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 worldwide as of May 2, 2023, by country or territory

    • statista.com
    • flwrdeptvarieties.store
    Updated Aug 29, 2023
    + more versions
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  3. Latest Coronavirus COVID-19 figures for Sweden

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    CSSE at JHU (2025). Latest Coronavirus COVID-19 figures for Sweden [Dataset]. https://covid19-today.pages.dev/countries/sweden/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Sweden
    Description

    In past 24 hours, Sweden, Europe had N/A new cases, N/A deaths and 18 recoveries.

  4. Latest Coronavirus COVID-19 figures for S. Korea

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
    + more versions
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for S. Korea [Dataset]. https://covid19-today.pages.dev/countries/s-korea/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    South Korea
    Description

    In past 24 hours, S. Korea, Asia had N/A new cases, N/A deaths and N/A recoveries.

  5. a

    Coronavirus COVID-19 Cases V2

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +1more
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://hub.arcgis.com/maps/1cb306b5331945548745a5ccd290188e
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  6. Covid in African Countries - Latest Data

    • kaggle.com
    zip
    Updated Mar 15, 2022
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    Anandhu H (2022). Covid in African Countries - Latest Data [Dataset]. https://www.kaggle.com/anandhuh/covid-in-african-countries-latest-data
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    zip(2230 bytes)Available download formats
    Dataset updated
    Mar 15, 2022
    Authors
    Anandhu H
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    Africa
    Description

    Content

    This dataset contains Covid-19 data of African countries as on March 15, 2022

    Attribute Information

    • Country - Name of African countries
    • Total Cases - Total number of Covid-19 cases
    • Total Deaths - Total number of Deaths
    • Total Recovered - Total number of recovered cases
    • Active Cases - Total number of Active cases
    • Total Cases/1 mil population- Total Cases per 1 million of the population
    • Deaths/1 mil population - Total Deaths per 1 million of the population
    • Total Tests - Total number of Covid tests done
    • Tests/1 mil population - Covid tests done per 1 million of the population
    • Population - Population of the country

    Source

    Link : https://www.worldometers.info/coronavirus/#countries

    Other Updated Covid19 Datasets

    Link : https://www.kaggle.com/anandhuh/datasets

    If you find it useful, please support by upvoting 👍

    Thank You

  7. f

    Figure 1. Cumulative COVID-19 cases and deaths for 15 Feb-15 Jul 2020 from...

    • rs.figshare.com
    xlsx
    Updated May 30, 2023
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    Julian W. Tang; Miguela A. Caniza; Mike Dinn; Dominic E. Dwyer; Jean-Michel Heraud; Lance C. Jennings; Jen Kok; Kin On Kwok; Yuguo Li; Tze Ping Loh; Linsey C. Marr; Eva Megumi Nara; Nelun Perera; Reiko Saito; Carlos Santillan-Salas; Sheena Sullivan; Matt Warner; Aripuanã Watanabe; Sabeen Khurshid Zaidi (2023). Figure 1. Cumulative COVID-19 cases and deaths for 15 Feb-15 Jul 2020 from An exploration of the political, social, economic and cultural factors affecting how different global regions initially reacted to the COVID-19 pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.19145156.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Royal Society
    Authors
    Julian W. Tang; Miguela A. Caniza; Mike Dinn; Dominic E. Dwyer; Jean-Michel Heraud; Lance C. Jennings; Jen Kok; Kin On Kwok; Yuguo Li; Tze Ping Loh; Linsey C. Marr; Eva Megumi Nara; Nelun Perera; Reiko Saito; Carlos Santillan-Salas; Sheena Sullivan; Matt Warner; Aripuanã Watanabe; Sabeen Khurshid Zaidi
    License

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

    Description

    Based on data extracted from Worldometer: https://www.worldometers.info/coronavirus/

  8. Latest Coronavirus COVID-19 figures for Iran

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Iran [Dataset]. https://covid19-today.pages.dev/countries/iran/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Iran
    Description

    In past 24 hours, Iran, Asia had N/A new cases, N/A deaths and N/A recoveries.

