{"doi":"10.1111/irv.13299","title":"Estimating the Undetected Burden of Respiratory Syncytial Virus Hospitalizations in Adults Through Capture–Recapture Methods","abstract":"INTRODUCTION: Traditional surveillance systems may underestimate the burden caused by respiratory syncytial virus (RSV). Capture-recapture methods provide alternatives for estimating the number of RSV-related hospitalizations in a population. METHODS: Capture-recapture methods were used to estimate the number of RSV-related hospitalizations in adults in Middle Tennessee from two independent hospitalization surveillance systems during consecutive respiratory seasons from 2016-2017 to 2019-2020. Data from the Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) and the Emerging Infections Program (EIP) were used. Annual RSV hospitalization rates were calculated using the capture-recapture estimates weighted by hospitals' market share divided by the corresponding census population. RESULTS: Using capture-recapture methods, the estimated overall adult hospitalization rates varied from 8.3 (95% CI: 5.9-15.4) RSV-related hospitalizations per 10,000 persons during the 2016-2017 season to 28.4 (95% CI: 18.2-59.0) hospitalizations per 10,000 persons in the 2019-2020 season. The proportion of hospitalizations that HAIVEN determined ranged from 8.7% to 36.7% of the total capture-recapture estimated hospitalization, whereas EIP detected 23.5% to 52.7% of the total capture-recapture estimated hospitalizations. CONCLUSION: Capture-recapture estimates showed that individual traditional surveillance systems underestimated the hospitalization burden in adults. Using capture-recapture allows for a more comprehensive estimate of RSV hospitalizations.","journal":"Influenza and Other Respiratory Viruses","year":2024,"id":457568,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9365,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":105909,"name":"Yuwei Zhu","orcid":"0000-0001-9849-1634","position":1,"is_corresponding":false},{"id":335919,"name":"Dayna Wyatt","orcid":null,"position":2,"is_corresponding":false},{"id":308128,"name":"Tiffanie Markus","orcid":"0000-0001-8741-3729","position":3,"is_corresponding":false},{"id":105611,"name":"James D. Chappell","orcid":"0000-0002-7382-7864","position":4,"is_corresponding":false},{"id":105913,"name":"Natasha Halasa","orcid":"0000-0002-6381-1826","position":5,"is_corresponding":false},{"id":335916,"name":"Christopher Trabue","orcid":null,"position":6,"is_corresponding":false},{"id":254225,"name":"William Schaffner","orcid":"0000-0002-1375-8078","position":7,"is_corresponding":false},{"id":105907,"name":"Carlos G. Grijalva","orcid":"0000-0002-2329-7797","position":8,"is_corresponding":false},{"id":105916,"name":"H. Keipp Talbot","orcid":"0000-0003-0141-1760","position":9,"is_corresponding":false},{"id":421983,"name":"Amanda C. Howa","orcid":"0000-0003-4160-5439","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T02:03:41.744499Z","pmid":"38700006","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}