Model correction of diagnostic coding-based RSV incidence for children 0-4 years in the US.

ABSTRACT:

Background

Although administrative claims data have a high degree of completeness, not all medically attended Respiratory Syncytial Virus-associated lower respiratory tract infections (RSV-LRTIs) are tested or coded for their causative agent. We sought to determine the attribution of RSV to LRTI in claims data via modeling of temporal changes in LRTI rates against surveillance data.

Methods

We estimated the weekly incidence of LRTI (inpatient, outpatient, and total) for children 0-4 years using 2011-2019 commercial insurance claims, stratified by HHS region, matched to the corresponding weekly NREVSS RSV and influenza positivity data for each region, and modelled against RSV, influenza positivity rates, and harmonic functions of time assuming negative binomial distribution.

SUBMITTER: Nduaguba SO 

PROVIDER: S-EPMC11191139 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature