28 datasets found
  1. T

    Japan Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/japan/coronavirus-deaths
    Explore at:
    json, csv, excel, xmlAvailable download formats
    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
    Jan 16, 2020 - Jul 14, 2022
    Area covered
    Japan
    Description

    Japan recorded 31547 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Japan reported 33803572 Coronavirus Cases. This dataset includes a chart with historical data for Japan Coronavirus Deaths.

  2. COVID-19 patients and number of death Japan 2022, by prefecture

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). COVID-19 patients and number of death Japan 2022, by prefecture [Dataset]. https://www.statista.com/statistics/1100113/japan-coronavirus-patients-by-prefecture/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 17, 2022
    Area covered
    Japan
    Description

    As of March 17, 2022, the highest number of approximately 1.2 million patients with coronavirus (COVID-19) were confirmed in Tokyo Prefecture in Japan, followed by Osaka Prefecture with about 747.9 thousand people. On that day, all prefectures out of 47 reported new infection cases.

     Tokyo and Kanagawa  The first coronavirus case in Japan was confirmed on January 16, 2020, in Kanagawa prefecture. Part of the Greater Tokyo Area, Kanagawa is the country’s second-most populous prefecture with more than nine million inhabitants. A few days after the first case in Kanagawa, Japan’s second case was reported in Tokyo. Kanagawa and Tokyo, along with Osaka, and four other prefectures, were the first to be placed under a state of emergency by then prime minister Shinzo Abe in April 2020. From the outbreak of COVID-19 until March 2022, the state of emergency was announced four times for Tokyo and three times for Kanagawa Prefecture.

     Osaka Osaka prefecture reported its first case of COVID-19 on January 29, 2020. The prefecture is the center of Japan’s second-most populated urban region, the Keihanshin metropolitan area, which includes Kyoto and Hyogo prefectures. The virus continued to spread in Osaka with the acceleration of new infection cases per day recorded in January, April to May, July to September in 2021, and January and onwards in 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page. 

  3. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). 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
    Jul 13, 2022
    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.

  4. Patient profile of COVID-19 cases Japan 2022, by age group

    • statista.com
    Updated Mar 15, 2022
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    Statista (2022). Patient profile of COVID-19 cases Japan 2022, by age group [Dataset]. https://www.statista.com/statistics/1105162/japan-patients-detail-novel-coronavirus-covid-19-cases-by-age-and-gender/
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    Dataset updated
    Mar 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 8, 2022
    Area covered
    Japan
    Description

    The distribution of coronavirus disease (COVID-19) cases in Japan as of March 16, 2022, showed that the highest number of patients were aged 20 to 29 years old, with a total of over one million cases. The highest number of deaths could be seen among the patients aged 80 years and older at about 15.5 thousand cases.

     Shortage of intensive care beds 

    With over 1,200 hospital beds per 100,000 inhabitants available in the country, Japan is one of the best-equipped OECD nations regarding the medical sector. However, after the COVID-19 outbreak, country has faced a shortage of hospital beds, especially those required for intensive care. ICU beds only constitute a small share of the overall number of hospital beds in the country compared to European countries like Switzerland and Germany. To combat this problem, the Japanese government implemented financial incentives for hospitals upon acquisition of new intensive care beds. Another factor playing a significant part in the shortage of hospital beds is the comparably high average length of hospital stays, since some bedridden seniors are in long-term care in hospitals, as opposed to being cared for in nursing homes or at home.

    Challenges for private hospitals Japan’s over eight thousand hospitals were opened by doctors, leading to the majority of the institutions being privately owned. As many of them are specialized and dependent on outpatient surgeries, COVID-19 patients pose new difficulties, as treating them in a converted ward would hinder day-to-day operations. Acquisition of intensive care beds involves financial and logistical challenges, which smaller private institutions have difficulty meeting, as they are not funded by tax revenues.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  5. T

    Japan Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/japan/coronavirus-recovered
    Explore at:
    json, excel, xml, csvAvailable download formats
    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
    Jan 16, 2020 - Dec 15, 2021
    Area covered
    Japan
    Description

    Japan recorded 767275 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Japan reported 18388 Coronavirus Deaths. This dataset includes a chart with historical data for Japan Coronavirus Recovered.

