{"doi":"10.1101/2020.11.03.20225482","title":"Using Capture-Recapture Methods to Estimate Influenza Hospitalization Incidence Rates","abstract":"BACKGROUND: Accurate population estimates of disease incidence and burden are needed to set appropriate public health policy. The capture-recapture (C-R) method combines data from multiple sources to provide better estimates than is possible using single sources. METHODS: Data were derived from clinical virology test results and from an influenza vaccine effectiveness study from seasons 2016-2017 to 2018-2019. The Petersen C-R method was used to estimate the population size of influenza cases; these estimates were then used to calculate adult influenza hospitalization burden using a Centers for Disease Control and Prevention (CDC) multiplier method. RESULTS: Over all seasons, 343 influenza cases were reported in the clinical database and 313 in the research database. Fifty-nine cases (17%) reported in the clinical database were not captured in the research database, and 29 (9%) cases in the research database were not captured in the clinical database. Influenza hospitalizations were higher among vaccinated (58%) than the unvaccinated (35%) in the current season and were similar among unvaccinated (51%) and vaccinated (49%) in the previous year. Completeness of the influenza hospitalization capture was estimated to be 76%. The incidence rates for influenza hospitalizations varied by age and season and averaged 307-309 cases/100,000 adult population annually. CONCLUSION: Using Capture-Recapture methods with more than one database, along with a multiplier method with adjustments improves the population estimates of influenza disease burden compared with relying on a single data source.","journal":"medRxiv","year":2020,"id":131525,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7463,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":264490,"name":"Mary Patricia Nowalk","orcid":"0000-0002-1702-2690","position":1,"is_corresponding":false},{"id":315704,"name":"Lloyd Clarke","orcid":null,"position":2,"is_corresponding":false},{"id":586310,"name":"Klancie Dauer","orcid":null,"position":3,"is_corresponding":false},{"id":335126,"name":"Fernanda P. Silveira","orcid":"0000-0002-1473-0878","position":4,"is_corresponding":false},{"id":335917,"name":"Donald B. Middleton","orcid":null,"position":5,"is_corresponding":false},{"id":335141,"name":"Mohamed Yassin","orcid":"0009-0004-9983-4220","position":6,"is_corresponding":false},{"id":264489,"name":"Richard K. Zimmerman","orcid":"0000-0001-5941-6092","position":7,"is_corresponding":false},{"id":268706,"name":"G.K. Balasubramani","orcid":"0000-0001-7221-1825","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:16:03.875886Z","pmid":"33173888","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":[]}