Unraveling the impact of the COVID-19 pandemic on the mortality trends in Belgium between 2020-2022.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 03 05 2024
accepted: 15 10 2024
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 21 10 2024
Statut: epublish

Résumé

Over the past four years, the COVID-19 pandemic has exerted a profound impact on public health, including on mortality trends. This study investigates mortality patterns in Belgium by examining all-cause mortality, excess mortality, and cause-specific mortality. We retrieved all-cause mortality data from January 1, 2009, to December 31, 2022, stratified by age group and sex. A linear mixed model, informed by all-cause mortality from 2009 to 2019, was used to predict non-pandemic all-cause mortality rates in 2020-2022 and estimate excess mortality. Further, we also analyzed trends in cause-specific and premature mortality. Different all-cause mortality patterns could be observed between the younger (<45 years) and older age groups. The impact of the COVID-19 pandemic was particularly evident among older age groups. The highest excess mortality occurred in 2020, while a reversal in this trend was evident in 2022. We observed a notable effect of COVID-19 on cause-specific and premature mortality patterns over the three-year period. Despite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead.

Sections du résumé

BACKGROUND BACKGROUND
Over the past four years, the COVID-19 pandemic has exerted a profound impact on public health, including on mortality trends. This study investigates mortality patterns in Belgium by examining all-cause mortality, excess mortality, and cause-specific mortality.
METHODS METHODS
We retrieved all-cause mortality data from January 1, 2009, to December 31, 2022, stratified by age group and sex. A linear mixed model, informed by all-cause mortality from 2009 to 2019, was used to predict non-pandemic all-cause mortality rates in 2020-2022 and estimate excess mortality. Further, we also analyzed trends in cause-specific and premature mortality.
RESULTS RESULTS
Different all-cause mortality patterns could be observed between the younger (<45 years) and older age groups. The impact of the COVID-19 pandemic was particularly evident among older age groups. The highest excess mortality occurred in 2020, while a reversal in this trend was evident in 2022. We observed a notable effect of COVID-19 on cause-specific and premature mortality patterns over the three-year period.
CONCLUSIONS CONCLUSIONS
Despite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead.

Identifiants

pubmed: 39434002
doi: 10.1186/s12889-024-20415-x
pii: 10.1186/s12889-024-20415-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2916

Informations de copyright

© 2024. The Author(s).