  6. Latest Coronavirus COVID-19 figures for Japan

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Japan [Dataset]. https://covid19-today.pages.dev/countries/japan/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 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
    Japan
    Description

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

  7. Total number of COVID-19 cases APAC April 2024, by country

    • statista.com
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    Statista, Total number of COVID-19 cases APAC April 2024, by country [Dataset]. https://www.statista.com/statistics/1104263/apac-covid-19-cases-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia, APAC
    Description

    The outbreak of the novel coronavirus in Wuhan, China, saw infection cases spread throughout the Asia-Pacific region. By April 13, 2024, India had faced over 45 million coronavirus cases. South Korea followed behind India as having had the second highest number of coronavirus cases in the Asia-Pacific region, with about 34.6 million cases. At the same time, Japan had almost 34 million cases. At the beginning of the outbreak, people in South Korea had been optimistic and predicted that the number of cases would start to stabilize. What is SARS CoV 2?Novel coronavirus, officially known as SARS CoV 2, is a disease which causes respiratory problems which can lead to difficulty breathing and pneumonia. The illness is similar to that of SARS which spread throughout China in 2003. After the outbreak of the coronavirus, various businesses and shops closed to prevent further spread of the disease. Impacts from flight cancellations and travel plans were felt across the Asia-Pacific region. Many people expressed feelings of anxiety as to how the virus would progress. Impact throughout Asia-PacificThe Coronavirus and its variants have affected the Asia-Pacific region in various ways. Out of all Asia-Pacific countries, India was highly affected by the pandemic and experienced more than 50 thousand deaths. However, the country also saw the highest number of recoveries within the APAC region, followed by South Korea and Japan.

  8. J

    Japan WHO: COVID-2019: No of Patients: Death: To-Date: Japan

    • ceicdata.com
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    CEICdata.com, Japan WHO: COVID-2019: No of Patients: Death: To-Date: Japan [Dataset]. https://www.ceicdata.com/en/japan/world-health-organization-coronavirus-disease-2019-covid2019-by-country-and-region/who-covid2019-no-of-patients-death-todate-japan
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 13, 2023 - Dec 24, 2023
    Area covered
    Japan
    Description

    WHO: COVID-2019: Number of Patients: Death: To-Date: Japan data was reported at 74,694.000 Person in 24 Dec 2023. This stayed constant from the previous number of 74,694.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Death: To-Date: Japan data is updated daily, averaging 18,396.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1441 observations. The data reached an all-time high of 74,694.000 Person in 24 Dec 2023 and a record low of 0.000 Person in 12 Feb 2020. WHO: COVID-2019: Number of Patients: Death: To-Date: Japan data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

  9. COVID-19 in Turkey

    • kaggle.com
    zip
    Updated Oct 29, 2020
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    Gokhan Guzelkokar (2020). COVID-19 in Turkey [Dataset]. https://www.kaggle.com/gkhan496/covid19-in-turkey
    Explore at:
    zip(12722 bytes)Available download formats
    Dataset updated
    Oct 29, 2020
    Authors
    Gokhan Guzelkokar
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Area covered
    Türkiye
    Description

    Context

    COVID-19 data in Turkey. Daily Covid-19 data published by our health ministry.

    Content

    time_series_covid_19_confirmed_tr
    time_series_covid_19_recovered_tr
    time_series_covid_19_deaths_tr
    time_series_covid_19_intubated_tr
    time_series_covid_19_intensive_care_tr.csv 
    time_series_covid_19_tested_tr.csv 
    test_numbers : Number of test (daily)
    

    Total data

    covid_19_data_tr

    Github

    Github repo : https://github.com/gkhan496/Covid19-in-Turkey/

    Acknowledgements

    We would like to thank our health ministry and all health workers.