  9. Dataset Metnum

    • kaggle.com
    zip
    Updated Mar 27, 2020
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    Ahmad Zidan (2020). Dataset Metnum [Dataset]. https://www.kaggle.com/lan666as/dataset-uts-metnum
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    zip(2158 bytes)Available download formats
    Dataset updated
    Mar 27, 2020
    Authors
    Ahmad Zidan
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Ahmad Zidan

    Released under Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

    Contents

  10. Latest Coronavirus COVID-19 figures for Brazil

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Brazil [Dataset]. https://covid19-today.pages.dev/countries/brazil/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Brazil
    Description

    In past 24 hours, Brazil, South America had N/A new cases, N/A deaths and N/A recoveries.

  11. Data set: 50 Muslim-majority countries and 50 richest non-Muslim countries...

    • figshare.com
    txt
    Updated Jun 1, 2023
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    Ponn P Mahayosnand; Gloria Gheno (2023). Data set: 50 Muslim-majority countries and 50 richest non-Muslim countries based on GDP: Total number of COVID-19 cases and deaths on September 18, 2020 [Dataset]. http://doi.org/10.6084/m9.figshare.14034938.v2
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Ponn P Mahayosnand; Gloria Gheno
    License

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

    Description

    Associated with manuscript titled: Fifty Muslim-majority countries have fewer COVID-19 cases and deaths than the 50 richest non-Muslim countriesThe objective of this research was to determine the difference in the total number of COVID-19 cases and deaths between Muslim-majority and non-Muslim countries, and investigate reasons for the disparities. Methods: The 50 Muslim-majority countries had more than 50.0% Muslims with an average of 87.5%. The non-Muslim country sample consisted of 50 countries with the highest GDP while omitting any Muslim-majority countries listed. The non-Muslim countries’ average percentage of Muslims was 4.7%. Data pulled on September 18, 2020 included the percentage of Muslim population per country by World Population Review15 and GDP per country, population count, and total number of COVID-19 cases and deaths by Worldometers.16 The data set was transferred via an Excel spreadsheet on September 23, 2020 and analyzed. To measure COVID-19’s incidence in the countries, three different Average Treatment Methods (ATE) were used to validate the results. Results published as a preprint at https://doi.org/10.31235/osf.io/84zq5(15) Muslim Majority Countries 2020 [Internet]. Walnut (CA): World Population Review. 2020- [Cited 2020 Sept 28]. Available from: http://worldpopulationreview.com/country-rankings/muslim-majority-countries (16) Worldometers.info. Worldometer. Dover (DE): Worldometer; 2020 [cited 2020 Sept 28]. Available from: http://worldometers.info

  12. Latest Coronavirus COVID-19 figures for Romania

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    CSSE at JHU (2025). Latest Coronavirus COVID-19 figures for Romania [Dataset]. https://covid19-today.pages.dev/countries/romania/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Romania
    Description

    In past 24 hours, Romania, Europe had N/A new cases, N/A deaths and N/A recoveries.

  13. f

    datasheet1_Machine Learning Approaches Reveal That the Number of Tests Do...

    • figshare.com
    • frontiersin.figshare.com
    txt
    Updated Jun 1, 2023
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    Md Hasinur Rahaman Khan; Ahmed Hossain (2023). datasheet1_Machine Learning Approaches Reveal That the Number of Tests Do Not Matter to the Prediction of Global Confirmed COVID-19 Cases.csv [Dataset]. http://doi.org/10.3389/frai.2020.561801.s001
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Md Hasinur Rahaman Khan; Ahmed Hossain
    License