Références

World Health Organization. WHO Coronavirus (COVID-19) Dashboard. 2023. https://covid19.who.int/ . Accessed 10 Nov 2023.
Mallah SI, Ghorab OK, Al-Salmi S, Abdellatif OS, Tharmaratnam T, Iskandar MA, et al. COVID-19: breaking down a global health crisis [Journal Article]. Ann Clin Microbiol Antimicrob. 2021;20(1):35. https://doi.org/10.1186/s12941-021-00438-7 .
doi: 10.1186/s12941-021-00438-7 pubmed: 34006330 pmcid: 8129964
Molenberghs G, Faes C, Verbeeck J, Deboosere P, Abrams S, Willem L, et al. COVID-19 mortality, excess mortality, deaths per million and infection fatality ratio, Belgium, 9 March 2020 to 28 June 2020 [Journal Article]. Eurosurveillance. 2022;27(7):2002060. https://doi.org/10.2807/1560-7917.ES.2022.27.7.2002060 .
doi: 10.2807/1560-7917.ES.2022.27.7.2002060 pubmed: 35177167 pmcid: 8855510
Verbeeck J, Faes C, Neyens T, Hens N, Verbeke G, Deboosere P, et al. A linear mixed model to estimate COVID-19-induced excess mortality [Journal Article]. Biometrics. 2021. https://doi.org/10.1111/biom.13578 .
COVID-19 Forecasting Team. Variation in the COVID-19 infection-fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis [Journal Article]. Lancet. 2022;399(10334):1469–1488. https://doi.org/10.1016/s0140-6736(21)02867-1 .
Torres I, Sippy R, Sacoto F. Assessing critical gaps in COVID-19 testing capacity: the case of delayed results in Ecuador [Journal Article]. BMC Public Health. 2021;21(1):637. https://doi.org/10.1186/s12889-021-10715-x .
doi: 10.1186/s12889-021-10715-x pubmed: 33794837 pmcid: 8013207
Mosi L, Sylverken AA, Oyebola K, Badu K, Dukhi N, Goonoo N, et al. Correlating WHO COVID-19 interim guideline 2020.5 and testing capacity, accuracy, and logistical challenges in Africa [Journal Article]. Pan Afr Med J. 2021;39:89.
doi: 10.11604/pamj.2021.39.89.27522 pubmed: 34466191 pmcid: 8379409
Checchi F, Roberts L. Interpreting and using mortality data in humanitarian emergencies: a primer for non-epidemiologists. 2005. https://odihpn.org/wp-content/uploads/2005/09/networkpaper052.pdf . Accessed 10 Nov 2023.
Msemburi W, Karlinsky A, Knutson V, Aleshin-Guendel S, Chatterji S, Wakefield J. The WHO estimates of excess mortality associated with the COVID-19 pandemic [Journal Article]. Nature. 2023;613(7942):130–7. https://doi.org/10.1038/s41586-022-05522-2 .
doi: 10.1038/s41586-022-05522-2 pubmed: 36517599
Bustos Sierra N, Bossuyt N, Braeye T, Leroy M, Moyersoen I, Peeters I, et al. All-cause mortality supports the COVID-19 mortality in Belgium and comparison with major fatal events of the last century [Journal Article]. Arch Public Health. 2020;78(1):117. https://doi.org/10.1186/s13690-020-00496-x .
doi: 10.1186/s13690-020-00496-x pubmed: 33292536 pmcid: 7662738
Vestergaard LS, Nielsen J, Richter L, Schmid D, Bustos N, Braeye T, et al. Excess all-cause mortality during the COVID-19 pandemic in Europe - preliminary pooled estimates from the EuroMOMO network, March to April 2020 [Journal Article]. Euro Surveill. 2020;25(26). https://doi.org/10.2807/1560-7917.Es.2020.25.26.2001214 .
Faes C, Abrams S, Van Beckhoven D, Meyfroidt G, Vlieghe E, Hens N. Time between Symptom Onset, Hospitalisation and Recovery or Death: Statistical Analysis of Belgian COVID-19 Patients [Journal Article]. Int J Environ Res Public Health. 2020;17(20). https://doi.org/10.3390/ijerph17207560 .
Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips T, et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker. Nat Hum Behav. 2021;5:529–38.
doi: 10.1038/s41562-021-01079-8 pubmed: 33686204
McNeil N, Odton P, Ueranantasun A. Spline interpolation of demographic data revisited [Journal Article]. Sonklanakarin J Sci Technol. 2011;33(1):117.
Bonneux L. How to measure the burden of mortality? [Journal Article]. J Epidemiol Community Health. 2002;56(2):128–31. https://doi.org/10.1136/jech.56.2.128 .
doi: 10.1136/jech.56.2.128 pubmed: 11812812 pmcid: 1732067
Peretz C, Rotem N, Keinan-Boker L, Furshpan A, Green M, Bitan M, et al. Excess mortality in Israel associated with COVID-19 in 2020–2021 by age group and with estimates based on daily mortality patterns in 2000–2019 [Journal Article]. Int J Epidemiol. 2022;51(3):727–36. https://doi.org/10.1093/ije/dyac047 .
doi: 10.1093/ije/dyac047 pubmed: 35356971
Islam N, Shkolnikov VM, Acosta RJ, Klimkin I, Kawachi I, Irizarry RA, et al. Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries [Journal Article]. BMJ. 2021;373:n1137. https://doi.org/10.1136/bmj.n1137 .
doi: 10.1136/bmj.n1137 pubmed: 34011491
Natalia YA, Faes C, Neyens T, Molenberghs G. The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education [Journal Article]. PLoS ONE. 2022;17(2):e0264516. https://doi.org/10.1371/journal.pone.0264516 .