    Country level datasets

    USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases France - https://www.kaggle.com/lperez/coronavirus-france-dataset Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2311214%2Feaf61a1cf97850b64aefd52d3de5890b%2FXMhaJ.png?generation=1586182028591623&alt=media" alt="">

    Source : https://fastlifehacks.com/n95-vs-ffp/

    https://covid19.saglik.gov.tr https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html?fbclid=IwAR0k49fzqTxI4HBBZF7n4hLX4Zj0Q2KII_WOEo7agklC20KODB3TOeF8RrU#/bda7594740fd40299423467b48e9ecf6 http://who.int/ --situation reports https://evrimagaci.org/covid19#turkey-statistics

  10. SOEs, quasi-SOEs and COVID-19 deaths.

    • plos.figshare.com
    xlsx
    Updated Nov 20, 2023
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    Mateus Silva Chang; Isamu Yamamoto (2023). SOEs, quasi-SOEs and COVID-19 deaths. [Dataset]. http://doi.org/10.1371/journal.pone.0294189.s002
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    xlsxAvailable download formats
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mateus Silva Chang; Isamu Yamamoto
    License

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

    Description

    This paper estimated the impact of intervention effects (state of emergency (SOE) or quasi-SOE requirements) and information effects (publicized increases in the number of coronavirus disease 2019 (COVID-19) deaths and fear of infection) on preventive behaviors and telecommuting during the COVID-19 pandemic using the Japan Household Panel Survey. Our results indicated that SOEs and quasi-SOEs had positive effects on the adoption of preventive behaviors among individuals, including handwashing, which indicates that an SOE has a direct effect and an indirect effect. Although SOEs in Japan were less enforceable and more lenient than those in other countries, they still had a certain effect on people’s adoption of preventive behaviors. However, the contribution of information effects was much larger than that of intervention effects, suggesting the importance of how and when information should be communicated to the public to prevent the spread of infection.

  11. M

    Project Tycho Dataset; Counts of COVID-19 Reported In JAPAN: 2019-2021

    • catalog.midasnetwork.us
    • data.niaid.nih.gov
    • +1more
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    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In JAPAN: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/JP.840539006
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    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in JAPAN: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  12. Coronavirus (Covid-19) Data of United States (USA)

    • kaggle.com
    zip
    Updated Nov 24, 2025
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    Joel Hanson (2025). Coronavirus (Covid-19) Data of United States (USA) [Dataset]. https://www.kaggle.com/joelhanson/coronavirus-covid19-data-in-the-united-states
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    zip(162971226 bytes)Available download formats
    Dataset updated
    Nov 24, 2025
    Authors
    Joel Hanson
    License

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

    Area covered
    United States
    Description

    Coronavirus (COVID-19) Data in the United States

    [ U.S. State-Level Data (Raw CSV) | U.S. County-Level Data (Raw CSV) ]

    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.

    United States Data

    Data on cumulative coronavirus cases and deaths can be found in two files for states and counties.

    Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information.

    Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data.

    Download all the data or clone this repository by clicking the green "Clone or download" button above.

    State-Level Data

    State-level data can be found in the states.csv file. (Raw CSV file here.)

    date,state,fips,cases,deaths
    2020-01-21,Washington,53,1,0
    ...
    

    County-Level Data

    County-level data can be found in the counties.csv file. (Raw CSV file here.)

    date,county,state,fips,cases,deaths
    2020-01-21,Snohomish,Washington,53061,1,0
    ...
    

    In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these.

    Methodology and Definitions

    The data is the product of dozens of journalists working across several time zones to monitor news conferences, analyze data releases and seek clarification from public officials on how they categorize cases.

    It is also a response to a fragmented American public health system in which overwhelmed public servants at the state, county and territorial levels have sometimes struggled to report information accurately, consistently and speedily. On several occasions, officials have corrected information hours or days after first reporting it. At times, cases have disappeared from a local government database, or officials have moved a patient first identified in one state or county to another, often with no explanation. In those instances, which have become more common as the number of cases has grown, our team has made every effort to update the data to reflect the most current, accurate information while ensuring that every known case is counted.

    When the information is available, we count patients where they are being treated, not necessarily where they live.

    In most instances, the process of recording cases has been straightforward. But because of the patchwork of reporting methods for this data across more than 50 state and territorial governments and hundreds of local health departments, our journalists sometimes had to make difficult interpretations about how to count and record cases.

