100+ datasets found
  1. Coronavirus COVID-19 Global Cases

    • redivis.com
    application/jsonl +7
    Updated Jul 13, 2020
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    Stanford Center for Population Health Sciences (2020). Coronavirus COVID-19 Global Cases [Dataset]. http://doi.org/10.57761/pyf5-4e40
    Explore at:
    sas, csv, application/jsonl, spss, stata, parquet, arrow, avroAvailable download formats
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 22, 2020 - Jul 12, 2020
    Description

    Abstract

    JHU Coronavirus COVID-19 Global Cases, by country

    Documentation

    PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

    This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

    Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    Section 2

    Included Data Sources are:

    %3C!-- --%3E

    Section 3

    **Terms of Use: **

    This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

    Section 4

    **U.S. county-level characteristics relevant to COVID-19 **

    Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

    https://github.com/mkiang/county_preparedness/

  2. China CN: COVID-19: Confirmed Case: New Increase

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: Confirmed Case: New Increase [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case-new-increase
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 29, 2020 - May 10, 2020
    Area covered
    China
    Description

    China COVID-19: Confirmed Case: New Increase data was reported at 17.000 Person in 10 May 2020. This records an increase from the previous number of 14.000 Person for 09 May 2020. China COVID-19: Confirmed Case: New Increase data is updated daily, averaging 51.000 Person from Jan 2020 (Median) to 10 May 2020, with 112 observations. The data reached an all-time high of 15,152.000 Person in 12 Feb 2020 and a record low of 1.000 Person in 08 May 2020. China COVID-19: Confirmed Case: New Increase data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Patient.

  3. a

    Coronavirus COVID-19 Cases V2

    • hub.arcgis.com
    • prep-response-portal-napsg.hub.arcgis.com
    • +1more
    Updated Mar 26, 2020
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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
    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.

  4. Duration change of TV news consumption in coronavirus outbreak in China...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Duration change of TV news consumption in coronavirus outbreak in China 2019-2020 [Dataset]. https://www.statista.com/statistics/1108091/china-tv-news-viewing-duration-in-coronavirus-covid19-outbreak-period/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2019 - Mar 15, 2020
    Area covered
    China
    Description

    Over the first eleven weeks of 2020, Chinese consumers spent a total of ***** minutes on average watching TV news, indicating nearly a double amount of time compared to that in the equivalent period of the previous year. To curb the spread of coronavirus COVID-19, the Chinese government imposed a lockdown in the epicenter Wuhan city from late January, 2020, and later expanded the measure across the country. Most of the Chinese people relied on national TV channels to receive the most updated epidemic information.

  5. China CN: COVID-19: No of Death: Hubei: True Up

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: No of Death: Hubei: True Up [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-death/cn-covid19-no-of-death-hubei-true-up
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 13, 2020 - Apr 16, 2020
    Area covered
    China
    Description

    COVID-19: Number of Death: Hubei: True Up data was reported at 1,290.000 Person in 16 Apr 2020. This records an increase from the previous number of 1.000 Person for 05 Apr 2020. COVID-19: Number of Death: Hubei: True Up data is updated daily, averaging 1.000 Person from Feb 2020 (Median) to 16 Apr 2020, with 3 observations. The data reached an all-time high of 1,290.000 Person in 16 Apr 2020 and a record low of -108.000 Person in 13 Feb 2020. COVID-19: Number of Death: Hubei: True Up data remains active status in CEIC and is reported by National Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: No of Death.

  6. Confirmed, death and recovery cases of COVID-19 in Greater China 2022, by...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Confirmed, death and recovery cases of COVID-19 in Greater China 2022, by region [Dataset]. https://www.statista.com/statistics/1090007/china-confirmed-and-suspected-wuhan-coronavirus-cases-region/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The new SARS-like coronavirus has spread around China since its outbreak in Wuhan - the capital of central China’s Hubei province. As of June 7, 2022, there were 2,785,848 active cases with symptoms in Greater China. The pandemic has caused a significant impact in the country's economy.

