biostudies-literatureCouture AIntramural CDC HHS546-554https://www.ebi.ac.uk/biostudies/studies/S-EPMC11903080biostudies-literatureUnknown115(4)<b>Objectives.</b> To develop a method leveraging hospital-based surveillance to estimate influenza-related hospitalizations by state, age, and month as a means of enhancing current US influenza burden estimation efforts. <b>Methods.</b> Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we extrapolated monthly FluSurv-NET hospitalization rates after adjusting for testing practices and diagnostic test sensitivities to non-FluSurv-NET states. We used a Poisson zero-inflated model with an overdispersion parameter within the Bayesian hierarchical framework and accounted for uncertainty and variability between states and across time. Model validation included checking the sensitivity of results to input data, as well as model convergence diagnostics and comparingAmerican journal of public healthState-Level Influenza Hospitalization Burden in the United States, 2022-2023.PMC11903080CC999999Chang HHGilmer MCouture AIuliano ADUjamaa DBiggerstaff MReed CThrelkel RO'Halloran AfalseState-Level Influenza Hospitalization Burden in the United States, 2022-2023.<b>Objectives.</b> To develop a method leveraging hospital-based surveillance to estimate influenza-related hospitalizations by state, age, and month as a means of enhancing current US influenza burden estimation efforts. <b>Methods.</b> Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we extrapolated monthly FluSurv-NET hospitalization rates after adjusting for testing practices and diagnostic test sensitivities to non-FluSurv-NET states. We used a Poisson zero-inflated model with an overdispersion parameter within the Bayesian hierarchical framework and accounted for uncertainty and variability between states and across time. Model validation included checking the sensitivity of results to input data, as well as model convergence diagnostics and comparing2025-01-01T00:00:00Z2025 Apr2025-07-09T03:04:36.137Z2025-07-09T03:04:36.137ZS-EPMC119030803988390110.2105/AJPH.2024.30792810.2105/ajph.2024.307928