Excess deaths during influenza and coronavirus disease and infection-fatality rate for severe acute respiratory syndrome coronavirus 2, the netherlands
Open accessAbstract
Since the 2009 influenza pandemic, the Netherlands has used a weekly death monitoring system to estimate deaths in excess of expectations. We present estimates of excess deaths during the ongoing coronavirus disease (COVID-19) epidemic and 10 previous influenza epidemics. Excess deaths per influenza epidemic averaged 4,000. The estimated 9,554 excess deaths (41% in excess) during the COVID-19 epidemic weeks 12-19 of 2020 appeared comparable to the 9,373 excess deaths (18%) during the severe influenza epidemic of 2017-18. However, these deaths occurred in a shorter time, had a higher peak, and were mitigated by nonpharmaceutical control measures. Excess deaths were 1.8-fold higher than reported laboratory-confirmed COVID-19 deaths (5,449). Based on excess deaths and preliminary results from seroepidemiologic studies, we estimated the infection-fatality rate to be 1%. Monitoring of excess deaths is crucial for timely estimates of disease burden for influenza and COVID-19. Our data complement laboratory-confirmed COVID-19 death reports and enable comparisons between epidemics.
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A study of all-cause excess mortality in the Netherlands reports a substantially higher IFR (1%).
“A study of all-cause excess mortality in the Netherlands reports a substantially higher IFR (1%) (Asten et al., 2021); however, all-cause mortality is not specific to COVID-19 (our estimate based on all-cause mortality is higher at 0.86% (0.72 – 0.99)).”
From Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022 (2023) · cites this paper as Asten et al., 2021
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Cites
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Flaxman, S., Mishra, S., Gandy, A., Unwin, H., Mellan, T., Coupland, H., Whittaker, C., Zhu, H., Berah, T., Eaton, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2405-7 · Cited by 3,072 · see citing works
The effect of large-scale anti-contagion policies on the COVID-19 pandemic
Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I. W., Chong, T., Druckenmiller, H., Huang, L. Y., Hultgren, A., Krasovich, E., et al. (2020) · Nature · doi:10.1038/s41586-020-2404-8 · Cited by 1,378 · see citing works
Cowling, B. J., Ali, S. T., Ng, T. W. Y., Tsang, T. K., Li, J. C. M., Fong, M. W., Liao, Q., Kwan, M. Y., Lee, S. L., Chiu, S. S., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30090-6 · Cited by 1,258 · see citing works
Methods for current statistical analysis of excess pneumonia-influenza deaths
Serfling, R. E. (1963) · Public Health Reports (1896-1970) · doi:10.2307/4591848 · Cited by 597 · see citing works
Estimates of US influenza‐associated deaths made using four different methods
Thompson, W., Weintraub, E., Dhankhar, P., Cheng, P., Brammer, L., Meltzer, M. I., Bresee, J., & Shay, D. K. (2009) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2009.00073.x · Cited by 394 · see citing works
COVID-19: a need for real-time monitoring of weekly excess deaths
Leon, D. A., Школьников, В. М., Smeeth, L. L., Magnus, P. M., Pechholdová, M., & Jarvis, C. I. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30933-8 · Cited by 231 · see citing works
Influenza surveillance in Europe: establishing epidemic thresholds by the Moving Epidemic Method
Vega, T., Alonso, J. E. L., Meerhoff, T. J., et al. (2012) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2012.00422.x · Cited by 202 · see citing works
van Asten, L., van den Wijngaard, C., van Pelt, W., van de Kassteele, J., Meijer, A., van der Hoek, W., Kretzschmar, M., & Koopmans, M. (2012) · The Journal of Infectious Diseases · doi:10.1093/infdis/jis415 · Cited by 196 · see citing works
Self-citationOlson, D. R., Huynh, M., Fine, A. D., Baumgartner, J., Castro, A., Chan, H. T., Daskalakis, D., Devinney, K., Guerra, K., Harper, S. A., et al. (2020) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6919e5 · Cited by 176 · see citing works
Assessment of Deaths From COVID-19 and From Seasonal Influenza
Faust, J. S., & del Rı́o, C. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.2306 · Cited by 172 · see citing works
Nielsen, J. O., Vestergaard, L. S., Richter, L., Schmid, D., Sierra, N. B., Asikainen, T., Trebbien, R., Denissov, G., Innos, K., Virtanen, M. J., et al. (2019) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.02.011 · Cited by 128 · see citing works
Excess all-cause and influenza-attributable mortality in Europe, December 2016 to February 2017
Vestergaard, L. S., Nielsen, J. O., Krause, T. G., Espenhain, L., Tersago, K., Sierra, N. B., Denissov, G., Innos, K., Virtanen, M. J., Fouillet, A., et al. (2017) · Eurosurveillance · doi:10.2807/1560-7917.es.2017.22.14.30506 · Cited by 120 · see citing works