    Fast-moving epidemic

    In Wuhan, over 3.8 thousand deaths were registered in the heart of the outbreak. The total infection number surged on February 12, 2020 in Hubei province. After a change in official methodology for diagnosing and counting cases, thousands of new cases were added to the total figure. There is little knowledge about how the virus that originated from animals transferred to humans. While human-to-human transmission has been confirmed, other transmission routes through aerosol and fecal-oral are also possible. The deaths from the current virus COVID-19 (formally known as 2019-nCoV) has surpassed the toll from the SARS epidemic of 2002 and 2003.

    Key moments in the Chinese coronavirus timeline

    The doctor in Wuhan, Dr. Li Wenliang, who first warned about the new strain of coronavirus was silenced by the police. It was announced on February 7, 2020 that he died from the effects of the coronavirus infection. His death triggered a national backlash over freedom of speech on Chinese social media. On March 18, 2020, the Chinese government reported no new domestically transmissions for the first time after a series of quarantine and social distancing measures had been implemented. On March 31, 2020, the National Health Commission (NHC) in China started reporting the infection number of symptom-free individuals who tested positive for coronavirus. Before that, asymptomatic cases had not been included in the Chinese official count. China lifted ten-week lockdown on Wuhan on April 8, 2020. Daily life was returning slowly back to normal in the country. On April 17, 2020, health authorities in Wuhan revised its death toll, adding some 1,290 fatalities in its total count.

  7. a

    Cases country

    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Cases country [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/datasets/1cb306b5331945548745a5ccd290188e
    Explore at:
    Dataset updated
    Mar 26, 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 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.

  8. f

    COVID-19 Case Reports in China

    • figshare.com
    txt
    Updated Jan 29, 2022
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    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu (2022). COVID-19 Case Reports in China [Dataset]. http://doi.org/10.6084/m9.figshare.12656165.v35
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 29, 2022
    Dataset provided by
    figshare
    Authors
    Xiao Fan Liu; Xiao-Ke Xu; Ye Wu
    License

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

    Area covered
    China
    Description

    Chinese prefectural level governments started to report daily confirmed COVID-19 cases online, starting from January 2020. The disclosures may contain the mobility, potential exposure scenario, epidemiological characteristics, and other useful information of individual cases. We organized a group of content coders since early March 2020, kept monitoring the information updates, manually extracted useful information from the public disclosures, and compiled these datasets.We welcome any form of collaborations with us and non-commercial reuse of our dataset. We highly encourage interested parties to examine the data, report errors in our coding, and help us to keep the data updated.The detailed data description can be found on SSRN preprint server https://dx.doi.org/10.2139/ssrn.3705815.

  9. A

    ‘COVID-19 Coronavirus Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 14, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘COVID-19 Coronavirus Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-covid-19-coronavirus-dataset-4bcc/6a53de38/?iid=022-083&v=presentation
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    Dataset updated
    Feb 14, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘COVID-19 Coronavirus Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/vignesh1694/covid19-coronavirus on 14 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    A SARS-like virus outbreak originating in Wuhan, China, is spreading into neighboring Asian countries, and as far afield as Australia, the US a and Europe.

    On 31 December 2019, the Chinese authorities reported a case of pneumonia with an unknown cause in Wuhan, Hubei province, to the World Health Organisation (WHO)’s China Office. As more and more cases emerged, totaling 44 by 3 January, the country’s National Health Commission isolated the virus causing fever and flu-like symptoms and identified it as a novel coronavirus, now known to the WHO as 2019-nCoV.

    The following dataset shows the numbers of spreading coronavirus across the globe.

    Content

    Sno - Serial number Date - Date of the observation Province / State - Province or state of the observation Country - Country of observation Last Update - Recent update (not accurate in terms of time) Confirmed - Number of confirmed cases Deaths - Number of death cases Recovered - Number of recovered cases

    Acknowledgements

    Thanks to John Hopkins CSSE for the live updates on Coronavirus and data streaming. Source: https://github.com/CSSEGISandData/COVID-19 Dashboard: https://public.tableau.com/profile/vignesh.coumarane#!/vizhome/DashboardToupload/Dashboard12

    Inspiration

    Inspired by the following work: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    --- Original source retains full ownership of the source dataset ---

  10. A

    Coronavirus COVID-19 Cases V2

    • data.amerigeoss.org
    • covid19-southfield.hub.arcgis.com
    esri rest, html
    Updated Aug 11, 2020
    + more versions
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    ESRI (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://data.amerigeoss.org/sr/dataset/coronavirus-covid-19-cases-v2
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Aug 11, 2020
    Dataset provided by
    ESRI
    Description
    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.
  11. H

