{"doi":"10.1093/infdis/jis745","title":"Age- and Sex-Specific Mortality Associated With the 1918–1919 Influenza Pandemic in Kentucky","abstract":null,"journal":"The Journal of Infectious Diseases","year":2013,"id":673400,"datarank":0.6782682865573562,"base_score":4.5217885770490405,"endowment":4.5217885770490405,"self_citation_contribution":0.6782682865573562,"citation_network_contribution":0.0,"self_endowment_contribution":0.6782682865573562,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":91,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1759410,"name":"Jana Eisenstein","orcid":null,"position":1,"is_corresponding":false},{"id":1595541,"name":"Ann H. Reid","orcid":null,"position":2,"is_corresponding":false},{"id":1595542,"name":"Thomas A. Janczewski","orcid":null,"position":3,"is_corresponding":false},{"id":146161,"name":"David M. Morens","orcid":null,"position":4,"is_corresponding":false},{"id":233147,"name":"Jeffery K. Taubenberger","orcid":"0000-0002-9694-7228","position":5,"is_corresponding":false},{"id":110469,"name":"Cécile Viboud","orcid":"0000-0003-3243-4711","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Age- and Sex-Specific Mortality Associated With the 1918–1919 Influenza Pandemic in Kentucky","abstract":"BACKGROUND: The reasons for the unusual age-specific mortality patterns of the 1918-1919 influenza pandemic remain unknown. Here we characterize pandemic-related mortality by single year of age in a unique statewide Kentucky data set and explore breakpoints in the age curves. METHODS: Individual death certificates from Kentucky during 1911-1919 were abstracted by medically trained personnel. Pandemic-associated excess mortality rates were calculated by subtracting observed rates during pandemic months from rates in previous years, separately for each single year of age and by sex. RESULTS: The age profile of excess mortality risk in fall 1918 was characterized by a maximum among infants, a minimum at ages 9-10 years, a maximum at ages 24-26 years, and a second minimum at ages 56-59 years. The excess mortality risk in young adults had been greatly attenuated by winter 1919. The age breakpoints of mortality risk did not differ between males and females. CONCLUSIONS: The observed mortality breakpoints in male and female cohorts born during 1859-1862, 1892-1894, and 1908-1909 did not coincide with known dates of historical pandemics. The atypical age mortality patterns of the 1918-1919 pandemic cannot be explained by military crowding, war-related factors, or prior immunity alone and likely result from a combination of unknown factors.","is_dataset_classified":null,"base_score":4.5217885770490405,"endowment":4.5217885770490405,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23230061","pmcid":"PMC3563305","openalex_id":"https://openalex.org/W2162112824","authors":[],"funders":[],"total_grants":0,"fwci":3.3008,"citation_percentile":0.92317888,"influential_citations":0,"citation_trend":[{"year":2013,"count":6},{"year":2014,"count":8},{"year":2015,"count":3},{"year":2016,"count":5},{"year":2017,"count":3},{"year":2018,"count":11},{"year":2019,"count":4},{"year":2020,"count":14},{"year":2021,"count":14},{"year":2022,"count":7},{"year":2023,"count":4},{"year":2024,"count":7},{"year":2025,"count":2},{"year":2026,"count":2}],"oa_status":"bronze","license":null,"oa_locations":[{"url":"https://academic.oup.com/jid/article-pdf/207/5/721/18068433/jis745.pdf","host_type":"journal"},{"url":"https://academic.oup.com/jid/article-pdf/207/5/721/18068433/jis745.pdf","host_type":"publisher"},{"url":"http://academic.oup.com/jid/article-pdf/207/5/721/18068433/jis745.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/infdis/jis745","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/23230061","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3563305","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC3563305","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC3563305?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Influenza Virus Research Studies","COVID-19 epidemiological studies","Insurance, Mortality, Demography, Risk Management","Adolescent","Adult","Age Factors","Aged","Aged, 80 and over","Child","Child, Preschool","Female","Humans","Infant","Infant, Newborn","Influenza, Human","Kentucky","Male","Middle Aged","Pandemics","Sex Factors","Survival Analysis","Young Adult"],"mesh_terms":["Adolescent","Adult","Age Factors","Aged","Aged, 80 and over","Child","Child, Preschool","Female","Humans","Infant","Infant, Newborn","Influenza, Human","Kentucky","Male","Middle Aged","Sex Factors","Survival Analysis","Young Adult","Pandemics"],"keywords":["Demography","Pandemic","Influenza pandemic","Excess mortality","Mortality rate","Crowding","Medicine","Young adult","Coronavirus disease 2019 (COVID-19)","Gerontology","Disease","Biology","Internal medicine","Infectious disease (medical specialty)"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-16T13:19:13.734887Z","pmid":null,"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":[]}