Skip to main content
Le Infezioni in Medicina logoLink to Le Infezioni in Medicina
. 2021 Sep 10;29(3):402–407. doi: 10.53854/liim-2903-11

Sex differences in COVID-19 fatality rate and risk of death: An analysis in 73 countries, 2020–2021

Max Carlos Ramírez-Soto 1,2,, Gutia Ortega-Cáceres 3, Hugo Arroyo-Hernández 4
PMCID: PMC8805484  PMID: 35146345

SUMMARY

There is a worrying lack of epidemiological data on the sex differential in COVID-19 fatality rates. We examined the Global Health 50/50 tracks of sex-disaggregated infection and mortality COVID-19 data from 73 countries through May 20, 2021. We compared the infection fatality rate (IFR) in men vs. women and risk of death from COVID-19 by country. Of all cases in 73 countries, 42,933,757 were in women and 40,187,894 in men; 1,274,663 men and 971,899 women died. The IFR was higher in males (3.17%) than in women (2.26%). The IFR in males vs. females varied from country to country, and it was higher in men in Brazil, Yemen, Mexico, Ecuador, Scotland, Peru, Guatemala, North Macedonia and Afghanistan. Overall, men had a higher odd of death from COVID-19 (OR, 1.22; 95% CI, 1.13–1.32; =0.00001) and in 49 countries, compared to women. Men in Albania and Guatemala had twice the risk of death from COVID-19. Our findings show higher fatality rates among men than among women. These rates vary widely by country, and men have a higher odd of death from COVID-19.

Keywords: COVID-19, SARS-CoV-2, fatality rate, sex

INTRODUCTION

Although SARS-CoV-2 infection does not discriminate by sex, males/females are more affected and have a higher risk of death from the coronavirus disease (COVID-19) [14]. Moreover, a systematic review and meta-analysis recently showed an infection fatality rate (IFR) of 0.68%, and this rate varied with location (from 0.17 to 1.7%) [5]. Despite this, it is unclear whether women or men are more likely to die from COVID-19 and what the differences in IFR are in men vs. women. In this study, we estimated fatality rates and risk of death from COVID-19 stratified by sex and geographic distribution.

MATERIALS AND METHODS

We examined the Global Health 50/50 tracks of infection and death COVID-19. This tracker retrieves the sex-disaggregated data being reported in official governments websites in 173 countries. This tracker provides a comprehensive analysis of national COVID-19 health policies from a gender, equity and human rights lens globally [6]. We include data from 73 of 174 countries tracked by the COVID-19 Sex-Disaggregated Data Tracker through May 20, 2021; i.e., countries that had reported data on both cases and deaths at the same time point [6]. Countries that presentation of partial or incomplete data were excluded of study. Countries that had stopped reporting data on cases or deaths by sex were also excluded of study. Global Health 50/50 tracks includes cases and deaths sex-disaggregated data (% male and % female).

We compared the IFR in men vs. women and risk of death from COVID-19 by country. Meta-analyses were performed to estimate odds ratios (ORs) with 95% confidence interval (CI) associated with male sex and death, based on pooled average effect measures that were weighted according to the size and precision of each report. The Mantel-Haenszel methods was used to calculate the random effects estimates. P-values of <0.05 were considered statistically significant. The meta-analytic methods were carried out using RevMan 5, Cochrane, available at: https://revman.cochrane.org/#/myReviews.

RESULTS

Of all cases in 73 countries, 42,933,757 were in women and 40,187,894 in men; 1,274,663 men and 971,899 women died. In overall, the IFR was higher in males (3.17%) than in women (2.26%). The IFR in males vs. females varied from country to country, and it was higher in men in Brazil, Yemen, Mexico, Ecuador, Scotland, Peru, Guatemala, North Macedonia and Afghanistan. The IFR was higher in men and women in Brazil, Yemen, Mexico and Ecuador (Table 1). The IFR was lower in men in Barbados, Bhutan, New Zealand, Norway, Vietnam, Uganda, Maldives and Israel (Table 1). Figure 1 summarizes the number of deaths and total number of confirmed COVID-19 cases for each sex in 72 countries. The forest plot illustrates the estimated OR for the association of death with male sex for each country with 95% CI. The estimated pooled OR was 1.22 (95% CI, 1.13–1.32; p = 0.00001). Analysis used a random effects model with individual reports weighted using the indicated weights. Overall, men have a higher odd of death from COVID-19 in 49 countries, compared to women. Men in Albania and Guatemala had twice the risk of death from COVID-19 (Figure 1).

