COVID-19 pandemic death rates by country

Last updated

This article contains the number of confirmed COVID-19 deaths per population as of 2 December 2025, by country. It also has cumulative death totals by country. For these numbers over time see the tables, graphs, and maps at COVID-19 pandemic deaths and COVID-19 pandemic by country and territory.

Contents

This data reflects entire populations and does not adjust for age-specific risk. According to U.S. CDC data, COVID-19 has had markedly different impacts across demographics, with factors such as pre-existing conditions, socioeconomic status, and urban versus rural residency influencing outcomes. For example, the CDC reported that as 27 April 2021, the reported case fatality ratios were 0.015%, 0.15%, 2.3%, and 17% for the age groups 0–17, 18–49, 50–74, and 75 or over, respectively. [1] Similar patterns were observed in other countries, with older populations consistently experiencing higher mortality, emphasizing the critical role of age distribution in pandemic modeling.

Data reliability

Variation between testing programmes worldwide results in different ascertainment rates per country: not every SARS-CoV-2 infection, nor every COVID-19-related death, will be identified. Additionally, testing availability, public compliance with testing, and differences in healthcare infrastructure further complicate accurate reporting. Some deaths may be wrongly attributed to COVID-19 (for example if all suspected COVID-19 deaths are counted as COVID-19 deaths, for example, Belgium counted suspected deaths as confirmed cases in September 2020, and Public Health England initially counted all deaths after a positive test "to be sure not to underestimate the number of COVID-19 related deaths", while Scotland reported all deaths within 28 days of such a positive test). [2] [3] Therefore, according to WHO analyses, the true numbers of infections and deaths are expected to excceed the confirmed numbers everywhere, though the extent will vary by country. [4] These statistics are therefore less suitable for between-country comparisons. As deaths are easier to identify than infections (which are regularly asymptomatic), the true case fatality rate (CFR) is likely lower than the observed CFR. Underreporting is especially severe in countries with limited healthcare access or conflict zones, where both testing and vital registration systems are incomplete.

Reports from Socialstyrelsen in Sweden indicate 20,797 cases of Covid-19 deaths as of 2024-10-15 [5] which differs from the table below.

Causes of variation in true CFRs between countries, include variations in age and overall health of the population, medical care, and classification of deaths. [6] For instance, countries with higher prevalence of comorbidities such as diabetes, obesity, or cardiovascular disease often experienced elevated mortality rates even among younger age groups.

Excess mortality provides a broader estimate of these numbers. According to WHO, it includes both "direct COVID-19 and indirect, non-COVID-19 deaths". [7] They compare overall mortality with that of previous years, and as such also include the potentially vast number of deaths among people with unconfirmed COVID-19. These statistics have been crucial for understanding the broader societal impact of the pandemic, including deaths due to delayed healthcare, mental health crises, and economic stressors.

Examples from specific countries

Russia

COVID cases in Russia COVID-19-Russia-log.svg
COVID cases in Russia

According to excess-mortality analyses, Russia's total COVID-19 deaths in 2020 were estimated to exceed 186,000 [8] while confirmed COVID-19 deaths were at 56,271. [9] This discrepancy reflects not only under-testing but also policy-driven reporting choices and limited transparency in regional reporting systems.

The Netherlands

COVID in the Netherlands COVID-19-Netherlands-log.svg
COVID in the Netherlands

In the Netherlands, excess-mortality estimates indicate arounds 20,000 deaths from COVID-19 in 2020, [10] while only the death of 11,525 identified COVID-19 cases was registered. [9] The official count of COVID-19 deaths as of December 2021 is slightly more than 5.4 million, according to World Health Organization's report in May 2022. WHO also said that the real numbers are far higher than the official tally because of unregistered deaths in countries without adequate reporting. [11] WHO emphasized that undercoutning remains a global issue, particularly in low and middle-income countries where civil registration and death certification are incomplete.


China

The number of reported deaths and cases in China is likely severely undercounted. Multiple independent studies estimate China's true COVID-19 death toll may be between one to two million, rather than the official count of 122,398. [12] [13] This is partly due to how deaths caused by COVID-19 are counted. Only deaths occurring in hospitals are included. [14] Furthermore, regional disparities in reporting and sudden changes in testing strategy contributed to challenges in determining the actual mortality burden.

Age and gender adjusted mortality

COVID‑19 mortality varies substantially by age, with older populations experiencing disproportionately higher fatality rates. According to provisional CDC mortality data, COVID‑19 death rates per 100,000 population rise steeply with age, from under 1 in young children to over 1,395 per 100,000 in those aged 85+ in 2021. [15] CDC data also indicate4s that men experienced higher mortality rates, with 208,718 men passing in 2020 and 175,818 females passing. This number spiked to 258,507 and 202,006 in 2021. Biological, behavioral, and occupational factors may contribute to these differences, including a higher prevalence of comorbidities among men and differntial exposure risk.


According to one comparative study of European countries, “once differences in population age distributions are taken into account, variations in mortality rates between countries are considerably smaller”, and highlighted the importance of age-standardized mortality for international comparisons. [16] Age-standardized mortality is critical for assessing international comparisons accurately.These metrics allow policymakers and researchers to distinguish the impact of the disease itself from demographic factors that influence observed death rates.

Timeline of reporting changes and policy shifts

Throughout the pandemic, many countries revised their case and death reporting systems. Public Health England changed its definition, counting deaths within 28 days of a positive test, noting: “death in a person with a laboratory-confirmed positive COVID-19 test and died within (equal to or less than) 28 days of the first positive specimen date.” [17] A technical review later noted that “the UK daily COVID death counts … were changed to report deaths within 28 days of a first [positive test].” [18] At the global level, the World Health Organization noted changes in international reporting frequency beginning in 2023. As the organization stated, “a number of countries have stopped reporting or changed their frequency … As of 25 August 2023, WHO declared that it is no longer necessary … to report daily counts." [19] WHO further cautioned that “case detection, definitions, testing strategies, reporting practice, and lag times … differ between countries. This variability makes longitudinal analyses challenging and requires careful interpretation of trends over time. Countries also introduced retroactive adjustments, further complicating historical data comparisons.


Table of total cases, deaths, and death rates by country

Note: Table is automatically updated daily. [note 1] Data source is Our World in Data. [note 2] [note 3]

Updated November 28, 2025.
COVID-19 pandemic cases and mortality by country [20]
CountryDeaths / millionDeathsCases
World [a] 8927,102,493778,833,570
Peru 6,603221,0604,532,724
Bulgaria 5,68038,7711,340,407
North Macedonia 5,4299,991352,093
Bosnia and Herzegovina 5,11916,407404,289
Hungary 5,07249,1242,239,700
Croatia 4,81118,7991,366,814
Slovenia 4,6869,9141,365,356
Georgia 4,51917,1511,864,386
Montenegro 4,3172,654251,280
Czech Republic 4,11043,8724,872,908
Latvia 4,0757,666977,784
Moldova 4,04212,290656,372
Slovakia 3,89121,2971,888,477
Greece 3,85440,1375,834,353
San Marino 3,69312625,292
Romania 3,60469,0843,602,440
United States 3,5961,228,289103,436,829
Lithuania 3,5159,9041,443,308
United Kingdom 3,404232,11225,096,848
Brazil 3,345703,50837,895,353
Italy 3,329198,52326,968,972
Chile 3,29864,4975,410,244
Martinique 3,1591,104230,354
Poland 3,151120,9806,825,286
Armenia 3,0498,785454,857
Gibraltar 3,00211320,550
Belgium 2,94934,3394,902,912
Paraguay 2,94019,880735,759
Trinidad and Tobago 2,9344,390191,496
Argentina 2,880130,81910,117,116
Portugal 2,84129,5955,671,586
European Union [b] 2,8281,269,427186,866,649
Russia 2,777404,29024,901,467
Sweden 2,77029,0512,781,045
Colombia 2,759142,7956,401,944
Aruba 2,70829244,224
Ukraine 2,678109,9355,554,102
Serbia 2,65818,0572,568,000
Guadeloupe 2,6541,021203,235
France 2,616168,16239,052,744
Mexico 2,605335,0797,629,526
Spain 2,547121,85213,980,340
Bermuda 2,54716518,860
Guam 2,53641952,287
Austria 2,48522,5346,083,535
Tunisia 2,42729,4231,153,361
Estonia 2,3533,177615,868
French Polynesia 2,31865079,451
Saint Lucia 2,29341030,253
Uruguay 2,2697,6961,043,042
Liechtenstein 2,2628921,638
Suriname 2,2561,40682,516
Sint Maarten 2,1829211,051
Bahamas 2,13584939,127
Barbados 2,100593109,116
Malta 2,0861,102125,195
Germany 2,080174,97938,437,906
Finland 2,05811,4661,514,210
Grenada 2,03523819,693
Ecuador 2,02336,0631,081,588
Panama 2,0058,8261,045,640
Andorra 1,99415948,015
Lebanon 1,90510,9471,239,904
Republic of Ireland 1,9059,7371,752,343
Kosovo 1,8693,212274,279
Bolivia 1,85322,3891,212,175
Costa Rica 1,8479,3911,240,862
Puerto Rico 1,8325,9381,252,713
Hong Kong 1,79813,4662,876,106
Montserrat 1,78781,403
Monaco 1,7206717,181
Belize 1,70868871,493
Denmark 1,69610,0123,450,734
British Virgin Islands 1,669647,661
Curaçao 1,64530545,883
South Africa 1,644102,5954,073,065
Iran 1,640146,8377,627,863
Switzerland 1,61114,1704,485,336
Guyana 1,5961,31275,517
Collectivity of Saint Martin 1,5914612,324
Antigua and Barbuda 1,5721469,106
Jersey 1,55516166,391
Luxembourg 1,5301,000400,385
United States Virgin Islands 1,52513225,389
Cyprus 1,4501,364717,222
Caribbean Netherlands 1,4304111,922
Canada 1,42455,2824,819,055
Namibia 1,4224,110172,557
Israel 1,39512,7074,841,569
French Guiana 1,38441398,041
Isle of Man 1,37811638,008
Seychelles 1,37017251,899
Netherlands 1,28322,9868,654,819
Jamaica 1,2793,634157,661
Albania 1,2753,608337,215
Jordan 1,25414,1221,746,997
Saint Vincent and the Grenadines 1,2141249,674
Eswatini 1,1701,42775,356
Turkey 1,164101,41917,004,724
Botswana 1,1482,801330,699
Guatemala 1,13220,2051,254,826
Dominica 1,1077416,047
New Caledonia 1,09331480,203
Malaysia 1,07637,3515,329,836
Palestine 1,0755,708703,228
Honduras 1,06211,114473,039
Réunion 1,056921494,595
Guernsey 1,0506735,326
Norway 1,0505,7321,546,340
Azerbaijan 1,00510,353836,510
Bahrain 1,0011,536696,614
Saint Kitts and Nevis 984466,607
Oman 9784,628399,449
Australia 96325,23611,861,161
Fiji 96288569,047
Kazakhstan 95119,0721,504,370
Turks and Caicos Islands 893416,927
Libya 8916,437507,269
Northern Mariana Islands 8894114,985
New Zealand 8844,5382,668,236
Anguilla 844123,904
Mauritius 8411,074332,086
Cabo Verde 80241764,474
Wallis and Futuna 78293,760
Belarus 7757,118994,052
Cuba 7718,5301,113,809
Sri Lanka 74016,907672,812
Taiwan 73917,6729,970,937
American Samoa 702348,359
South Korea 69335,93434,571,873
El Salvador 6734,230202,066
Mongolia 6302,1361,011,489
Mayotte 61218742,027
Maldives 602316186,694
Japan 59774,69433,803,572
Philippines 58666,8644,173,631
Indonesia 581162,0596,830,274
Federated States of Micronesia 5796531,765
Iraq 57525,3752,465,545
Palau 562106,372
Kuwait 5592,570667,290
Faroe Islands 5182834,658
Cayman Islands 5163731,472
Iceland 489186211,109
Thailand 48734,9935,419,906
Saint Barthélemy 45655,507
Morocco 43616,3051,279,115
Vietnam 43343,20611,624,000
Marshall Islands 4241716,297
Nepal 40412,0341,003,946
Brunei 399182350,550
Dominican Republic 3904,384661,103
Greenland 3742111,971
India 374533,84745,056,126
Myanmar 36219,494643,401
Singapore 3582,0243,006,155
Zimbabwe 3575,740266,436
Sao Tome and Principe 353806,771
Saint Pierre and Miquelon 34723,426
Lesotho 31070936,140
Saudi Arabia 2999,646841,469
Solomon Islands 25419925,954
Qatar 238690514,524
United Arab Emirates 2292,3491,067,030
Egypt 22024,830516,023
Venezuela 2075,856552,743
Mauritania 20499763,891
Zambia 2024,078349,892
Afghanistan 1977,998235,214
Comoros 1931619,109
Kiribati 183245,085
Cambodia 1773,056139,326
Bangladesh 17429,5312,052,275
Macau 1741213,514
Djibouti 16618915,690
Algeria 1516,881272,421
Kyrgyzstan 1471,02488,953
Samoa 1443117,057
Gambia 14137212,627
Syria 1403,16357,423
Cook Islands 13527,375
Malawi 1302,68689,168
Gabon 12630749,069
Pakistan 12530,6561,580,631
Tonga 1231316,992
Senegal 1111,97289,426
Rwanda 1071,468133,274
Kenya 1045,689344,137
Sudan 1025,04663,993
Equatorial Guinea 10118317,130
Timor-Leste 10013823,460
Tuvalu 9912,943
Laos 88671219,060
China [c] 85122,39899,381,761
Nauru 8415,393
Guinea-Bissau 841779,614
Uganda 763,632172,217
Somalia 761,36127,334
Haiti 7486034,901
Cameroon 711,974125,317
Mozambique 682,252233,909
Papua New Guinea 6567046,864
Republic of the Congo 6438925,234
Ethiopia 607,574501,322
Yemen 562,15911,945
Liberia 542948,090
Angola 541,937107,487
Madagascar 461,42868,713
Vanuatu 441412,019
Ghana 441,463172,750
Nicaragua 3624516,398
Guinea 3346838,593
Mali 3274333,197
Togo 3129039,553
Eritrea 3010310,189
Uzbekistan 291,016175,158
Ivory Coast 2783588,434
Bhutan 262163,193
Central African Republic 2211315,486
Burkina Faso 1740022,216
Sierra Leone 151267,985
Democratic Republic of the Congo 141,474101,010
Nigeria 143,155267,227
South Sudan 1314718,873
Tanzania 1384643,600
Niger 123159,573
Tajikistan 1212517,786
Benin 1116328,036
Chad 101947,702
Burundi 11554,569
Vatican City 0026
Niue 001,092
Falkland Islands 001,923
Saint Helena, Ascension and Tristan da Cunha 002,166
Pitcairn Islands 004
Tokelau 0080
North Korea 000
Turkmenistan 000
  1. Countries which do not report data for a column are not included in that column's world total.
  2. Data on member states of the European Union are individually listed, but are also summed here for convenience. They are not double-counted in world totals.
  3. Does not include special administrative regions (Hong Kong and Macau) or Taiwan.

Map of death rates

Total confirmed COVID-19 deaths per million people by country: [21] [note 3] [note 4]

See date at top of map. World map of total confirmed COVID-19 deaths per million people by country.png
See date at top of map.
Total confirmed COVID cases by country at the start. Total-cases-covid-19 country USA, IRN, FRA, DEU, ITA, CHN ,ESP.svg
Total confirmed COVID cases by country at the start.

Regional overviews

Significant regional disparities in COVID-19 mortality reflect demography, vaccination, surveillance capacity, and timing. According to WHO, as of March 2023, “43% [of global reported COVID-19 deaths] were in the Region of the Americas,” followed by “32%” in Europe and “12%” in South-East Asia.The remaining WHO regions—Western Pacific, Eastern Mediterranean, and Africa—accounted for “14%” of global deaths. [22] These variations are influenced by population density, public health infrastructure, vaccine rollout, and pre-existing healthcare inequalities. Additionally, cultural factors, mobility patterns, and government interventions significantly affected the timing and magnitude of mortality waves.


COVID-19 death rates according to vaccination status in the US. 2021- COVID-19 death rates by vaccination status - US.svg
COVID-19 death rates according to vaccination status in the US.

Comparison with other global health threats

The WHO estimates that “COVID-19 was directly responsible for 8.7 million deaths in 2021,” making it one of the world’s leading causes of death that year. [23] However, it did not exceed major chronic diseases: “The world’s biggest killer is ischaemic heart disease, responsible for 13% of the world’s total deaths.” Lower respiratory infections (non-COVID) remained “the fifth leading cause of death in 2021.” [24] COVID-19’s mortality risk strongly increases with age. Analysis by Think Global Health notes that while children and adolescents face minimal direct mortality, indirect effects such as missed education, malnutrition, and mental health deterioration add significant long-term health burdens. [25] After adjusting for under-reporting, analyses found COVID-19 ranked among the top three causes of death in several regions, including the second leading cause in the Americas and third in Europe. [26]

The pandemic also produced substantial indirect health impacts. Cardiovascular mortality rose markedly during periods of healthcare disruption, according to a science journal: “in the early months of the pandemic, studies showed a significant increase in deaths from CVD compared to … 2019,” and these elevated levels “persisted until early 2022.” [27] Other indirect effects shown included excess mortality due to untreated chronic conditions, reduced vaccination coverage for other infectious diseases, and increased mental health crises. Health systems worldwide experienced strain that exposed vulnerabilities in both high and low-resource settings.

Summary

COVID-19 has demonstrated a highly age-dependent mortality profile, with older populations experiencing disproportionately higher fatality rates. Mortality rates have varied over time due to changes in reporting practices, public health interventions, virus variants, and vaccine rollout. Regional differences reflect disparities in healthcare access, population age structures, and policy responses. Comparison with other global health threats emphasizes COVID-19's significant impact relative to chronic diseases. Age and gender-adjusted mortality analyses provide a clearer understanding of the pandemic's burden across populations, highlighting the importance of protective measures for vulnerable groups. The pandemic underscores the critical role of timely, accurate data reporting and international cooperation in mitigating the effects of emerging diseases. Furthermore, COVID-19 highlighted systemic inequalities and the long-term societal implications of global health crisis.

See also

Notes

  1. The table this note applies to is updated daily by a bot. For more info see Template:COVID-19 data/Cite.
  2. Our World in Data (OWID). See Coronavirus Source Data for OWID sourcing info. Excerpt: "Deaths and cases: our data source. Our World in Data relies on data from Johns Hopkins University. ... JHU updates its data multiple times each day. This data is sourced from governments, national and subnational agencies across the world — a full list of data sources for each country is published on Johns Hopkins GitHub site. It also makes its data publicly available there."
  3. 1 2 "CSSEGISandData/COVID-19". GitHub . 5 August 2022. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The CSV files are downloaded via the "Raw" links. The "Raw" link doesn't show up until you click the csv file link. This opens into a GitHub page with the data and the "Raw" link. See How to Use our Data for more info and links. See: Pandemic Data Initiative. See more sourcing history and info.
  4. Our World in Data (OWID) maps and graphs on cases and deaths. Click on the download tab to download the image. The table tab has a table of the exact data by country. The source tab says the data is from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The image at the source is interactive and provides more detail. For example, for maps run your cursor over the color bar legend to see the countries that apply to that point in the legend. For graphs run your cursor over the graph for more info. See Coronavirus Source Data for more OWID sourcing info.

References

  1. "Demographic Trends of COVID-19 cases and deaths in the US reported to CDC". 2021-04-27.
  2. John Newton (12 August 2020). "Behind the headlines: Counting COVID-19 deaths". UK Health Security Agency . Retrieved 26 January 2020.
  3. Beaney, Thomas; Clarke, Jonathan M; Jain, Vageesh; Golestaneh, Amelia Kataria; Lyons, Gemma; Salman, David; Majeed, Azeem (2020). "Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide?". Journal of the Royal Society of Medicine. 113 (9): 329–334. doi:10.1177/0141076820956802. ISSN   0141-0768. PMC   7488823 . PMID   32910871. Russia's case definition for a COVID-19 death, for example, relies solely on results from autopsy, unlike most European countries.6 Death must have been due directly to COVID-19, so it is not counted if a patient was found to have COVID-19 but it did not cause their death.6,7 This will lead to significant underreporting, especially as Russia has one of the highest numbers of COVID-19 cases worldwide and yet has a case fatality rate of only 1.7% as of 31 July 2020.3 Spain's definition requires a positive polymerase chain reaction or antibody test for COVID-19, with only hospital deaths included in the death count despite a significant number of deaths from COVID-19 in the community and care homes.8,9 Belgium, by contrast, has one of the broadest definitions for a COVID-19 death, including all suspected cases. Care home deaths in Belgium account for around half of all excess deaths, but only 26% of care home deaths were confirmed (rather than suspected) COVID-19,10 leading to possible overcounting relative to other countries.11
  4. Verity, Robert (March 30, 2020). "Estimates of the severity of coronavirus disease 2019: a model-based analysis". The Lancet. Infectious Diseases. 20 (6): 669–677. Bibcode:2020LanID..20..669V. doi: 10.1016/S1473-3099(20)30243-7 . PMC   7158570 . PMID   32240634.
  5. "Statistik om covid-19, influense och RS". Socialstyrelsen. October 15, 2024.
  6. Aravindan, John Geddie (18 September 2020). "Why is Singapore's COVID-19 death rate the world's lowest". Reuters.
  7. Beaney, Thomas; Clarke, Jonathan M; Jain, Vageesh; Golestaneh, Amelia Kataria; Lyons, Gemma; Salman, David; Majeed, Azeem (2020). "Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide?". Journal of the Royal Society of Medicine. 113 (9): 329–334. doi:10.1177/0141076820956802. ISSN   0141-0768. PMC   7488823 . PMID   32910871. Under the assumption that the incidence of other diseases remains steady over time, then excess deaths can be viewed as those caused both directly and indirectly by COVID-19 and gives a summary measure of the 'whole system' impact. ... Despite this, when seeking to understand the full impact of deaths due to COVID-19 and explain why excess deaths vary, there is a need to distinguish the component parts – of direct COVID-19 and indirect, non-COVID-19 deaths.
  8. Agence France-Presse (December 28, 2020). "Russia admits to world's third-worst Covid-19 death toll". The Guardian.
  9. 1 2 "COVID-19 Data Explorer". Our World in Data.
  10. "CBS: afgelopen jaar ruim 20.000 coronadoden". nos.nl (in Dutch). 7 April 2021.
  11. Rigby, Jennifer (2022-05-05). "Almost three times as many died as a result of COVID than officially reported - WHO". Reuters. Retrieved 2022-05-05.
  12. Du, Zhanwei; Wang, Yuchen; Bai, Yuan; Wang, Lin; Cowling, Benjamin John; Meyers, Lauren Ancel (2023-10-29). "Estimate of COVID-19 Deaths, China, December 2022–February 2023". Emerging Infectious Diseases. 29 (10): 2121–2124. doi:10.3201/eid2910.230585. ISSN   1080-6040. PMC   10521589 . PMID   37640373.
  13. Bai, Yao; Peng, Zhihang; Wei, Fengying; Jin, Zhen; Wang, Jinjie; Xu, Ximing; Zhang, Xinyan; Xu, Jun; Ren, Zixiong; Lu, Bulai; Wang, Zhaojun; Xu, Jianguo; Huang, Senzhong (2023-03-22). "Study on the COVID-19 epidemic in mainland China between November 2022 and January 2023, with prediction of its tendency". Journal of Biosafety and Biosecurity. 5 (1): 39–44. doi:10.1016/j.jobb.2023.03.001. PMC   10030260 . PMID   36992708.
  14. Glanz, James; Hvistendahl, Mara; Chang, Agnes (2023-02-15). "How Deadly Was China's Covid Wave?". The New York Times. ISSN   0362-4331 . Retrieved 2025-08-31.
  15. Ahmad, Farida (29 April 2022). "Provisional Mortality Data — United States, 2021". Morbidity and Mortality Weekly Report (MMWR). 71 (17): 597–600. doi:10.15585/mmwr.mm7117e1. PMC   9098238 . PMID   35482572 . Retrieved 17 November 2025.
  16. Sepulveda, Edgardo (December 2021). "Income inequality and COVID-19 mortality: Age-stratified analysis of 22 OECD countries". SSM - Population Health. 16 100904. doi:10.1016/j.ssmph.2021.100904. PMC   8456048 . PMID   34584934.
  17. Loke, Yoon (16 July 2020). "Why no-one can ever recover from COVID-19 in England – a statistical anomaly". The Centre for Evidence-Based Medicine.
  18. "Changes to the way we report on COVID-19 deaths". UK Health Security Agency.blog.gov. UK Health Security Agency. 27 January 2023.
  19. "Coronavirus disease (COVID-19) Epidemiological Updates and Monthly Operational Updates". World Health Organization.
  20. Mathieu, Edouard; Ritchie, Hannah; Rodés-Guirao, Lucas; Appel, Cameron; Giattino, Charlie; Hasell, Joe; Macdonald, Bobbie; Dattani, Saloni; Beltekian, Diana; Ortiz-Ospina, Esteban; Roser, Max (2020–2024). "Coronavirus Pandemic (COVID-19)". Our World in Data . Retrieved 2025-11-28.
  21. World map of cumulative confirmed COVID-19 deaths per million people. From Our World in Data.
  22. "COVID-19 cases | WHO COVID-19 dashboard". WHO Data. World Health Organization.
  23. "The top 10 causes of death". The top 10 causes of death. World Health Organization.
  24. "The top 10 causes of death". The top 10 causes of death. World Health Organization.
  25. Troeger, Christopher. "Just How Do Deaths Due to COVID-19 Stack Up?". Think Global Health.
  26. Troeger, Christopher. "Just How Do Deaths Due to COVID-19 Stack Up?". Think Global Health.
  27. Henry, Timothy (17 November 2021). "The direct and indirect effects of the COVID-19 pandemic on cardiovascular disease throughout the world". European Heart Journal. 43 (11): 1154–1156. doi:10.1093/eurheartj/ehab782. PMC   8690059 . PMID   34791131.