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ABSTRACT: Background
Influenza and respiratory syncytial virus (RSV) are major contributors to the burden of seasonal influenza-like illnesses (ILI) in the US. The prevention and treatment of ILI varies substantially across age groups and in cost and administration schedule. This study aimed to characterize the timing and ordering of RSV, influenza, and COVID-19 epidemics in the post-pandemic period to inform public health preparedness.Methods
We implemented a series of independent regression models to infer the contribution of each of these diseases to seasonal ILI syndromic indicators. We further implemented anomaly-detection algorithms on data from the US Centers for Disease Control and Prevention National Syndromic Surveillance Program for the 2022-23, 2023-24, and 2024-25 ILI se
SUBMITTER: Dewey G
PROVIDER: S-EPMC12804126 | biostudies-literature | 2026 Mar
REPOSITORIES: biostudies-literature