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

    Description

    Coronavirus disease 2019 (COVID-19) has developed into a global pandemic, affecting every nation and territory in the world. Machine learning-based approaches are useful when trying to understand the complexity behind the spread of the disease and how to contain its spread effectively. The unsupervised learning method could be useful to evaluate the shortcomings of health facilities in areas of increased infection as well as what strategies are necessary to prevent disease spread within or outside of the country. To contribute toward the well-being of society, this paper focusses on the implementation of machine learning techniques for identifying common prevailing public health care facilities and concerns related to COVID-19 as well as attitudes to infection prevention strategies held by people from different countries concerning the current pandemic situation. Regression tree, random forest, cluster analysis and principal component machine learning techniques are used to analyze the global COVID-19 data of 133 countries obtained from the Worldometer website as of April 17, 2020. The analysis revealed that there are four major clusters among the countries. Eight countries having the highest cumulative infected cases and deaths, forming the first cluster. Seven countries, United States, Spain, Italy, France, Germany, United Kingdom, and Iran, play a vital role in explaining the 60% variation of the total variations by us of the first component characterized by all variables except for the rate variables. The remaining countries explain only 20% of the variation of the total variation by use of the second component characterized by only rate variables. Most strikingly, the analysis found that the variable number of tests by the country did not play a vital role in the prediction of the cumulative number of confirmed cases.

  14. Latest Coronavirus COVID-19 figures for Palau

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    CSSE at JHU (2025). Latest Coronavirus COVID-19 figures for Palau [Dataset]. https://covid19-today.pages.dev/countries/palau/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Palau
    Description

    In past 24 hours, Palau, Australia-Oceania had N/A new cases, N/A deaths and N/A recoveries.

  15. Z

    Statistics Corona

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Apr 13, 2021
    + more versions
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    Statistics Corona [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4682076
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    Dataset updated
    Apr 13, 2021
    Dataset authored and provided by
    Daniel Orbegoso
    License

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

    Description

    In this dataset we can find information related to the population of all the countries listed in the website Worldometers. The dataset is composed, among others, with information like Country, Total Cases, New Cases or TotalDeaths. The dataset was created with the idea to implement it in any project where this information could help to fight against Covid-19.

  16. Latest Coronavirus COVID-19 figures for Honduras

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Honduras [Dataset]. https://covid19-today.pages.dev/countries/honduras/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Honduras
    Description

    In past 24 hours, Honduras, North America had N/A new cases, N/A deaths and N/A recoveries.

  17. e

    COVID-19 Cases US

    • coronavirus-resources.esri.com
    • covid-hub.gio.georgia.gov
    • +10more
    Updated Mar 21, 2020
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    CSSE_covid19 (2020). COVID-19 Cases US [Dataset]. https://coronavirus-resources.esri.com/datasets/628578697fb24d8ea4c32fa0c5ae1843
    Explore at:
    Dataset updated
    Mar 21, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases for the US and Canada. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by the Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact Johns Hopkins.IMPORTANT NOTICE: 1. Fields for Active Cases and Recovered Cases are set to 0 in all locations. John Hopkins has not found a reliable source for this information at the county level but will continue to look and carry the fields.2. Fields for Incident Rate and People Tested are placeholders for when this becomes available at the county level.3. In some instances, cases have not been assigned a location at the county scale. those are still assigned a state but are listed as unassigned and given a Lat Long of 0,0.Data Field Descriptions by Alias Name:Province/State: (Text) Country Province or State Name (Level 2 Key)Country/Region: (Text) Country or Region Name (Level 1 Key)Last Update: (Datetime) Last data update Date/Time in UTCLatitude: (Float) Geographic Latitude in Decimal Degrees (WGS1984)Longitude: (Float) Geographic Longitude in Decimal Degrees (WGS1984)Confirmed: (Long) Best collected count of Confirmed Cases reported by geographyRecovered: (Long) Not Currently in Use, JHU is looking for a sourceDeaths: (Long) Best collected count for Case Deaths reported by geographyActive: (Long) Confirmed - Recovered - Deaths (computed) Not Currently in Use due to lack of Recovered dataCounty: (Text) US County Name (Level 3 Key)FIPS: (Text) US State/County CodesCombined Key: (Text) Comma separated concatenation of Key Field values (L3, L2, L1)Incident Rate: (Long) People Tested: (Long) Not Currently in Use Placeholder for additional dataPeople Hospitalized: (Long) Not Currently in Use Placeholder for additional data

  18. Latest Coronavirus COVID-19 figures for Guyana

    • covid19-today.pages.dev
    json
    Updated Mar 22, 2025
    + more versions
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    CSSE at JHU (2025). Latest Coronavirus COVID-19 figures for Guyana [Dataset]. https://covid19-today.pages.dev/countries/guyana/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Guyana
    Description

    In past 24 hours, Guyana, South America had N/A new cases, N/A deaths and N/A recoveries.

