, only during peak weeks of the influenza season. Influenza data pooled from NYS PHLs and clinical laboratories generated optimal confidence levels for situational awareness throughout the influenza season. For novel influenza virus detection in NYS, combined real-time (rt) RT-PCR data from state and regional PHLs achieved ≥85% confidence during peak influenza activity, and ≥95% confidence for most of low season and all of off-season.
[h=4]CONCLUSIONS:[/h] In NYS, combined data from clinical, commercial and public health laboratories generated optimal influenza surveillance for situational awareness throughout the season. Statistical confidence for novel virus detection, which is reliant on only PHL data, was achieved for most of the year. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
[h=4]KEYWORDS:[/h] Computer models; data sources; influenza; surveillance
PMID: 27718314 DOI: 10.1111/irv.12433
[PubMed - as supplied by publisher] Free full text