Table 1.

COVID-19 fatality rate in 73 countries, 2020–2021.

Country COVID-19 cases COVID-19 deaths COVID-19 fatality rate
Male, No. Female, No. Male, No. Female, No. Male, % Female, %
Overall 40187894 42933757 1274663 971899 3.17 2.26
Afghanistan 38271 19706 1551 609 4.05 3.09
Albania 63375 68657 1631 804 2.57 1.17
Argentina 1640609 1661744 40032 28965 2.44 1.74
Australia 14633 15031 441 469 3.01 3.12
Austria 313269 322294 5454 4806 1.74 1.49
Bangladesh 554408 226449 9379 2802 1.69 1.24
Barbados 2046 1991 8 5 0.39 0.25
Belgium 476628 555929 12444 12280 2.61 2.21
Belize 6664 6078 211 112 3.17 1.84
Bermuda 1115 1362 17 15 1.52 1.10
Bhutan 854 442 1 0 0.12 0.00
Bosnia and Herzegovina 49260 46354 1858 1067 3.77 2.30
Brazil 317396 248069 126614 95205 39.89 38.38
Cambodia 6533 8818 60 46 0.92 0.52
Canada 644355 655534 12268 12451 1.90 1.90
Chad 2520 942 90 24 3.57 2.55
Colombia 1504956 1626454 50951 30858 3.39 1.90
Costa Rica 144659 143967 2248 1377 1.55 0.96
Czech Republic 794766 838875 17121 12623 2.15 1.50
Denmark 134034 136523 1358 1145 1.01 0.84
Ecuador 210867 199062 12852 6847 6.09 3.44
England 1791359 2062684 70986 59407 3.96 2.88
Equatorial Guinea 4463 3231 71 32 1.59 0.99
Estonia 59822 68262 641 582 1.07 0.85
Eswatini 8901 9516 346 325 3.89 3.42
Finland 47751 42498 518 462 1.08 1.09
France 2657033 3011908 46503 33911 1.75 1.13
Germany 1732974 1844594 45049 41120 2.60 2.23
Greece 190750 182757 6638 4833 3.48 2.64
Guatemala 128432 111002 5507 2386 4.29 2.15
Guinea-Bissau 2260 1486 46 21 2.04 1.41
Haiti 7574 6024 164 112 2.17 1.86
Hong Kong 5663 6163 123 87 2.17 1.41
Indonesia 853136 895094 27341 21136 3.20 2.36
Iraq 656153 486772 8908 7087 1.36 1.46
Israel 410867 417829 3623 2755 0.88 0.66
Italy 2004903 2100139 68715 53056 3.43 2.53
Jamaica 20883 26503 497 392 2.38 1.48
Jersey 1487 1750 43 26 2.88 1.50
Jordan 343844 330359 5712 3564 1.66 1.08
Kenya 100749 65257 2065 956 2.05 1.47
Latvia 56338 72346 1148 1132 2.04 1.56
Liberia 1415 727 56 29 3.96 3.99
Luxembourg 34620 34620 436 372 1.26 1.07
Maldives 26570 17073 61 34 0.23 0.20
Mexico 1191251 1190298 137670 82814 11.56 6.96
Moldova 105188 148766 2960 3074 2.81 2.07
Netherlands 748885 822422 9493 7890 1.27 0.96
New Zealand 1307 1352 14 12 1.07 0.89
Nigeria 93416 62226 1104 453 1.18 0.73
North Macedonia 78494 76204 3267 1944 4.16 2.55
Northern Ireland 56955 64899 1136 1015 1.99 1.56
Norway 63945 55825 421 360 0.66 0.64
Peru 968116 916479 43442 22469 4.49 2.45
Philippines 610774 554497 11600 8041 1.90 1.45
Portugal 382534 459496 8935 8074 2.34 1.76
Republic of Ireland 120945 131761 2589 2332 2.14 1.77
Romania 495506 576785 17080 12491 3.45 2.17
Rwanda 15378 10837 223 122 1.45 1.13
Scotland 104941 124488 5142 4967 4.90 3.99
Slovakia 184174 201612 6230 5368 3.38 2.66
Slovenia 118180 132255 2269 2383 1.92 1.80
South Africa 679805 927678 26586 29069 3.91 3.13
South Korea 66629 66842 952 960 1.43 1.44
Spain 1723340 1889533 43822 35466 2.54 1.88
Sweden 513205 533938 7784 6517 1.52 1.22
Switzerland 328987 356974 5521 4695 1.68 1.32
USA 12470540 13618456 314864 259181 2.52 1.90
Uganda 30114 11308 98 228 0.33 2.02
Ukraine 864038 1296057 25689 22780 2.97 1.76
Vietnam 1671 1661 13 22 0.78 1.32
Wales 96175 115852 3092 2469 3.21 2.13
Yemen 4235 2382 879 377 20.75 15.83

