Monitoring the mortality impact of COVID-19 in Europe: What can be learned from 2009 influenza H1N1p mortality studies?
| dc.creator | Staadegaard, Lisa | |
| dc.creator | Taylor, Robert J. | |
| dc.creator | Spreeuwenberg, Peter | |
| dc.creator | Caini, Saverio | |
| dc.creator | Simonsen, Lone | |
| dc.creator | Paget, John | |
| dc.date.accessioned | 2020-10-21T20:20:02Z | |
| dc.date.available | 2020-10-21T20:20:02Z | |
| dc.date.created | 2020 | |
| dc.description.abstract | Objectives: Understanding the proportion of pandemic deaths captured as “laboratoryconfirmed” 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 Methods: We present unpublished results from the Global Pandemic Mortality (GLaMOR) project, in which country-specific mortality estimates were made for the 2009 influenza H1N1p pandemic.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 to 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 (e.g. age groups affected) between the two pandemics 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 form a better indicator of pandemic mortality. We urge more countries to join this project and that national level absolute mortality numbers are presented. | spa |
| dc.format.extent | 12 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.doi | https://doi.org/10.1016/j.ijid.2020.10.037 | spa |
| dc.identifier.issn | 1201-9712 | spa |
| dc.identifier.other | https://doi.org/10.1016/j.ijid.2020.10.037 | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12010/14673 | |
| dc.language.iso | eng | spa |
| dc.publisher | International Journal of Infectious Diseases | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
| dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
| dc.subject | Influenza | spa |
| dc.subject | COVID-19 | spa |
| dc.subject | Mortality | spa |
| dc.subject | Surveillance | spa |
| dc.subject | Europe | spa |
| dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
| dc.subject.lemb | COVID-19 | spa |
| dc.subject.lemb | SARS-CoV-2 | spa |
| dc.subject.lemb | Coronavirus | spa |
| dc.title | Monitoring the mortality impact of COVID-19 in Europe: What can be learned from 2009 influenza H1N1p mortality studies? | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Artículo | spa |
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