  19. Aktive Fälle, geheilte Patienten und Todesfälle in Zusammenhang mit dem...

    • de.statista.com
    Updated Aug 13, 2024
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    Statista (2024). Aktive Fälle, geheilte Patienten und Todesfälle in Zusammenhang mit dem Coronavirus [Dataset]. https://de.statista.com/statistik/daten/studie/1106392/umfrage/aktive-faelle-des-coronavirus-covid-19-weltweit/
    Explore at:
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Weltweit
    Description

    Die kumulative Zahl der bestätigten SARS CoV-2-Infektionen beläuft sich laut Worldometer bis zum 10. Juli 2023¹ auf weltweit über 691 Millionen. Darunter waren zuletzt rund 20,6 Millionen aktive Fälle. Die Zahl der Todesopfer in Zusammenhang mit dem Virus liegt bei mehr als 6,8 Millionen.

    Wo nahm der Corona-Ausbruch seinen Anfang? Am 31. Dezember 2019 wurde das WHO-Länderbüro China über Fälle von Lungenentzündung unbekannter Ätiologie informiert, die in der Millionenmetropole Wuhan in der Provinz Hubei festgestellt wurden. Ein neuartiges Coronavirus (SARS-CoV-2) wurde am 7. Januar von den chinesischen Behörden als das verursachende Virus identifiziert. Ursprünglicher Infektionsort war der Wuhaner Großhandelsmarkt für Fische und Meeresfrüchte, von wo sich das Virus binnen weniger Wochen erst in den Nachbarländern und dann über die ganze Welt ausbreitete. Am 11. März 2020 schließlich erklärte die WHO den Corona-Ausbruch zur globalen Pandemie. Drei Jahre später, zu Beginn des Jahres 2023 steht die Pandemie vielerorts an der Schwelle, sich zu einer Endemie zu entwickeln. Anfang Mai schließlich erklärt die WHO den internationalen Gesundheitsnotstand für beendet und hebt damit die höchste Alarmstufe auf. Die meisten Länder hatten jedoch bereits zuvor den überwiegenden Teil oder alle Corona-Schutzmaßnahmen aufgehoben.

    Was sind Coronaviren?

    Coronaviren (CoV) sind eine unter Säugetieren und Vögeln weit verbreitete Virusfamilie. Beim Menschen verursachen sie vorwiegend milde Erkältungskrankheiten, können aber mitunter schwere Lungenentzündungen hervorrufen und gar zum Tod führen. Coronaviren sind genetisch hochvariabel, und einzelne Virusspezies können durch Überwindung der Artenbarriere auch mehrere Wirtspezies infizieren. Durch solche Artübertritte sind beim Menschen unter anderem Infektionen mit dem SARS-assoziierten Coronavirus (SARS-CoV) sowie mit dem 2012 neu aufgetretenen Middle East respiratory syndrome coronavirus (MERS-CoV) entstanden. Auch die Corona-Pandemie 2019-2023 wurde durch ein neuartiges Coronavirus, dem SARS-CoV-2-Erreger, ausgelöst. Die durch diesen hervorgerufene Erkrankung erhielt den Namen COVID-19.

  20. Latest Coronavirus COVID-19 figures for Luxembourg

    • covid19-today.pages.dev
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    Updated Mar 22, 2025
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    CSSE at JHU (2025). Latest Coronavirus COVID-19 figures for Luxembourg [Dataset]. https://covid19-today.pages.dev/countries/luxembourg/
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    jsonAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Luxembourg
    Description

    In past 24 hours, Luxembourg, Europe had N/A new cases, N/A deaths and N/A recoveries.

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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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166 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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