Limits...
The assessment of data sources for influenza virologic surveillance in New York State

View Article: PubMed Central - PubMed

ABSTRACT

Background: 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.

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

No MeSH data available.


Related in: MedlinePlus

Influenza testing performed during 2013‐2014 by the Wadsworth Center on respiratory samples, relative to the recommended sample size determined from the Right Size Roadmap Calculator A for situational awareness, with 95% confidence and 10% expected prevalence of laboratory‐confirmed Flu+/MA‐ILI
© Copyright Policy - creativeCommonsBy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC5304574&req=5

irv12433-fig-0002: Influenza testing performed during 2013‐2014 by the Wadsworth Center on respiratory samples, relative to the recommended sample size determined from the Right Size Roadmap Calculator A for situational awareness, with 95% confidence and 10% expected prevalence of laboratory‐confirmed Flu+/MA‐ILI

Mentions: New York State influenza test data were compared with the recommended sample sizes for situational awareness as determined with Calculator A (Figure 2). To avoid bias, specimens should preferably be unscreened, or a random sampling. The Wadsworth Center Virology Laboratory receives specimens for influenza testing from many sources including some that are prescreened by IVADs or other methods. During most weeks of peak influenza activity, sample sizes needed to achieve ≥95% confidence levels for situational awareness were obtained only with a combination of randomly submitted Flu+ and MA‐ILI specimens. During peak season, the recommended sample sizes were not achieved with only MA‐ILI specimens, or outside of peak season with Wadsworth test data alone.


The assessment of data sources for influenza virologic surveillance in New York State
Influenza testing performed during 2013‐2014 by the Wadsworth Center on respiratory samples, relative to the recommended sample size determined from the Right Size Roadmap Calculator A for situational awareness, with 95% confidence and 10% expected prevalence of laboratory‐confirmed Flu+/MA‐ILI
© Copyright Policy - creativeCommonsBy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5304574&req=5

irv12433-fig-0002: Influenza testing performed during 2013‐2014 by the Wadsworth Center on respiratory samples, relative to the recommended sample size determined from the Right Size Roadmap Calculator A for situational awareness, with 95% confidence and 10% expected prevalence of laboratory‐confirmed Flu+/MA‐ILI
Mentions: New York State influenza test data were compared with the recommended sample sizes for situational awareness as determined with Calculator A (Figure 2). To avoid bias, specimens should preferably be unscreened, or a random sampling. The Wadsworth Center Virology Laboratory receives specimens for influenza testing from many sources including some that are prescreened by IVADs or other methods. During most weeks of peak influenza activity, sample sizes needed to achieve ≥95% confidence levels for situational awareness were obtained only with a combination of randomly submitted Flu+ and MA‐ILI specimens. During peak season, the recommended sample sizes were not achieved with only MA‐ILI specimens, or outside of peak season with Wadsworth test data alone.

View Article: PubMed Central - PubMed

ABSTRACT

Background: 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.

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

No MeSH data available.


Related in: MedlinePlus