100+ datasets found
  1. H

    China COVID-19 Daily Cases with Basemap

    • dataverse.harvard.edu
    Updated Feb 20, 2024
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    Harvard Dataverse (2024). China COVID-19 Daily Cases with Basemap [Dataset]. http://doi.org/10.7910/DVN/MR5IJN
    Explore at:
    txt(403), application/zipped-shapefile(551391), rar(449706), application/zipped-shapefile(3891099), tsv(15056), tsv(19195), tsv(1490378), tsv(1781500), tsv(179360), tsv(179806), tsv(131828), tsv(1797378), tsv(125448), tsv(202008), tsv(200656)Available download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    Updated to January 14, 2021. Daily update on the numbers of COVID-2019 confirmed, recovered, dead, foreign imported cases with Chinese provincial and city level base maps in the format of Shapefile. The data starts from January 15, 2020.

  2. U.S. companies' views of Chinese market if China's COVID control measures...

    • statista.com
    • 20minutesfr.net
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). U.S. companies' views of Chinese market if China's COVID control measures change 2022 [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    In a survey among U.S. companies operating in China conducted in June 2022, about 44 percent of respondents stated that if China's COVID strategy changes, their views of the Chinese market would be reversible but it will take years to restore confidence. Collectively, 86 percent of U.S. companies surveyed believed that they would view the Chinese market positively when China changes its COVID-19 measures.

  3. T

    China Coronavirus COVID-19 Cases

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated May 29, 2022
    + more versions
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    TRADING ECONOMICS (2022). China Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/china/coronavirus-cases
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2022
    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.

  4. 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.

  5. s

    Coronavirus: the new disease Covid-19 explained

    • multimedia.scmp.com
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    South China Morning Post, Coronavirus: the new disease Covid-19 explained [Dataset]. https://multimedia.scmp.com/infographics/news/china/article/3047038/wuhan-virus/index.html
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    Dataset provided by
    South China Morning Post
    Description

    The Covid-19 outbreak caused China to put much of the country into lockdown but the virus has spread rapidly around the world. Many countries are quarantining travellers from overseas. Find out how it all began.

  6. c

    National Health Commission Update (China CDC Weekly)

    • weekly.chinacdc.cn
    txt
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    Chinese Center for Disease Control and Prevention, National Health Commission Update (China CDC Weekly) [Dataset]. http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm
    Explore at:
    txtAvailable download formats
    Dataset provided by
    Chinese Center for Disease Control and Prevention
    Description

    Tracking the Covid-19 Epidemic: Daily updates from the Chinese Center for Disease Control and Prevention on confirmed and cases, susected cases, deaths and recoveries.

    China CDC Weekly (CCDC Weekly) serves as a platform for the China CDC. CCDC Weekly publishes authoritative professional information on national population health, disease and risk factor monitoring, investigation data and important public health event investigation reports. China CDC will use the CCDC Weekly to express views, countermeasures, and suggestions regarding Chinese and global health issues and to report relevant research and surveillance data, reviews, and opinions, etc. CCDC Weekly will help guide public health and clinical practices to cement the China CDC’s professional influence.

    CCDC Weekly is managed by the National Health Commission of the People’s Republic of China, prepared by the Chinese Center for Disease Control and Prevention (China CDC) and published by the editorial department of CCDC Weekly set up by the China CDC.

    CCDC Weekly publishes weekly reports regularly and serial reports intermittently.

    CCDC Weekly readership predominantly consists of public health practitioners, physicians, researchers, educators, students and news media. It is the China CDC’s primary method for publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations.

  7. C

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

    • ceicdata.com
    Updated Mar 15, 2024
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    CEICdata.com (2024). 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
    Mar 15, 2024
    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 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 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.

  8. C

    China CN: COVID-19: Confirmed Case

    • ceicdata.com
    Updated Mar 15, 2024
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    CEICdata.com (2024). 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
    Mar 15, 2024
    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 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 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.

  9. T

    China Coronavirus COVID-19 Vaccination Total

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated May 15, 2023
    + more versions
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    TRADING ECONOMICS (2023). China Coronavirus COVID-19 Vaccination Total [Dataset]. https://tradingeconomics.com/china/coronavirus-vaccination-total
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 15, 2023
    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 15, 2020 - Feb 9, 2023
    Area covered
    China
    Description

    The number of COVID-19 vaccination doses administered in China rose to 3491077000 as of Oct 27 2023. This dataset includes a chart with historical data for China Coronavirus Vaccination Total.