Self-citationHanlon, P., Chadwick, F., Shah, A. S. V., Wood, R., Minton, J., McCartney, G., Fischbacher, C., Mair, F. S., Husmeier, D., Matthiopoulos, J., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15849.1 · Cited by 114 · see citing works
Michelozzi, P., de'Donato, F. K., Scortichini, M., Sario, M. D., Noccioli, F., Rossi, P., & Davoli, M. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.19.2000620 · Cited by 99 · see citing works
Hanlon, P., Chadwick, F., Shah, A. S. V., Wood, R., Minton, J., McCartney, G., Fischbacher, C., Mair, F. S., Husmeier, D., Matthiopoulos, J., et al. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15849.3 · Cited by 92 · see citing works
Excess mortality among the elderly in European countries, December 2014 to February 2015
Mølbak, K., Espenhain, L., Nielsen, J. O., et al. (2015) · Eurosurveillance · doi:10.2807/1560-7917.es2015.20.11.21065 · Cited by 90 · see citing works
Green, H. K., Andrews, N. J., Fleming, D., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079360 · Cited by 41 · see citing works
Nielsen, J. O., Mazick, A., Andrews, N., Detsis, M., Fenech, T. M., FLORES, V. M., FOULLIET, A., Gergonne, B., Green, H., Junker, C., et al. (2012) · Epidemiology and Infection · doi:10.1017/s0950268812002580 · Cited by 37 · see citing works
Evaluation of the French reactive mortality surveillance system supporting decision making
Baghdadi, Y., Gallay, A., Caserio‐Schönemann, C., & Fouillet, A. (2018) · European Journal of Public Health · doi:10.1093/eurpub/cky251 · Cited by 16 · see citing works
van Asten, L., Pinzon, A. L., van de Kassteele, J., et al. (2020) · Influenza and Other Respiratory Viruses · doi:10.1111/irv.12759 · Cited by 11 · see citing works
Surveillance of influenza and other respiratory infections in the Netherlands: winter 2014/2015
Ac, T., van Asten, L., Brandsema, P. S., et al. (2015) · Rivm Repository (Netherlands National Institute for Public Health and the Environment) · Cited by 9 · see citing works
Surveillance of influenza and other respiratory infections: winter 2018/2019. Annual report
Reukers, D., van Asten, L., Brandsema, P. S., et al. (2019) · Rivm (National Institute for Public Health and the Environment) · doi:10.21945/rivm-2019-0079 · Cited by 3 · see citing works
Ac, T., van Asten, L., Brandsema, P. S., et al. (2016) · Rivm (National Institute for Public Health and the Environment) · Cited by 2 · see citing works
Mortality surveillance in the Netherlands: severity of winter 2016/2017
van Asten, L., de Lange, M., Teirlinck, A. C., et al. (2018) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v10i1.8946 · Cited by 2 · see citing works
Self-citationMortality Monitoring in the Netherlands
van Asten, L., de Lange, M., Harmsen, C. N., et al. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v6i1.5130 · Cited by 1 · see citing works
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Research works printed but not linked: 2
- [8]van Asten LW, Harmsen C, van Gageldonk C, van Pelt R, van Vliet W, van der Sande H, et al. M., Syndromic surveillance with death data: is crude mortality data suitable for real time surveillance? Advances in Disease Surveillance. 2007; 4: 269.
- [15]Bulletin of Influenza Surveillance. Number of ILI patients above epidemic threshold, 2020 [in Dutch] [ cited 2020 Nov 15]. https://www.nivel.nl/sites/default/files/influenza-nieuwsbrief/NB_2019_2020_no5.pdf
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Lee, W.-E., Woo Park, S., Weinberger, D. M., Olson, D., Simonsen, L., Grenfell, B. T., & Viboud, C. (2023) · eLife · doi:10.7554/elife.77562 · Cited by 90 · see citing works
- Authors
- van Asten, L., Harmsen, C. N., Stoeldraijer, L., Klinkenberg, D., Teirlinck, A. C., de Lange, M. M. A., Meijer, A., van de Kassteele, J., van Gageldonk-Lafeber, A. B., van den Hof, S., & van der Hoek, W.
- Affiliations
- National Institute for Public Health and the Environment (NL)
- Venue
- Emerging infectious diseases
- Published
- 2021-02
- Volume
- 27
- Issue
- 2
- Pages
- 411-420
- ISSN
- 1080-6040 (ISSN-L)
- 1080-6059
- PMC
- PMC7853586
- OpenAlex
- W3118478780
- Cited by
- 20
- References
- 25
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 6
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Emerging infectious diseases (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Keywords
- excess mortality, COVID-19 pandemic, SARS-CoV-2, influenza epidemic, infection fatality rate, non-pharmaceutical interventions, disease burden estimation, 2017-2018 influenza season, 2009 H1N1 pandemic, seroepidemiology, Netherlands
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Influenza, Human, Mortality, Netherlands, Orthomyxoviridae, Seasons, Epidemics
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