Figure 1.

Figure 1

Male sex is associated with a significantly increased risk of mortality from COVID-19.

DISCUSSION

This study findings show that although both sexes show the same susceptibility, males have a higher IFR and risk of death from COVID-19. Our findings in 73 countries (as of May 2021) are different from those of another study that reported the IFR in 38 countries or regions (as of May 2020) sex-disaggregated [10]. In our study the IFR was higher in men and women in Brazil, Yemen, Mexico, Ecuador, Scotland, Peru, Guatemala, North Macedonia and Afghanistan, whereas the previous study of Scully et al. the IFR was higher in England, Netherlands, Italy, Sweden, and Belgium [10]. These differences can be explained by the small number of cases and deaths of COVID-19 included in the initial period of the pandemic (as of May 2020), while our study included totals of 40,187,894 cases in men and 42,933,757 cases in women, and 1,274,663 deaths in men and 971,899 deaths in women. Subsequently, with more data emerging until May 2021, the trend in fatality rate for COVID-19 has been increased.

The differences in IFR and risk of COVID-19 death in males vs. females could be associated with comorbidities such as hypertension and cardiovascular disease, lung disease and cancer although some countries may have a higher burden of these chronic diseases, their prevalence is higher in men than women [79]. Other factor apart from sex that affect the IFR of COVID-19 and risk of death is age; in this context, previous studies reveal the mortality and fatality rates increased with age and are predominant in men 50 years of age or older [10]. Regardless of the demographics, comorbidities or health systems in each country, there is a consistent biological phenomenon that explains the higher mortality rates in men (immunological mechanisms, genetic factor, inflammation, cancer, etc.) [1, 3, 8].

Experimental and epidemiological evidence suggests that most biomarkers for infection risk and severity of COVID-19 differ by sex. Although women generally have a more robust immune response sustained with age, men are more likely to develop cytokine storm or immunopathological damage associated with adverse clinical outcomes. Further research on sex hormone immunomodulation, age, and X-linked gene expression may help explain poorer survival in men. Although this relationship is complex, and the available data is not uniformly consistent [10,11]. The IFRs and risk of COVID-19 associated death in males vs. females vary widely by country. The IFR and risk of death could be to health system variations from each country, i.e., infrastructure, overload of the health system, intensive care unit beds, medical staff, medicines, etc. [7]. However, these conditions could vary from country to country, leading to a range of hypotheses. Our findings show that in some countries, the IFR is lower in men or similar to women, which could be due to better living conditions and medical care in the long-lived population of developed countries, compared to underdeveloped countries. These differences can also be explained by control measures or vaccination coverages against COVID-19 implemented in countries as New Zealand or Israel [12, 13].

