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Activity Number: 423 - Contributed Poster Presentations: Survey Research Methods Section
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #300653
Title: Methodological Considerations for Sampling in the Influenza Hospitalization Surveillance Network
Author(s): Alissa O'Halloran* and Shikha Garg and Lauren Beacham and Charisse Cummings and Carrie Reed
Companies: Centers for Disease Control and Prevention and CDC and CDC and CDC and CDC
Keywords: Sampling; Influenza

In response to record-breaking influenza hospitalization rates observed during the 2017-18 season through the Influenza Hospitalization Surveillance Network a sampling strategy was employed mid-season. While minimum data were required for all cases, a sampling strategy was implemented to obtain detailed clinical data through medical chart abstractions on a sample of cases to allow timely reporting. Sampling posed unique methodological considerations given uncertainties at the start of season, such as the expected total case count and timing of peak influenza activity. Prior seasons’ data were used for sample size calculations and to estimate if/when sampling could be implemented mid-season. The need for practical methods that could be easily applied by state surveillance systems was balanced with the need to preserve data utility for surveillance and research objectives. Sensitivity analyses determined the impact of using a Finite Population Correction Factor given that doing so would mean additional analytical steps when conducting pooled analyses since some sites selected all cases for review. We validated that sites were able to adhere to a sampling scheme during 2017-18.

Authors who are presenting talks have a * after their name.

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