{"doi":"10.1101/2020.05.25.20112904","title":"Case fatality risk by age from COVID-19 in a high testing setting in Latin America: Chile, March-May, 2020","abstract":"Abstract Background Early severity estimates of COVID-19 are critically needed to better assess the potential impact of the ongoing pandemic in different socio-demographic groups. Using real-time epidemiological data from Chile, the nation in Latin America with the highest testing rate for COVID-19, we derive delay-adjusted severity estimates by age group as of May 18 th , 2020. Methods We employed statistical methods and daily series of age-stratified COVID-19 cases and deaths reported in Chile to estimate the delay-adjusted case fatality rate across six age groups. Results Our most recent estimates of the time-delay adjusted case fatality rate are 0.08% (95% Credible Interval CrI:0.04-0.13%) among persons aged 0-39, 0.61% (95%CrI:0.41-0.87%) for those aged 40-49, 1.06% (95%CrI:0.76-1.40%) for those aged 50-59, 3.79% (95%CrI:3.04-4.66%) for those aged 60-69, 12.22% (95%CrI:10.40-14.38%) for those aged 70-79, and 26.27% (95%CrI:22.95-2980%) for persons aged 80 and over. The overall time-delay adjusted case fatality rate is1.78% (95%CrI: 1.63-1.95%) across all age groups. Conclusions Severity estimates from COVID-19 in Chile indicate a disproportionate impact among seniors, especially among those aged ≥ 70 years. COVID-19 is imposing a high death toll in Latin America. Case fatality rates in Chile suggest the health system is not yet overwhelmed, but the epidemic is expanding fast.","journal":"medRxiv","year":2020,"id":119547,"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":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7156,"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":15756,"name":"Gerardo Chowell","orcid":"0000-0003-2194-2251","position":1,"is_corresponding":false},{"id":104301,"name":"Kenji Mizumoto","orcid":"0000-0002-2748-6560","position":2,"is_corresponding":false},{"id":22873,"name":"Eduardo A. Undurraga","orcid":"0000-0002-4425-1253","position":0,"is_corresponding":true}],"reference_count":42,"raw_metadata":null,"created_at":"2026-07-18T23:14:08.313144Z","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":[]}