    World COVID-19 Daily Cases with Basemap

    • dataverse.harvard.edu
    • dataone.org
    Updated Feb 20, 2024
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    Spatial Data Lab (2024). World COVID-19 Daily Cases with Basemap [Dataset]. http://doi.org/10.7910/DVN/L20LOT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Spatial Data Lab
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World
    Dataset funded by
    NSF
    Description

    Updated to May 13, 2021. World COVID-19 daily cases with basemap, starting from January 22, 2020.

  12. T

    China Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). China Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/china/coronavirus-cases
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 4, 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
    Jan 4, 2020 - May 17, 2023
    Area covered
    China
    Description

    China recorded 99256991 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, China reported 5226 Coronavirus Deaths. This dataset includes a chart with historical data for China Coronavirus Cases.

  13. China CN: COVID-19: Confirmed Case

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: Confirmed Case [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 28, 2022 - Jan 8, 2023
    Area covered
    China
    Description

    China COVID-19: Confirmed Case data was reported at 118,147.000 Person in 08 Jan 2023. This records an increase from the previous number of 104,874.000 Person for 07 Jan 2023. China COVID-19: Confirmed Case data is updated daily, averaging 978.500 Person from Feb 2020 (Median) to 08 Jan 2023, with 1068 observations. The data reached an all-time high of 118,147.000 Person in 08 Jan 2023 and a record low of 55.000 Person in 09 Jun 2020. China COVID-19: Confirmed Case data remains active status in CEIC and is reported by National Health Commission. The data is categorized under High Frequency Database’s Disease Outbreaks – Table CN.GZ: COVID-19: No of Patient.

  14. Change on ways to shop online compared to before coronavirus in China 2020

    • statista.com
    Updated May 26, 2025
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    Statista (2025). Change on ways to shop online compared to before coronavirus in China 2020 [Dataset]. https://www.statista.com/statistics/1130130/china-change-on-online-shopping-channels-after-covid-19-outbreak/
    Explore at:
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2020
    Area covered
    China
    Description

    According to a survey on online shopping in China, the usage of live streaming e-commerce grew by 6.3 percent among respondents during the COVID-19 outbreak. Meanwhile, shopping via short videos increased by 2.6 percent compared to before the pandemic. Douyin (known as Tik Tok globally) and Kuaishou were two popular short video platforms among Chinese online shoppers.

  15. T

    China Coronavirus COVID-19 Recovered

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 11, 2020
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    TRADING ECONOMICS (2020). China Coronavirus COVID-19 Recovered [Dataset]. https://tradingeconomics.com/china/coronavirus-recovered
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Mar 11, 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
    Dec 31, 2019 - Dec 15, 2021
    Area covered
    China
    Description

    China recorded 86689 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, China reported 4636 Coronavirus Deaths. This dataset includes a chart with historical data for China Coronavirus Recovered.

  16. Metadata record for: Mobility, exposure, and epidemiological timelines of...

    • springernature.figshare.com
    txt
    Updated May 30, 2023
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    Scientific Data Curation Team (2023). Metadata record for: Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei Province [Dataset]. http://doi.org/10.6084/m9.figshare.13567553.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Scientific Data Curation Team
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Hubei, China
    Description

    This dataset contains key characteristics about the data described in the Data Descriptor Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei Province. Contents:

        1. human readable metadata summary table in CSV format
    
    
        2. machine readable metadata file in JSON format
    
  17. China CN: COVID-19: Asymptomatic Infection: Local: Confirmed: Changchun

    • ceicdata.com
    Updated Jan 28, 2023
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    CEICdata.com (2023). China CN: COVID-19: Asymptomatic Infection: Local: Confirmed: Changchun [Dataset]. https://www.ceicdata.com/en/china/covid19-key-city-local-daily-new-increase/cn-covid19-asymptomatic-infection-local-confirmed-changchun
    Explore at:
    Dataset updated
    Jan 28, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Nov 27, 2022 - Dec 8, 2022
    Area covered
    China
    Description