  10. w

    WHO Coronavirus disease (COVID-19) situation reports

    • who.int
    pdf
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    World Health Organization, WHO Coronavirus disease (COVID-19) situation reports [Dataset]. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports
    Explore at:
    pdfAvailable download formats
    Dataset provided by
    World Health Organization
    Area covered
    Global
    Description

    Daily situation updates and data regarding the COVID-19 outbreak

    • Figure 1: Countries, territories or areas with reported confirmed cases of COVID-19.
    • Table 1: Confirmed and suspected cases of COVID-19 acute respiratory disease reported by provinces, regions and cities in China.
    • Table 2: Countries, territories or areas outside China with reported laboratory-confirmed COVID-19 cases and deaths.
    • Figure 2: Epidemic curve of confirmed COVID-19 cases reported outside of China, by date of report and WHO region.

  11. C

    China CN: COVID-19: Confirmed Case: Imported: New Increase

    • ceicdata.com
    Updated Feb 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: COVID-19: Confirmed Case: Imported: New Increase [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient-imported/cn-covid19-confirmed-case-imported-new-increase
    Explore at:
    Dataset updated
    Feb 15, 2024
    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 27, 2022 - Jan 7, 2023
    Area covered
    China
    Description

    China COVID-19: Confirmed Case: Imported: New Increase data was reported at 2.000 Person in 07 Jan 2023. This records a decrease from the previous number of 3.000 Person for 06 Jan 2023. China COVID-19: Confirmed Case: Imported: New Increase data is updated daily, averaging 20.000 Person from Mar 2020 to 07 Jan 2023, with 1040 observations. The data reached an all-time high of 233.000 Person in 03 Mar 2022 and a record low of 0.000 Person in 04 Jan 2023. China COVID-19: Confirmed Case: Imported: New Increase 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: Imported.

  12. H

    Novel Coronavirus (COVID-19) Cases Data

    • data.humdata.org
    • codesign.blog
    • +1more
    csv
    Updated May 2, 2023
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    Johns Hopkins University Center for Systems Science and Engineering (2023). Novel Coronavirus (COVID-19) Cases Data [Dataset]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 2, 2023
    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering
    License

    http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by

    Description
    JHU Has Stopped Collecting Data As Of 03/10/2023
    After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
    The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

    Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

    On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

    • time_series_covid19_confirmed_global.csv
    • time_series_covid19_deaths_global.csv
    • time_series_covid19_recovered_global.csv

    ---DEPRECATION WARNING---
    The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

    • time_series_19-covid-Confirmed.csv
    • time_series_19-covid-Deaths.csv
    • time_series_19-covid-Recovered.csv
  13. 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.

  14. o

    Data from: Public health initiatives from hospitalized patients with...

    • omicsdi.org
    xml
    Updated Apr 18, 2021
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    Zhao C (2021). Public health initiatives from hospitalized patients with COVID-19, China. [Dataset]. https://www.omicsdi.org/dataset/biostudies-literature/S-EPMC7303626
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Apr 18, 2021
    Authors
    Zhao C
    Variables measured
    Unknown
    Description

    BACKGROUND:Since December 2019, when it first occurred in Wuhan, China, coronavirus disease 2019 (COVID-19) has spread rapidly worldwide via human-to-human transmission. We aimed to describe the epidemiological and demographic features of COVID-19 outside Wuhan. METHODS:A single-center case series of 136 consecutive (from January 16 to February 17, 2020) patients with confirmed COVID-19 hospitalized in The First People's Hospital of Jingzhou, China, was retrospectively analyzed. Outcomes were followed up until February 19, 2020. RESULTS:Of the 136 patients (median age, 49 years; interquartile range [IQR], 33-63 years; range, 0.3-83 years), 91 (67%) had been to Wuhan or contacted persons from Wuhan. Forty-five (33.1%) were familial clusters. The median incubation period was 6 days (IQR: 4-11 days). All children had an exact exposure history, family members with COVID-19, and "Mild/Moderate" symptoms at admission. Among the 64 elderly patients, 14 (21.9%) had no exposure history, and 43 (67.2%) had a chronic illness. All 11 (8.1%) "Severe/very severe" illness at onset cases and 5 (3.7%) fatal cases were elderly patients. The duration from symptom onset to admission was positively correlated with the duration from symptom onset to endpoint. Overall, patients with a longer incubation period had more severe outcomes. CONCLUSION:As high-risk susceptible groups, strong protection should be implemented for children and the elderly. Universal screening should be performed for people with a clear exposure history, even lacking apparent symptoms. Given the rapid progression of COVID-19, people should be admitted quickly following symptom onset.