    For those reasons, our data will in some cases not exactly match the information reported by states and counties. Those differences include these cases: When the federal government arranged flights to the United States for Americans exposed to the coronavirus in China and Japan, our team recorded those cases in the states where the patients subsequently were treated, even though local health departments generally did not. When a resident of Florida died in Los Angeles, we recorded her death as having occurred in California rather than Florida, though officials in Florida counted her case in their...

  13. J

    Japan WHO: COVID-2019: No of Patients: Death: To-Date: Int.Conveyance (JP)

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan WHO: COVID-2019: No of Patients: Death: To-Date: Int.Conveyance (JP) [Dataset]. https://www.ceicdata.com/en/japan/world-health-organization-coronavirus-disease-2019-covid2019-by-country-and-region/who-covid2019-no-of-patients-death-todate-intconveyance-jp
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 13, 2023 - Dec 24, 2023
    Area covered
    Japan
    Description

    Japan WHO: COVID-2019: Number of Patients: Death: To-Date: Int.Conveyance (JP) data was reported at 13.000 Person in 24 Dec 2023. This stayed constant from the previous number of 13.000 Person for 23 Dec 2023. Japan WHO: COVID-2019: Number of Patients: Death: To-Date: Int.Conveyance (JP) data is updated daily, averaging 13.000 Person from Feb 2020 (Median) to 24 Dec 2023, with 1419 observations. The data reached an all-time high of 13.000 Person in 24 Dec 2023 and a record low of 0.000 Person in 19 Feb 2020. Japan WHO: COVID-2019: Number of Patients: Death: To-Date: Int.Conveyance (JP) data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

  14. Trends in the place of death by cause of death in Japan in 2001–2021.

    • plos.figshare.com
    xls
    Updated Feb 28, 2024
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    Masashi Shibata; Yuki Otsuka; Hideharu Hagiya; Toshihiro Koyama; Hideyuki Kashiwagi; Fumio Otsuka (2024). Trends in the place of death by cause of death in Japan in 2001–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0299700.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 28, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Masashi Shibata; Yuki Otsuka; Hideharu Hagiya; Toshihiro Koyama; Hideyuki Kashiwagi; Fumio Otsuka
    License

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

    Area covered
    Japan
    Description

    Trends in the place of death by cause of death in Japan in 2001–2021.

  15. COVID-19: The First Global Pandemic of the Information Age

    • cameroon.africageoportal.com
    Updated Apr 8, 2020
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    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://cameroon.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age
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    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    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 the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe 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.

  16. Trends in the place of death by age group in Japan in 2001–2021.

    • plos.figshare.com
    xls
    Updated Feb 28, 2024
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    Masashi Shibata; Yuki Otsuka; Hideharu Hagiya; Toshihiro Koyama; Hideyuki Kashiwagi; Fumio Otsuka (2024). Trends in the place of death by age group in Japan in 2001–2021. [Dataset]. http://doi.org/10.1371/journal.pone.0299700.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 28, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Masashi Shibata; Yuki Otsuka; Hideharu Hagiya; Toshihiro Koyama; Hideyuki Kashiwagi; Fumio Otsuka
    License

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

    Area covered
    Japan
    Description

    Trends in the place of death by age group in Japan in 2001–2021.

  17. J

    Japan MHLW: COVID-19: PCR: Confirmed: Death

    • ceicdata.com
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    CEICdata.com, Japan MHLW: COVID-19: PCR: Confirmed: Death [Dataset]. https://www.ceicdata.com/en/japan/ministry-of-health-labour-and-welfare-coronavirus-disease-2019-covid2019/mhlw-covid19-pcr-confirmed-death
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 27, 2023 - May 8, 2023
    Area covered
    Japan
    Description

    Japan MHLW: COVID-19: PCR: Confirmed: Death data was reported at 74,677.000 Person in 08 May 2023. This records an increase from the previous number of 74,662.000 Person for 07 May 2023. Japan MHLW: COVID-19: PCR: Confirmed: Death data is updated daily, averaging 17,467.500 Person from Feb 2020 (Median) to 08 May 2023, with 1178 observations. The data reached an all-time high of 74,677.000 Person in 08 May 2023 and a record low of 1.000 Person in 26 Feb 2020. Japan MHLW: COVID-19: PCR: Confirmed: Death data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table JP.D001: Ministry of Health, Labour and Welfare: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