This report has several limitations. First, detailed information was unavailable in 98 countries; therefore, these findings only provide an approximate estimate of IFR and risk of death from SARS-CoV-2. Second, the data on cases and deaths are not up to date in all countries; consequently, the true IFR may be higher, thus resulting in possible bias. Third, in some countries, asymptomatic cases of COVID-19 and individuals who are misdiagnosed could be left out of the denominator, leading to its underestimation and overestimation of the IFR in 73 countries. Despite these limitations, these findings provide evidence for public health authorities with the aim of mortality prevention for COVID-19. Furthermore, sex-disaggregated data could be of use to ensure better targeting of gender-equitable prevention efforts.

In summary, our findings show higher fatality rates among men than among women. These rates vary widely by country, and men have a higher odd of death from COVID-19. In countries where men having higher fatality rate, public interventions could personalize health messages and implement prevention and surveillance strategies targeting men with recognized risk factors.

Footnotes

Conflicts of interest

The authors declare no conflict of interest.

Authors contributions

MCRS designed the study. MCRS and GOC collected all data. MCRS and HAH performed the statistical analysis. All authors were involved in the interpretation of data. MCRS, GOC and HAH drafted the manuscript. All authors were involved in the critical revision and approved the final manuscript.

Funding

This research received no external funding.

REFERENCES

  • 1.Williamson EJ, Walker AJ, Bhaskaran K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–36. doi: 10.1038/s41586-020-2521-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bhopal SS, Bhopal R. Sex differential in COVID-19 mortality varies markedly by age. Lancet. 2020;396(10250):532–33. doi: 10.1016/S0140-6736(20)31748-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Gebhard C, Regitz-Zagrosek V, Neuhauser HK, Morgan R, Klein SL. Impact of sex and gender on COVID-19 outcomes in Europe. Biol Sex Differ. 2020;11(1):29. doi: 10.1186/s13293-020-00304-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jin JM, Bai P, He W, et al. Gender differences in patients with COVID-19: Focus on severity and mortality. Front Public Health. 2020;8:152. doi: 10.3389/fpubh.2020.00152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Meyerowitz-Katz G, Merone L. A systematic review and meta-analysis of published research data on COVID-19 infection fatality rates. Int J Infect Dis. 2020;101:138–48. doi: 10.1016/j.ijid.2020.09.1464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Global Health 50/50. The COVID-19 sex-disaggregated data tracker. [Date accessed: May 17, 2021]. Available in: https://globalhealth5050.org/the-sex-gender-and-covid-19-project/
  • 7.Peckham H, de Gruijter NM, Raine C, et al. Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission. Nat Commun. 2020;11(9):6317. doi: 10.1038/s41467-020-19741-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bienvenu LA, Noonan J, Wang X, Peter K. Higher mortality of COVID-19 in males: sex differences in immune response and cardiovascular comorbidities. Cardiovasc Res. 2020;116(14):2197–206. doi: 10.1093/cvr/cvaa284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392:1789–858. doi: 10.1016/S0140-6736(18)32279-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Scully EP, Haverfield J, Ursin RL, Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nat Rev Immunol. 2020;20(7):442–7. doi: 10.1038/s41577-020-0348-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Long-Quan L, Tian H, Yong-Qing W, et al. COVID-19 patients’ clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020;92(6):577–83. doi: 10.1002/jmv.25757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Baker MG, Wilson N, Anglemyer A. Successful Elimination of Covid-19 Transmission in New Zealand. N Engl J Med. 2020;383(8):e56. doi: 10.1056/NEJMc2025203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Our World in Data. Coronavirus (COVID-19) Vaccinations. Available in: https://ourworldindata.org/covid-vaccinations.

Articles from Le Infezioni in Medicina are provided here courtesy of Edizioni Internazionali s.r.l.

RESOURCES