The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Sex and age differences in COVID-19 mortality in Europe
Open accessPublished version of a preprint
Abstract
Aim To examine the magnitude of sex differences in survival from the coronavirus disease 2019 (COVID-19) in Europe across age groups and regions. We hypothesized that men have a higher mortality than women at any given age but that sex differences will decrease with age as only the healthiest men survive to older ages.Methods We used population data from the Institut National D'Études Démographiques on cumulative deaths due to COVID-19 from February to June 2020 in 10 European regions: Denmark, Norway, Sweden, The Netherlands, England and Wales, France, Germany, Italy, Spain and Portugal. For each region, we calculated cumulative mortality rates stratified by age and sex and corresponding relative risks for men vs. women.Results The relative risk of dying from COVID-19 was higher for men than for women in almost all age groups in all regions. The overall relative risk ranged from 1.11 (95% confidence interval, CI 1.01-1.23) in Portugal to 1.54 (95% CI 1.49-1.58) in France. In most regions, sex differences increased until the ages of 60-69 years, but decreased thereafter with the smallest sex difference at age 80+ years.Conclusion Despite variability in data collection and time coverage among regions, the study showed an overall similar pattern of sex differences in COVID-19 mortality in Europe.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Death rates from COVID-19 tend to be higher among males than females, with higher case-fatality rates among older age groups”
From Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries (2022) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370
Gender Differences in Patients With COVID-19: Focus on Severity and Mortality
Jin, J., Bai, P., He, W. W., Wu, F., Liu, X., Han, D.-M., Liu, S., & Yang, J. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00152 · Cited by 2,386
COVID-19 and smoking: A systematic review of the evidence
Vardavas, C. I., & Nikitara, K. (2020) · Tobacco Induced Diseases · doi:10.18332/tid/119324 · Cited by 1,421
Impact of sex and gender on COVID-19 outcomes in Europe
Gebhard, C., Regitz‐Zagrosek, V., Neuhauser, H. K., Morgan, R., & Klein, S. L. (2020) · Biology of Sex Differences · doi:10.1186/s13293-020-00304-9 · Cited by 1,333
Sex differences in autoimmune disease
Whitacre, C. C. (2001) · Nature Immunology · doi:10.1038/ni0901-777 · Cited by 1,294
Men: good health and high mortality. Sex differences in health and aging
Oksuzyan, A., Juel, K., Vaupel, J. W., & Christensen, K. (2008) · Aging Clinical and Experimental Research · doi:10.1007/bf03324754 · Cited by 692
Self-citationSex differences in morbidity and mortality
Case, A. C., & Paxson, C. H. (2005) · Demography · doi:10.1353/dem.2005.0011 · Cited by 671
Austad, S. N., & Fischer, K. E. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.019 · Cited by 619
Gender differences in health: results from SHARE, ELSA and HRS
Crimmins, E. M., Kim, J. K., & Solé-Auró, A. (2010) · European Journal of Public Health · doi:10.1093/eurpub/ckq022 · Cited by 525
Cited by
Sorted by citations
Items 101–160 of 160
Vitamin D Deficiency - New Insights
Fedotova, J. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.100904 · Cited by 1
Zero Interest Policy and the New Abnormal
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.001.0001 · Cited by 1
Oscanoa, T. J., Amado, J., Ayala, R., Mamani-Quiroz, R., Matta-Pérez, J., Ardiles-Melgarejo, A., Marcos-Hernández, C., Taype-Huamaní, W., Rojas-Guimaray, J., Matos-Santiváñez, S., et al. (2022) · Journal of Gerontology and Geriatrics · doi:10.36150/2499-6564-n470 · Cited by 1
Lee, S., Chung, C., Park, D., Kang, D. H., Ju, Y.-R., & Lee, J. E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12031118 · Cited by 1
Gender Impact Assessment of the COVID-19 Pandemic in Ukraine
Ivanov, I. L., & Александрович, Б. И. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-30251-0_5 · Cited by 1
Bahaloohoreh, A., & Khoshakhlagh, H. (2023) · مجله علمی دانشگاه علوم پزشکی رفسنجان · doi:10.61186/jrums.22.9.979 · Cited by 1
SARS-CoV-2 infection risk by non-healthcare occupations: a systematic review and meta-analysis