  18. Patients with COVID-19 in Tokyo Prefecture, Japan 2022, by state of health

    • statista.com
    Updated Sep 15, 2022
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    Statista (2022). Patients with COVID-19 in Tokyo Prefecture, Japan 2022, by state of health [Dataset]. https://www.statista.com/statistics/1108467/japan-patients-coronavirus-tokyo-prefecture-by-state-of-health/
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    Dataset updated
    Sep 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 14, 2022
    Area covered
    Japan
    Description

    As of September 14, 2022, a cumulative total of approximately 3.1 million people in Tokyo Prefecture tested positive for the coronavirus (COVID-19). Among them, close to three thousand patients were still hospitalized, roughly three million patients were discharged already, and around six thousand patients passed away. Tokyo recorded an accelerated development of new cases per day again from January 2022 onwards.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  19. J

    Japan MHLW: COVID-19: PCR: Confirmed: DM: Death: Oita

    • ceicdata.com
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    CEICdata.com, Japan MHLW: COVID-19: PCR: Confirmed: DM: Death: Oita [Dataset]. https://www.ceicdata.com/en/japan/ministry-of-health-labour-and-welfare-coronavirus-disease-2019-covid2019/mhlw-covid19-pcr-confirmed-dm-death-oita
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 24, 2022 - Feb 4, 2022
    Area covered
    Japan
    Description

    Japan MHLW: COVID-19: PCR: Confirmed: DM: Death: Oita data was reported at 86.000 Person in 04 Feb 2022. This records an increase from the previous number of 85.000 Person for 03 Feb 2022. Japan MHLW: COVID-19: PCR: Confirmed: DM: Death: Oita data is updated daily, averaging 21.000 Person from Mar 2020 to 04 Feb 2022, with 686 observations. The data reached an all-time high of 86.000 Person in 04 Feb 2022 and a record low of 0.000 Person in 16 Apr 2020. Japan MHLW: COVID-19: PCR: Confirmed: DM: Death: Oita data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Daily Database’s Disease Outbreaks – Table JP.D001: Ministry of Health, Labour and Welfare: Coronavirus Disease 2019 (COVID-2019).

  20. J

    Japan MHLW: COVID-19: PCR: Confirmed: QA: Death

    • ceicdata.com
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    CEICdata.com, Japan MHLW: COVID-19: PCR: Confirmed: QA: Death [Dataset]. https://www.ceicdata.com/en/japan/ministry-of-health-labour-and-welfare-coronavirus-disease-2019-covid2019/mhlw-covid19-pcr-confirmed-qa-death
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 27, 2023 - May 8, 2023
    Area covered
    Japan
    Description

    Japan MHLW: COVID-19: PCR: Confirmed: QA: Death data was reported at 8.000 Person in 08 May 2023. This stayed constant from the previous number of 8.000 Person for 07 May 2023. Japan MHLW: COVID-19: PCR: Confirmed: QA: Death data is updated daily, averaging 8.000 Person from Jun 2020 (Median) to 08 May 2023, with 1048 observations. The data reached an all-time high of 8.000 Person in 08 May 2023 and a record low of 1.000 Person in 28 Jan 2021. Japan MHLW: COVID-19: PCR: Confirmed: QA: Death data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table JP.D001: Ministry of Health, Labour and Welfare: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

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TRADING ECONOMICS, Japan Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/japan/coronavirus-deaths

Japan Coronavirus COVID-19 Deaths

Japan Coronavirus COVID-19 Deaths - Historical Dataset (2020-01-16/2022-07-14)

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json, csv, excel, xmlAvailable download formats
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
Jan 16, 2020 - Jul 14, 2022
Area covered
Japan
Description

Japan recorded 31547 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Japan reported 33803572 Coronavirus Cases. This dataset includes a chart with historical data for Japan Coronavirus Deaths.

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