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http://hdl.handle.net/1942/39343
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DC Field | Value | Language |
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dc.contributor.author | VERBEECK, Johan | - |
dc.contributor.author | FAJGENBLAT, Maxime | - |
dc.contributor.author | WILLEM, Lander | - |
dc.contributor.author | NEYENS, Thomas | - |
dc.contributor.author | FAES, Christel | - |
dc.contributor.author | HENS, Niel | - |
dc.contributor.author | Deboosere, Patrick | - |
dc.contributor.author | VERBEKE, Geert | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.date.accessioned | 2023-01-26T09:37:44Z | - |
dc.date.available | 2023-01-26T09:37:44Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2023-01-14T08:40:33Z | - |
dc.identifier.citation | ARCHIVES OF MEDICAL RESEARCH, 10 (9) | - |
dc.identifier.uri | http://hdl.handle.net/1942/39343 | - |
dc.description.abstract | Excess mortality, rather than reported COVID-19 deaths has been suggested to evaluate the impact of the SARS-CoV-2 induced Corona Virus Disease (COVID-19) pandemic on mortality. However, the relationship between excess mortality and COVID-19 mortality is perturbed by seasonal phenomena, such as extreme temperatures and seasonal influenza. Models used to estimate excess mortality often ignore these underlying patterns. We propose a dynamic linear state-space model to estimate all-cause mortality, which accounts for extreme temperatures above 25°C and seasonal influenza via the Goldstein index. The state-space model prediction of the excess mortality that is not explained by heat waves and seasonal influenza coincides with the reported COVID-19 mortality in the year 2020 in Belgium. | - |
dc.description.sponsorship | Funding CF and NH acknowledge funding from the Epipose project from the European Union's SC1-PHECORONAVIRUS-2020 programme, project number 101003688. Acknowledgements We are grateful for the ability to use the Belgian data on COVID-19 confirmed deaths and seasonal influenza cases (Sciensano, Belgium). Additionally, we would like to thank the Royal Meteorological Institute (RMI) of Belgium to provide data on temperature. The data providers hold no responsibility for the analyses reported in this manuscript. | - |
dc.language.iso | en | - |
dc.rights | 2022 European Society of Medicine. This is an open- access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | - |
dc.subject.other | all-cause mortality | - |
dc.subject.other | COVID-19 | - |
dc.subject.other | excess mortality | - |
dc.subject.other | heat wave | - |
dc.subject.other | seasonal influenza | - |
dc.subject.other | state-space model | - |
dc.title | Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in Belgium | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 9 | - |
dc.identifier.volume | 10 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | . https://doi.org/10.18103/mra. v10i9.3077 | - |
local.provider.type | - | |
local.uhasselt.international | no | - |
item.contributor | VERBEECK, Johan | - |
item.contributor | FAJGENBLAT, Maxime | - |
item.contributor | WILLEM, Lander | - |
item.contributor | NEYENS, Thomas | - |
item.contributor | FAES, Christel | - |
item.contributor | HENS, Niel | - |
item.contributor | Deboosere, Patrick | - |
item.contributor | VERBEKE, Geert | - |
item.contributor | MOLENBERGHS, Geert | - |
item.accessRights | Open Access | - |
item.fullcitation | VERBEECK, Johan; FAJGENBLAT, Maxime; WILLEM, Lander; NEYENS, Thomas; FAES, Christel; HENS, Niel; Deboosere, Patrick; VERBEKE, Geert & MOLENBERGHS, Geert (2022) Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in Belgium. In: ARCHIVES OF MEDICAL RESEARCH, 10 (9). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0188-4409 | - |
crisitem.journal.eissn | 1873-5487 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Verbeeck_2022_MRA_SSM.pdf | Published version | 336.41 kB | Adobe PDF | View/Open |
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