    China COVID-19: Asymptomatic Infection: Local: Confirmed: Changchun data was reported at 0.000 Person in 12 Dec 2022. This stayed constant from the previous number of 0.000 Person for 11 Dec 2022. China COVID-19: Asymptomatic Infection: Local: Confirmed: Changchun data is updated daily, averaging 0.000 Person from Nov 2022 (Median) to 12 Dec 2022, with 22 observations. The data reached an all-time high of 0.000 Person in 12 Dec 2022 and a record low of 0.000 Person in 12 Dec 2022. China COVID-19: Asymptomatic Infection: Local: Confirmed: Changchun data remains active status in CEIC and is reported by Changchun Municipality Health Commission. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GZ: COVID-19: Key City Local Daily New Increase.

  18. D

    COVID-19 Statistics in China

    • researchdata.ntu.edu.sg
    png, text/markdown +3
    Updated Oct 1, 2020
    + more versions
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    DR-NTU (Data) (2020). COVID-19 Statistics in China [Dataset]. http://doi.org/10.21979/N9/A2XWCW
    Explore at:
    tsv(60360), text/x-python(992), png(17344), text/plain; charset=us-ascii(7048), text/markdown(6426)Available download formats
    Dataset updated
    Oct 1, 2020
    Dataset provided by
    DR-NTU (Data)
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 20, 2020 - Feb 29, 2020
    Area covered
    China
    Description

    A data set on COVID-19 pandemic in China, which covers daily statistics of confirmed cases (new and cumulative), recoveries (new and cumulative) and deaths (new and cumulative) at city/county level. All data are extracted from Chinese government reports.

  19. China CN: COVID-19: No of Death: ytd: Hubei: Xiangyang

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: COVID-19: No of Death: ytd: Hubei: Xiangyang [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-death/cn-covid19-no-of-death-ytd-hubei-xiangyang
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 2, 2022 - Dec 13, 2022
    Area covered
    China
    Description

    COVID-19: Number of Death: Year to Date: Hubei: Xiangyang data was reported at 40.000 Person in 13 Dec 2022. This stayed constant from the previous number of 40.000 Person for 12 Dec 2022. COVID-19: Number of Death: Year to Date: Hubei: Xiangyang data is updated daily, averaging 40.000 Person from Feb 2020 (Median) to 13 Dec 2022, with 1045 observations. The data reached an all-time high of 40.000 Person in 13 Dec 2022 and a record low of 1.000 Person in 03 Feb 2020. COVID-19: Number of Death: Year to Date: Hubei: Xiangyang data remains active status in CEIC and is reported by National Health Commission. The data is categorized under High Frequency Database’s Disease Outbreaks – Table CN.GZ: COVID-19: No of Death.

  20. Change in fresh e-commerce ordering frequency before and after COVID-19 in...

    • statista.com
    Updated Jul 13, 2020
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    Statista (2020). Change in fresh e-commerce ordering frequency before and after COVID-19 in China 2020 [Dataset]. https://www.statista.com/statistics/1133144/china-covid-19-impact-on-fresh-e-commerce-purchasing-frequency/
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    Dataset updated
    Jul 13, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    China
    Description

    According to a survey among Chinese e-commerce consumers, the share of respondents who ordered twice or three times a week from fresh e-commerce platforms increased from **** percent to **** percent after the COVID-19 outbreak. Meanwhile, during the COVID-19 outbreak, ** percent of the respondents said they purchased fresh goods more than four times a week online.

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Stanford Center for Population Health Sciences (2020). Coronavirus COVID-19 Global Cases [Dataset]. http://doi.org/10.57761/pyf5-4e40
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Coronavirus COVID-19 Global Cases

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sas, csv, application/jsonl, spss, stata, parquet, arrow, avroAvailable download formats
Dataset updated
Jul 13, 2020
Dataset provided by
Redivis Inc.
Authors
Stanford Center for Population Health Sciences
Time period covered
Jan 22, 2020 - Jul 12, 2020
Description

Abstract

JHU Coronavirus COVID-19 Global Cases, by country

Documentation

PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Section 2

Included Data Sources are:

%3C!-- --%3E

Section 3

**Terms of Use: **

This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

Section 4

**U.S. county-level characteristics relevant to COVID-19 **

Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

https://github.com/mkiang/county_preparedness/

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