Gabriel, K. M. A., Schröder, C., Wolf, R. M., Bolm‐Audorff, U., Kienast, C., Smolinska, J., Petereit-Haack, G., & Seidler, A. (2025) · Journal of Occupational Medicine and Toxicology · doi:10.1186/s12995-025-00462-9 · Cited by 1
Tavakolian, A., Shahri, S. H. A., Jafari, M. A., Pishbin, E., Moghaddam, H. Z., Foroughian, M., & Reihani, H. (2022) · Archives of Academic Emergency Medicine · doi:10.22037/aaem.v10i1.1568 · Cited by 1
Role of Vitamin D in Patients with Schizophrenia Suffering from COVID-19
Gholami, F., Farshid, S., Soleimani, P., & Valizadeh, R. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.108352 · Cited by 1
A Covid19-járvány néhány demográfiai jellemzője 2020-ban és 2021-ben Magyarországon
Bálint, L. (2022) · Társadalmi riport · doi:10.61501/trip.2022.17 · Cited by 1
In-hospital Mortality in SARS-CoV-2 stratified by Gender: A Retrospective StudyPreprint
Al‐Jarallah, M., Rajan, R., Dashti, R., Alsabar, A. R., Pan, J., Kobalava, Z. D., Abdelnaby, H., Aboelhassan, W., Almutairi, F., Alotaibi, N. M., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-727098/v1 · Cited by 1
Zieliński, J., Gruziel-Słomka, M., Nowosielski, J., Bartczuk, R., Niedzielewski, K., Semeniuk, M., Górski, Ł., Kisielewski, J., Moszyński, A., Radwan, M., et al. (2021) · medRxiv · doi:10.1101/2021.09.06.21263031 · Cited by 1
Gender and Age Differences in COVID-19 in Iraqi Patient Detected By Real-Time PCR
Abbas, Z. F., & Hasan, B. J. (2021) · Asian Journal of Medicine and Health · doi:10.9734/ajmah/2021/v19i830357
de Sousa, F. F., Pereira, R. S., & Salgado, F. X. C. (2022) · Programa de Iniciação Científica - PIC/UniCEUB - Relatórios de Pesquisa · doi:10.5102/pic.n0.2020.8274
Review and Future Prediction on the Models of Mortality Rate of Covid-19
Zhang, Y. (2022) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.220110.116
Eliseo Navarro, C., & Requena, P. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4063837
Fertility Decline in the New Abnormal?
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0006
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0001
Descent into Zero Interest Policy and the New Abnormal
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0005
Socioeconomic Consequences of the New Abnormal
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0007
The Return to Normality: Ending the New Abnormal
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0010
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0004
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0008
Where Macroeconomic Theory Went Wrong
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0002
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0003
Beenstock, M. (2022) · doi:10.1093/oso/9780192849663.003.0009
Identifying the Effective Factors in the Death of Patients Receiving Convalescent Plasma
Yekefallah, L., Namdar, P., Mouri, S., & Mohammadi, S. (2022) · Journal of Inflammatory Diseases · doi:10.32598/jid.25.4.7
Brusselaers, N. (2022) · Routledge eBooks · doi:10.4324/9781003289364-8
Perception of risk and adherence to prophylactic measures to COVID-19: A study with elderly peoplePreprint
Gonçalves, R. B., Afonso, R. M., Ramalho, C. C., Pereira, L. C., Abreu, N. M., & Pato, M. V. (2023) · Research Square · doi:10.21203/rs.3.rs-2454273/v1
Agha, N. F. S., Rezaei, S. A., Al-khayat, Z. A. Y., Abdulrahman, B. K., Alharmni, K. I. F., & Agha, D. N. F. (2023) · African Journal of Health Sciences · doi:10.4314/ajhs.v35i6.6
Voicu, M. (2022) · Journal of Community Positive Practices · doi:10.35782/jcpp.2022.4.1
Imoto, W., Imai, T., Kawai, R., Ihara, Y., Nonomiya, Y., Namikawa, H., Yamada, K., Yoshida, H., Kaneko, Y., Shintani, A., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2605934/v1
Bakshi, S. S., Mangayarkarasi, V., Dash, D., Das, S., Ramesh, S., Jayam, C., & Kalidoss, V. K. (2023) · Acta Otorrinolaringologica (English Edition) · doi:10.1016/j.otoeng.2023.03.004
Koushik, M., Sugavanam, C. J. A., Shiny Chrism Queen Nesan, G., Jain, T., & Parasuraman, G. (2023) · Journal of Community Medicine & Public Health · doi:10.29011/2577-2228.100296
Valero, C., Barba, R., Riancho, J. A., & Santurtún, A. (2023) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2022.08.028 · Cited by 1
Domínguez-Rodríguez, A. (2023) · Revista Española de Sociología · doi:10.22325/fes/res.2023.163
Hummel, C. M., Zica, M. C. R., & Salgado, F. X. C. (2023) · Programa de Iniciação Científica - PIC/UniCEUB - Relatórios de Pesquisa · doi:10.5102/pic.n0.2021.8974
Clinical characteristics, management, and prevention of coronavirus disease 2019
Guan, W., & He, J. (2023) · Frigid Zone Medicine · doi:10.2478/fzm-2023-0019
Bakshi, S. S., Mangayarkarasi, V., Dash, D., Das, S., Ramesh, S., Jayam, C., & Kalidoss, V. K. (2023) · Acta Otorrinolaringológica Española · doi:10.1016/j.otorri.2022.12.001
18 Internet use during the pandemic
Principe, F., & Weber, G. (2023) · De Gruyter eBooks · doi:10.1515/9783111135908-018
Scheel-Hincke, L. L., Ahrenfeldt, L. J., & Andersen‐Ranberg, K. (2023) · De Gruyter eBooks · doi:10.1515/9783111135908-011
Self-citationImmunological and Neurological Changes of COVID-19 in the Elderly
Mobed, A. (2023) · International Journal of Aging · doi:10.34172/ija.2023.e18
Row and Column Effects Modelling of Elderly Age Groups and Chronic Health Problem on COVID-19
Altun, G., & Aktaş, S. (2024) · Cumhuriyet Science Journal · doi:10.17776/csj.1325410
Agustiningtyas, I., Cahyono, E. D., Hidayati, N., & Agustin, A. F. (2024) · JURNAL KEDOKTERAN · doi:10.36679/kedokteran.v9i2.78
Steijvers, L. C., van Bilsen, C. J. A., Brinkhues, S., Stutterheim, S. E., Crutzen, R., Ruiter, R. A. C., Hoebe, C. J. P. A., & Dukers–Muijrers, N. H. T. M. (2024) · medRxiv · doi:10.1101/2024.07.08.24309958
A, D., Mynbayeva, A. T., Ибраева, Ж. Б., & Baibussinova, A. Z. (2024) · Ġylym men densaulyķ saķtau. · doi:10.34689/sh.2024.26.4.018
Braun, S., Lämmer, C., Schulte, S., & Gohlke, B. C. (2024) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-024-03447-9
Malaspina, P., Jodice, C., Ciminelli, B. M., Biancolella, M., Colona, V. L., Latini, A., Leonardis, F., Rogliani, P., Novelli, A., Novelli, G., et al. (2025) · Human Genomics · doi:10.1186/s40246-025-00719-8
Bourguignon, M., Damiens, J., Doignon, Y., Eggerickx, T., Plavsic, A., Sanderson, J., & Bertrand, A. (2025) · Population Space and Place · doi:10.1002/psp.70019
Sex Differences in Excess Mortality During the COVID-19 PandemicPreprint
Doniec, K., Schöley, J., Kühn, M., & Dowd, J. B. (2025) · medRxiv · doi:10.1101/2025.07.15.25331003
Damiri, S., Shojaee, A., Dehghani, M., Shahali, Z., Abbasi, S., & Daroudi, R. (2022) · Figshare · doi:10.6084/m9.figshare.20208370
Damiri, S., Shojaee, A., Dehghani, M., Shahali, Z., Abbasi, S., & Daroudi, R. (2022) · Figshare · doi:10.6084/m9.figshare.20208376
Damiri, S., Shojaee, A., Dehghani, M., Shahali, Z., Abbasi, S., & Daroudi, R. (2022) · Figshare · doi:10.6084/m9.figshare.20208373
An analysis of COVID-19 mortality regarding all Austrian political districts
Grötz, S., Fieder, M., & Wilfing, H. (2026) · Wiener klinische Wochenschrift · doi:10.1007/s00508-026-02728-6
Katusiime, M., Namale, A., Kalungi, S., Muruta, A. N., Musoke, D., Akello, E., Anatoli, M., Kansiime, E., Lubwama, B., Nakiyimba, F., et al. (2026) · Journal of Interventional Epidemiology and Public Health · doi:10.37432/jieph-d-26-00105
Ismail, H., Al-Daoud, F., & Mushtaq, G. (2026) · BMC Oral Health · doi:10.1186/s12903-026-09169-7
Risk Factors of the Spread of COVID-19 in Prisoners: A Systematic Review and Meta-Analysis
SeyedAlinaghi, S., Mehraeen, E., Rad, F. F., Siami, H., Javaherian, M., Rasheed, M. A., Bagheri, A. B., Zand, A., Baboli, E. E., Rostami, K., et al. (2026) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2026.10392
Metadata
- Authors
- Ahrenfeldt, L. J., Otavova, M., Christensen, K., & Lindahl-Jacobsen, R.
- Affiliations
- University of Southern Denmark (DK)
- Corresponding author
- Ahrenfeldt, Linda Juel
- Venue
- Wiener klinische Wochenschrift
- Published
- 2020-12-22
- Volume
- 133
- Issue
- 7-8
- Pages
- 393-398
- ISSN
- 0043-5325 (ISSN-L)
- 1613-7671
- PMC
- PMC7755064
- OpenAlex
- W3116614361
- Cited by
- 160
- References
- 34
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 13 · 2023: 33 · 2022: 63 · 2021: 30 · 2020: 2
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Wiener klinische Wochenschrift (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, other-oa)
- Funders
- National Institute on Aging (P01AG031719)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Keywords
- COVID-19 pandemic, sex differences, age differences, case fatality rate, mortality, women, men
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review