doi: 10.1371/journal.pone.0264516 pubmed: 35213651 pmcid: 8880857
Lange SJ, Ritchey MD, Goodman AB, Dias T, Twentyman E, Fuld J, et al. Potential Indirect Effects of the COVID-19 Pandemic on Use of Emergency Departments for Acute Life-Threatening Conditions - United States, January-May 2020 [Journal Article]. MMWR Morb Mortal Wkly Rep. 2020;69(25):795–800. https://doi.org/10.15585/mmwr.mm6925e2 .
doi: 10.15585/mmwr.mm6925e2 pubmed: 32584802 pmcid: 7316316
Khan Y, Verhaeghe N, Devleesschauwer B, Cavillot L, Gadeyne S, Pauwels NS, et al. Impact of the COVID-19 pandemic on delayed care of cardiovascular diseases in Europe: a systematic review [Journal Article]. Lancet. 2023;402:S61. https://doi.org/10.1016/S0140-6736(23)02117-7 .
doi: 10.1016/S0140-6736(23)02117-7 pubmed: 37997105
Bahk J, Jung-Choi K. Cause-specific mortality in Korea during the first year of the COVID-19 pandemic [Journal Article]. Epidemiol Health. 2022;44:e2022110. https://doi.org/10.4178/epih.e2022110 .
doi: 10.4178/epih.e2022110 pubmed: 36470264 pmcid: 10106553
Gayawan E, Lima EEC. A spatio-temporal analysis of cause-specific mortality in São Paulo State, Brazil [Journal Article]. Cien Saude Colet. 2022;27(1):287–98. https://doi.org/10.1590/1413-81232022271.32472020 .
doi: 10.1590/1413-81232022271.32472020 pubmed: 35043908
Lee WE, Woo Park S, Weinberger DM, Olson D, Simonsen L, Grenfell BT, et al. Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022 [Journal Article]. eLife. 2023;12:e77562. https://doi.org/10.7554/eLife.77562 .
doi: 10.7554/eLife.77562 pubmed: 36811598 pmcid: 9946455
Weber T, Amar J, de Backer T, Burkard T, van der Giet M, Gosse P, et al. Covid-19 associated reduction in hypertension-related diagnostic and therapeutic procedures in Excellence Centers of the European Society of Hypertension [Journal Article]. Blood Press. 2022;31(1):71–9. https://doi.org/10.1080/08037051.2022.2060182 .
doi: 10.1080/08037051.2022.2060182 pubmed: 35465794
Quaglio G, Cavallin F, Nsubuga JB, Lochoro P, Maziku D, Tsegaye A, et al. The impact of the COVID-19 pandemic on health service use in sub-Saharan Africa [Journal Article]. Public Health Action. 2022;12(1):34–9. https://doi.org/10.5588/pha.21.0073 .
doi: 10.5588/pha.21.0073 pubmed: 35317534 pmcid: 8908870
Mafi JN, Craff M, Vangala S, Pu T, Skinner D, Tabatabai-Yazdi C, et al. Trends in US Ambulatory Care Patterns During the COVID-19 Pandemic, 2019–2021 [Journal Article]. Jama. 2022;327(3):237–47. https://doi.org/10.1001/jama.2021.24294 .
De Pauw R, Gorasso V, Scohy A, Nayani S, Claerman R, Van den Borre L, et al. BeBOD estimates of mortality, years of life lost, prevalence, years lived with disability, and disability-adjusted life years for 38 causes, 2013–2021. Zenodo. 2024. https://doi.org/10.5281/zenodo.13378154 .
Devleesschauwer B, Scohy A, De Pauw R, Gorasso V, Kongs A, Neirynck E, et al. Investigating years of life lost in Belgium, 2004–2019: A comprehensive analysis using a probabilistic redistribution approach [Journal Article]. Arch Public Health. 2023;81(1):160. https://doi.org/10.1186/s13690-023-01163-7 .
doi: 10.1186/s13690-023-01163-7 pubmed: 37626403 pmcid: 10464430
Astengo M, Tassinari F, Paganino C, Simonetti S, Gallo D, Amicizia D, et al. Weight of risk factors for mortality and short-term mortality displacement during the COVID-19 pandemic [Journal Article]. J Prev Med Hyg. 2021;62(4):E864-e870. https://doi.org/10.15167/2421-4248/jpmh2021.62.4.2269 .
Walkowiak MP, Domaradzki J, Walkowiak D. Unmasking the COVID-19 pandemic prevention gains: excess mortality reversal in 2022 [Journal Article]. Public Health. 2023;223:193–201. https://doi.org/10.1016/j.puhe.2023.08.004 .
doi: 10.1016/j.puhe.2023.08.004 pubmed: 37672832
Sciensano. Infectious diseases dashboard. https://epistat.sciensano.be/dashboard/ . Accessed 13 Dec 2023.
Sciensano. Belgian mortality monitoring (BE-MOMO). https://epistat.sciensano.be/momo/ . Accessed 13 Dec 2023.

Auteurs

Yessika Adelwin Natalia (YA)

Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium. yessikaadelwin.natalia@uhasselt.be.

Johan Verbeeck (J)

Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.

Christel Faes (C)

Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.

Thomas Neyens (T)

Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.
Leuven Biostatistics and Statistical Bioinformatics Centre, I-Biostat, KU Leuven, Leuven, Belgium.

Geert Molenberghs (G)

Data Science Institute, I-Biostat, Hasselt University, Hasselt, Belgium.
Leuven Biostatistics and Statistical Bioinformatics Centre, I-Biostat, KU Leuven, Leuven, Belgium.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH