100+ datasets found
  1. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Nov 25, 2024
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    Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  2. COVID-19 cases and deaths among hardest hit countries worldwide as of Nov....

    • statista.com
    Updated Jun 15, 2022
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    Statista (2022). COVID-19 cases and deaths among hardest hit countries worldwide as of Nov. 14, 2022 [Dataset]. https://www.statista.com/statistics/1105264/coronavirus-covid-19-cases-most-affected-countries-worldwide/
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    Dataset updated
    Jun 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of November 14, 2022, the United States had recorded almost 98 million cases of COVID-19. The country had also reported a total number of over one million deaths from the disease.

    COVID-19 testing remains important The cumulative number of coronavirus cases worldwide reached almost 633 million towards the beginning of November 2022. Demand for test kits has at times exceeded production levels, but many countries continue to test citizens to more effectively control rises in cases. The U.S. has performed the most tests worldwide, followed by India and the United Kingdom.

    The silent spread of the coronavirus Widespread testing will also help to detect people who might be asymptomatic – showing few or no symptoms of the illness. These carriers are unwittingly transmitting the virus to others, and the threat of silent transmission is one reason why mass lockdowns have been imposed around the world. However, as asymptomatic carriers produce no symptoms, they may have developed some natural immunity to the illness. Viruses are not as easily spread in communities with high rates of immunity, which helps to protect more vulnerable groups of people. When an infection rate is less than one, a community has achieved herd immunity.

  3. T

    CORONAVIRUS DEATH by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 14, 2021
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    TRADING ECONOMICS (2021). CORONAVIRUS DEATH by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/coronavirus-death
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 14, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for CORONAVIRUS DEATH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. Number of coronavirus (COVID-19) cases in Europe 2024, by country

    • statista.com
    Updated Dec 9, 2024
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    Statista (2024). Number of coronavirus (COVID-19) cases in Europe 2024, by country [Dataset]. https://www.statista.com/statistics/1104837/coronavirus-cases-europe-by-country/
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 24, 2024
    Area covered
    Europe
    Description

    As of November 24, 2024 there were over 274 million confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in France in January 2020. France has been the worst affected country in Europe with 39,028,437 confirmed cases, followed by Germany with 38,437,756 cases. Italy and the UK have approximately 26.8 million and 25 million cases respectively. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  5. Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country

    • statista.com
    Updated Jan 23, 2024
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    Statista (2024). Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1111779/coronavirus-death-rate-europe-by-country/
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    Dataset updated
    Jan 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

    Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

    Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

  6. G

    Covid total deaths around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 1, 2023
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    Globalen LLC (2023). Covid total deaths around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/covid_total_deaths/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Apr 1, 2023
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    Trends in Covid total deaths. The latest data for over 100 countries around the world.

  7. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  8. COVID-19 deaths worldwide as of May 2, 2023, by country and territory

    • statista.com
    Updated May 22, 2024
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    Statista (2024). COVID-19 deaths worldwide as of May 2, 2023, by country and territory [Dataset]. https://www.statista.com/statistics/1093256/novel-coronavirus-2019ncov-deaths-worldwide-by-country/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had spread to almost every country in the world, and more than 6.86 million people had died after contracting the respiratory virus. Over 1.16 million of these deaths occurred in the United States.

    Waves of infections Almost every country and territory worldwide have been affected by the COVID-19 disease. At the end of 2021 the virus was once again circulating at very high rates, even in countries with relatively high vaccination rates such as the United States and Germany. As rates of new infections increased, some countries in Europe, like Germany and Austria, tightened restrictions once again, specifically targeting those who were not yet vaccinated. However, by spring 2022, rates of new infections had decreased in many countries and restrictions were once again lifted.

    What are the symptoms of the virus? It can take up to 14 days for symptoms of the illness to start being noticed. The most commonly reported symptoms are a fever and a dry cough, leading to shortness of breath. The early symptoms are similar to other common viruses such as the common cold and flu. These illnesses spread more during cold months, but there is no conclusive evidence to suggest that temperature impacts the spread of the SARS-CoV-2 virus. Medical advice should be sought if you are experiencing any of these symptoms.

  9. COVID-19 Trends for Countries

    • hub.arcgis.com
    Updated Apr 8, 2020
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    Urban Observatory by Esri (2020). COVID-19 Trends for Countries [Dataset]. https://hub.arcgis.com/maps/UrbanObservatory::covid-19-trends-for-countries
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    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center. -- Esri COVID-19 Trend Report for 3-9-2022 --0 (-0) Countries are in Emergent trend41 (-3) Countries are in Spreading trend.61 (+2) Countries are in Epidemic trend.54 (+0) Countries have Controlled trend.41 (+1) Countries have End Stage trend.Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.See the full methodology for information about how COVID-19 Trends are produced.

  10. Coronavirus (COVID-19) cases per 100,000 in Europe 2023, by country

    • statista.com
    Updated Dec 9, 2024
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    Statista (2024). Coronavirus (COVID-19) cases per 100,000 in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1110187/coronavirus-incidence-europe-by-country/
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, there had been over 270 million confirmed cases of COVID-19 across the whole of Europe since the first confirmed case in January, 2020. Cyprus has the highest incidence of COVID-19 cases among its population in Europe at 71,853 per 100,000 people, followed by a rate of 64,449 in Austria. Slovenia has recorded the third highest rate of cases in Europe at 62,834 cases per 100,000. With almost 38.3 million confirmed cases, France has been the worst affected country in Europe, which translates into a rate of 58,945 cases per 100,000 population.

    Current infection rate in Europe San Marino had the highest rate of cases per 100,000 in the past week at 336, as of January 16, 2023. Cyprus and Slovenia had seven day rates of infections at 278 and 181 respectively.

    Coronavirus deaths in Europe There have been 2,169,191 recorded COVID-19 deaths in Europe since the beginning of the pandemic. Russia has the highest number of deaths recorded in a European country at over 394 thousand. Bulgaria has the highest death rate from the virus in Europe with approximately 549 deaths per 100,000 as of January 13, followed by Hungary with 496 deaths per 100,000. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  11. g

    Coronavirus COVID-19 Global Cases by the Center for Systems Science and...

    • github.com
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    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE), Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [Dataset]. https://github.com/CSSEGISandData/COVID-19
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    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
    Area covered
    Global
    Description

    2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
    https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    • Confirmed Cases by Country/Region/Sovereignty
    • Confirmed Cases by Province/State/Dependency
    • Deaths
    • Recovered

    Downloadable data:
    https://github.com/CSSEGISandData/COVID-19

    Additional Information about the Visual Dashboard:
    https://systems.jhu.edu/research/public-health/ncov

  12. Coronavirus (COVID-19) cases per 100,000 in the past 7 days in Europe 2023...

    • statista.com
    Updated Feb 15, 2022
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    Statista (2022). Coronavirus (COVID-19) cases per 100,000 in the past 7 days in Europe 2023 by country [Dataset]. https://www.statista.com/statistics/1139048/coronavirus-case-rates-in-the-past-7-days-in-europe-by-country/
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 13, 2023
    Area covered
    Europe
    Description

    As of March 13, Austria had the highest rate of coronavirus (COVID-19) cases reported in the previous seven days in Europe at 224 cases per 100,000. Luxembourg and Slovenia have recorded 122 and 108 cases per 100,000 people respectively in the past week. Furthermore, San Marino had a rate of 97 cases in the last seven days.
    Since the pandemic outbreak, France has been the worst affected country in Europe with over 38.3 million cases as of January 13. The overall incidence of cases in every European country can be found here.

    For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

  13. Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast -...

    • store.globaldata.com
    Updated Nov 30, 2020
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    GlobalData UK Ltd. (2020). Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast - November 2020 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-2019-covid-19-epidemiology-analysis-and-forecast-november-2020/
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    Dataset updated
    Nov 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Current Epidemiology Situation and Forecast
    To date, the greatest numbers of cases and deaths have occurred in the US, India, and Brazil
    The global case fatality rate (%) has continued to decline
    Increasing uncertainty of infection rates renders forecasting difficult in the worst-hit countries Read More

  14. Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2,...

    • statista.com
    Updated Dec 15, 2020
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    Statista (2020). Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2, 2023 [Dataset]. https://www.statista.com/statistics/1087466/covid19-cases-recoveries-deaths-worldwide/
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, there were roughly 687 million global cases of COVID-19. Around 660 million people had recovered from the disease, while there had been almost 6.87 million deaths. The United States, India, and Brazil have been among the countries hardest hit by the pandemic.

    The various types of human coronavirus The SARS-CoV-2 virus is the seventh known coronavirus to infect humans. Its emergence makes it the third in recent years to cause widespread infectious disease following the viruses responsible for SARS and MERS. A continual problem is that viruses naturally mutate as they attempt to survive. Notable new variants of SARS-CoV-2 were first identified in the UK, South Africa, and Brazil. Variants are of particular interest because they are associated with increased transmission.

    Vaccination campaigns Common human coronaviruses typically cause mild symptoms such as a cough or a cold, but the novel coronavirus SARS-CoV-2 has led to more severe respiratory illnesses and deaths worldwide. Several COVID-19 vaccines have now been approved and are being used around the world.

  15. f

    Table_2_Baseline and early changes in laboratory parameters predict disease...

    • frontiersin.figshare.com
    docx
    Updated Dec 13, 2023
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    Addisu Gize; Yerega Belete; Melkayehu Kassa; Wondewosen Tsegaye; Gadissa Bedada Hundie; Birhan Mesele Belete; Mahteme Bekele; Berhan Ababaw; Yosef Tadesse; Bereket Fantahun; Sisay Sirgu; Solomon Ali; Anteneh Mehari Tizazu (2023). Table_2_Baseline and early changes in laboratory parameters predict disease severity and fatal outcomes in COVID-19 patients.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2023.1252358.s004
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    docxAvailable download formats
    Dataset updated
    Dec 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Addisu Gize; Yerega Belete; Melkayehu Kassa; Wondewosen Tsegaye; Gadissa Bedada Hundie; Birhan Mesele Belete; Mahteme Bekele; Berhan Ababaw; Yosef Tadesse; Bereket Fantahun; Sisay Sirgu; Solomon Ali; Anteneh Mehari Tizazu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionCoronavirus disease 2019 (COVID-19) has become the worst catastrophe of the twenty-first century and has led to the death of more than 6.9 million individuals across the globe. Despite the growing knowledge of the clinicopathological features of COVID-19, the correlation between baseline and early changes in the laboratory parameters and the clinical outcomes of patients is not entirely understood.MethodsHere, we conducted a time series cross-sectional study aimed at assessing different measured parameters and socio-demographic factors that are associated with disease severity and the outcome of the disease in 268 PCR-confirmed COVID-19 Patients.ResultsWe found COVID-19 patients who died had a median age of 61 years (IQR, 50 y – 70 y), which is significantly higher (p 

  16. Rate of U.S. COVID-19 cases as of March 10, 2023, by state

    • statista.com
    Updated May 15, 2024
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    Statista (2024). Rate of U.S. COVID-19 cases as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109004/coronavirus-covid19-cases-rate-us-americans-by-state/
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the state with the highest rate of COVID-19 cases was Rhode Island followed by Alaska. Around 103.9 million cases have been reported across the United States, with the states of California, Texas, and Florida reporting the highest numbers of infections.

    From an epidemic to a pandemic The World Health Organization declared the COVID-19 outbreak as a pandemic on March 11, 2020. The term pandemic refers to multiple outbreaks of an infectious illness threatening multiple parts of the world at the same time; when the transmission is this widespread, it can no longer be traced back to the country where it originated. The number of COVID-19 cases worldwide is roughly 683 million, and it has affected almost every country in the world.

    The symptoms and those who are most at risk Most people who contract the virus will suffer only mild symptoms, such as a cough, a cold, or a high temperature. However, in more severe cases, the infection can cause breathing difficulties and even pneumonia. Those at higher risk include older persons and people with pre-existing medical conditions, including diabetes, heart disease, and lung disease. Those aged 85 years and older have accounted for around 27 percent of all COVID deaths in the United States, although this age group makes up just two percent of the total population

  17. T

    CORONAVIRUS CASES by Country in EUROPE

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 8, 2020
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    TRADING ECONOMICS (2020). CORONAVIRUS CASES by Country in EUROPE [Dataset]. https://tradingeconomics.com/country-list/coronavirus-cases?continent=europe
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Mar 8, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Europe
    Description

    This dataset provides values for CORONAVIRUS CASES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  18. f

    DataSheet_3_Class I HLA Allele Predicted Restricted Antigenic Coverages for...

    • frontiersin.figshare.com
    zip
    Updated Jun 3, 2023
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    Marco Antônio M. Pretti; Rômulo G. Galvani; Gustavo Fioravanti Vieira; Adriana Bonomo; Martín H. Bonamino; Mariana Boroni (2023). DataSheet_3_Class I HLA Allele Predicted Restricted Antigenic Coverages for Spike and Nucleocapsid Proteins Are Associated With Deaths Related to COVID-19.zip [Dataset]. http://doi.org/10.3389/fimmu.2020.565730.s003
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    zipAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Marco Antônio M. Pretti; Rômulo G. Galvani; Gustavo Fioravanti Vieira; Adriana Bonomo; Martín H. Bonamino; Mariana Boroni
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The world is dealing with one of the worst pandemics ever. SARS-CoV-2 is the etiological agent of COVID-19 that has already spread to more than 200 countries. However, infectivity, severity, and mortality rates do not affect all countries equally. Here we consider 140 HLA alleles and extensively investigate the landscape of 3,723 potential HLA-I A and B restricted SARS-CoV-2-derived antigens and how 37 countries in the world are predicted to respond to those peptides considering their HLA-I distribution frequencies. The clustering of HLA-A and HLA-B allele frequencies partially separates most countries with the lowest number of deaths per million inhabitants from the other countries. We further correlated the patterns of in silico predicted population coverage and epidemiological data. The number of deaths per million inhabitants correlates to the predicted antigen coverage of S and N derived peptides and its module is influenced if a given set of frequent or rare HLA alleles are analyzed in a given population. Moreover, we highlighted a potential risk group carrying HLAs associated with an elevated number of deaths per million inhabitants. In addition, we identified three potential antigens bearing at least one amino acid of the four-length insertion that differentiates SARS-CoV-2 from previous coronavirus strains. We believe these data can contribute to the search for peptides with the potential to be used in vaccine strategies considering the role of herd immunity to hamper the spread of the disease. Importantly, to the best of our knowledge, this work is the first to use a populational approach in association with COVID-19 outcome.

  19. T

    CORONAVIRUS CASES by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2020
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    TRADING ECONOMICS (2020). CORONAVIRUS CASES by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/coronavirus-cases?continent=asia
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Mar 12, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Asia
    Description

    This dataset provides values for CORONAVIRUS CASES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  20. f

    Data_Sheet_5_Perceived Stress, Knowledge, and Preventive Behaviors in Indian...

    • frontiersin.figshare.com
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    Updated May 30, 2023
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    Ankita Sinharoy; Shekhar Pal; Jishu Das; Pritish Mondal (2023). Data_Sheet_5_Perceived Stress, Knowledge, and Preventive Behaviors in Indian versus US-based Participants During COVID-19: A Survey Study.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.687864.s005
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Ankita Sinharoy; Shekhar Pal; Jishu Das; Pritish Mondal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Rationale: India and the USA, the worst affected countries by COVID-19, experienced very different pandemic courses. By 2020, COVID-19 cases had steadily declined in India, whereas the fight continued in the US. The people of India and the USA perhaps perceived threats very differently, influenced by their knowledge, available healthcare facilities, and social security. We conducted an online survey study to compare COVID-related perceptions between Indian participants (IND-P) and US-based participants (US-P).Methods: COVID-related perceptions such as stress, knowledge, and preventive behaviors were measured with specific questionnaires, and normalized scores were computed. T-tests were used to compare the perception scores, while the Kruskal-Wallis-H (KWH) tests were used to compare socioeconomic distributions between participants from two countries. Generalized linear model (GLM) adjusted for sociodemographic confounders estimated the association between the country of residence and COVID-perception.Results: The IND-P (N = 242) were younger and male-dominated compared with the US-P (N = 531) (age: KWH = 97.37, p < 0.0001, gender: KWH = 140.38, p < 0.0001). Positive attitudes toward preventive guidelines were associated with higher perceived risk and stress (r = 0.35, p < 0.001, and r = 0.21, p < 0.001, respectively) but not with the knowledge (r = −0.05, p = 0.14). Compared with the US-P, the IND-P had lower knowledge (5.19 ± 1.95 vs. 7.82 ± 1.35; t-test: p < 0.0001), higher stress (7.01 ± 1.51 vs. 6.07 ± 1.61; t-test: p < 0.0001), and better adherence to preventive guidelines (8.84 ± 1.30 vs. 8.34 ± 2.09; t-test: p = 0.0006). GLM demonstrated a significant association between the country and COVID-perception scores.Conclusion: The IND-P experienced higher stress and perceived threat during COVID-19 than the US-P, perhaps due to a lack of faith in the healthcare system and insecurity. Despite lower knowledge, the IND-P had better acceptance of preventive guidelines than the US-P.

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Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

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151 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 25, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

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