{"doi":"10.1016/j.ijid.2020.10.037","title":"Monitoring the mortality impact of COVID-19 in Europe: What can be learned from 2009 influenza H1N1p mortality studies?","abstract":null,"journal":"International Journal of Infectious Diseases","year":2021,"id":601071,"datarank":0.3453877639491069,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.0,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"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":64992,"name":"Robert J. Taylor","orcid":"0000-0002-6106-7722","position":1,"is_corresponding":false},{"id":856925,"name":"Peter Spreeuwenberg","orcid":null,"position":2,"is_corresponding":false},{"id":1020783,"name":"Saverio Caini","orcid":"0000-0002-2262-1102","position":3,"is_corresponding":false},{"id":226289,"name":"Lone Simonsen","orcid":"0000-0003-1535-8526","position":4,"is_corresponding":false},{"id":341020,"name":"John Paget","orcid":"0000-0002-1503-2481","position":5,"is_corresponding":false},{"id":878433,"name":"Lisa Staadegaard","orcid":"0000-0002-6985-3541","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Monitoring the mortality impact of COVID-19 in Europe: What can be learned from 2009 influenza H1N1p mortality studies?","abstract":"OBJECTIVES: Understanding the proportion of pandemic deaths captured as 'laboratory-confirmed' deaths is crucial. We assessed the ability of laboratory-confirmed deaths to capture mortality in the EU during the 2009 pandemic, and examined the likelihood that these findings are applicable to the SARS-CoV-2 pandemic. METHODS: We present unpublished results from the Global Pandemic Mortality (GLaMOR) project, in which country-specific mortality estimates were made for the 2009 influenza H1N1p pandemic. These estimates were compared with laboratory-confirmed deaths during the 2009 pandemic to estimate the ability of surveillance systems to capture pandemic mortality. RESULTS: For the 2009 influenza H1N1p pandemic, we estimated that the proportion of true pandemic deaths captured by laboratory-confirmed deaths was approximately 67%. Several differences between the two pandemics (e.g. age groups affected) make it unlikely that this capture rate will be equally high for SARS-CoV-2. CONCLUSION: The surveillance of laboratory-confirmed deaths in the EU during the 2009 pandemic was more accurate than previously assumed. We hypothesize that this method is less reliable for SARS-CoV-2. Near-real-time excess all-cause mortality estimates, routinely compiled by EuroMOMO, probably offer a better indicator of pandemic mortality. We urge more countries to join this project and that national-level absolute mortality numbers are presented.","is_dataset_classified":null,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"33075528","pmcid":"PMC7566873","openalex_id":"https://openalex.org/W3092670913","authors":[],"funders":[{"funder_name":"NIVEL (APW","grant_id":"20043611 and","title":null},{"funder_name":"NIVEL (APW","grant_id":"200617995).","title":null}],"total_grants":2,"fwci":0.6842,"citation_percentile":0.71226786,"influential_citations":0,"citation_trend":[{"year":2020,"count":1},{"year":2021,"count":4},{"year":2022,"count":4}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"http://www.ijidonline.com/article/S1201971220322414/pdf","host_type":"journal"},{"url":"http://www.ijidonline.com/article/S1201971220322414/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1201971220322414?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1201971220322414?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.ijid.2020.10.037","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/33075528","host_type":"repository"},{"url":"https://forskning.ruc.dk/da/publications/419b54c2-a75a-4283-bfd4-c67bc6c7a4e2","host_type":"repository"},{"url":"https://www.nivel.nl/nl/publicaties/7470","host_type":"repository"},{"url":"https://doaj.org/article/f585bd92a3344400a947234914bfcf4a","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7566873","host_type":"repository"},{"url":"https://forskning.ruc.dk/files/77650538/PIIS1201971220322414.pdf","host_type":"Unpaywall"},{"url":"https://europepmc.org/articles/PMC7566873","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC7566873?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["COVID-19 and healthcare impacts","COVID-19 epidemiological studies","Census and Population Estimation"],"mesh_terms":["COVID-19","SARS-CoV-2","Europe","Humans","Influenza, Human","Time Factors","Influenza A Virus, H1N1 Subtype"],"keywords":["Coronavirus disease 2019 (COVID-19)","2019-20 coronavirus outbreak","Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","Geography","Virology","Medicine","Environmental health","Demography","Internal medicine","Outbreak","Sociology","Mortality","Influenza","Surveillance","Europe","Covid-19"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"doi"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-29T15:01:39.257249Z","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":[]}