  15. C

    China CN: COVID-19: Confirmed Case: New Increase: Fujian

    • ceicdata.com
    Updated Feb 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: COVID-19: Confirmed Case: New Increase: Fujian [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case-new-increase-fujian
    Explore at:
    Dataset updated
    Feb 15, 2024
    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 28, 2022 - Jan 8, 2023
    Area covered
    China
    Description

    COVID-19: Confirmed Case: New Increase: Fujian data was reported at 736.000 Person in 08 Jan 2023. This records an increase from the previous number of 599.000 Person for 07 Jan 2023. COVID-19: Confirmed Case: New Increase: Fujian data is updated daily, averaging 7.000 Person from Aug 2021 to 08 Jan 2023, with 507 observations. The data reached an all-time high of 1,234.000 Person in 06 Jan 2023 and a record low of 0.000 Person in 06 Mar 2022. COVID-19: Confirmed Case: New Increase: Fujian 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.

  16. Medical personnel in China 2022, by region

    • statista.com
    • 20minutesfr.net
    Updated Dec 20, 2023
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    Wenyi Zhang (2023). Medical personnel in China 2022, by region [Dataset]. https://www.statista.com/topics/5898/novel-coronavirus-covid-19-in-china/
    Explore at:
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Wenyi Zhang
    Area covered
    China
    Description

    This statistic shows the number of medical personnel in China in 2022, by region. In 2022, around 368,600 people worked in the medical field in Beijing.

  17. Coronavirus COVID-19 Global Cases

    • redivis.com
    avro, csv, ndjson +4
    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:
    parquet, csv, stata, ndjson, avro, spss, sasAvailable 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/

  18. C

    China CN: COVID-19: under Medical Observation

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China CN: COVID-19: under Medical Observation [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-under-medical-observation
    Explore at:
    Dataset updated
    Dec 15, 2020
    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 29, 2020 - May 10, 2020
    Area covered
    China
    Description

    China COVID-19: under Medical Observation data was reported at 5,501.000 Person in 10 May 2020. This records a decrease from the previous number of 5,840.000 Person for 09 May 2020. China COVID-19: under Medical Observation data is updated daily, averaging 15,359.500 Person from Jan 2020 to 10 May 2020, with 112 observations. The data reached an all-time high of 189,660.000 Person in 07 Feb 2020 and a record low of 922.000 Person in 20 Jan 2020. China COVID-19: under Medical Observation 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.

  19. C

    China CN: COVID-19: Confirmed Case: ytd: Liaoning

    • ceicdata.com
    Updated Feb 15, 2024
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    CEICdata.com (2024). China CN: COVID-19: Confirmed Case: ytd: Liaoning [Dataset]. https://www.ceicdata.com/en/china/covid19-no-of-patient/cn-covid19-confirmed-case-ytd-liaoning
    Explore at:
    Dataset updated
    Feb 15, 2024
    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 28, 2022 - Jan 8, 2023
    Area covered
    China
    Description

    COVID-19: Confirmed Case: Year to Date: Liaoning data was reported at 3,553.000 Person in 08 Jan 2023. This records an increase from the previous number of 3,532.000 Person for 07 Jan 2023. COVID-19: Confirmed Case: Year to Date: Liaoning data is updated daily, averaging 431.000 Person from Jan 2020 to 08 Jan 2023, with 1083 observations. The data reached an all-time high of 3,553.000 Person in 08 Jan 2023 and a record low of 2.000 Person in 22 Jan 2020. COVID-19: Confirmed Case: Year to Date: Liaoning 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.

  20. u

    Coronavirus COVID-19 Cases V2

    • covid-19-data.unstatshub.org
    • hub.arcgis.com
    • +2more
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://covid-19-data.unstatshub.org/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.

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Harvard Dataverse (2024). China COVID-19 Daily Cases with Basemap [Dataset]. http://doi.org/10.7910/DVN/MR5IJN

China COVID-19 Daily Cases with Basemap

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26 scholarly articles cite this dataset (View in Google Scholar)
txt(403), application/zipped-shapefile(551391), rar(449706), application/zipped-shapefile(3891099), tsv(15056), tsv(19195), tsv(1490378), tsv(1781500), tsv(179360), tsv(179806), tsv(131828), tsv(1797378), tsv(125448), tsv(202008), tsv(200656)Available download formats
Dataset updated
Feb 20, 2024
Dataset provided by
Harvard Dataverse
License

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

Description

Updated to January 14, 2021. Daily update on the numbers of COVID-2019 confirmed, recovered, dead, foreign imported cases with Chinese provincial and city level base maps in the format of Shapefile. The data starts from January 15, 2020.

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