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:

• World Health Organization (WHO): https://www.who.int/
• DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia.
• BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/
• National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml
• China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm
• Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html
• Macau Government: https://www.ssm.gov.mo/portal/
• Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0
• US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html
• Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html
• Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance
• European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
• Ministry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19
• Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus
• 1Point3Arces: https://coronavirus.1point3acres.com/en
• WorldoMeters: https://www.worldometers.info/coronavirus/

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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/

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.

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.

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.

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.

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

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.

China COVID-19: Vaccinated People: Booster Shots: To-Date data was reported at 827.904 Person mn in 27 Apr 2023. This records an increase from the previous number of 827.839 Person mn for 20 Apr 2023. China COVID-19: Vaccinated People: Booster Shots: To-Date data is updated daily, averaging 793.279 Person mn from Nov 2021 (Median) to 27 Apr 2023, with 51 observations. The data reached an all-time high of 827.904 Person mn in 27 Apr 2023 and a record low of 37.973 Person mn in 05 Nov 2021. China COVID-19: Vaccinated People: Booster Shots: To-Date 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: Vaccination.

COVID-19: Confirmed Case: New Increase: Yunnan data was reported at 736.000 Person in 08 Jan 2023. This records an increase from the previous number of 129.000 Person for 07 Jan 2023. COVID-19: Confirmed Case: New Increase: Yunnan data is updated daily, averaging 3.000 Person from Aug 2021 (Median) to 08 Jan 2023, with 507 observations. The data reached an all-time high of 736.000 Person in 08 Jan 2023 and a record low of 0.000 Person in 26 Oct 2022. COVID-19: Confirmed Case: New Increase: Yunnan 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.

China COVID-19: Local: New Increase: Community Screening: Changchun data was reported at 2.000 Person in 12 Dec 2022. This records a decrease from the previous number of 3.000 Person for 11 Dec 2022. China COVID-19: Local: New Increase: Community Screening: Changchun data is updated daily, averaging 4.500 Person from Nov 2022 (Median) to 12 Dec 2022, with 22 observations. The data reached an all-time high of 34.000 Person in 27 Nov 2022 and a record low of 0.000 Person in 24 Nov 2022. China COVID-19: Local: New Increase: Community Screening: 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.

View daily updates and historical trends for China Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts analytic…

According to a survey in China in August 2020, around ** percent of respondents confirmed that they are more inclined to buy sustainably sourced products after the COVID-19 pandemic. Meanwhile, around ** percent of respondent said they are also more likely to buy local products since the coronavirus outbreak.

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.

Deprecated

Please see https://data.humdata.org/dataset/coronavirus-covid-19-cases-and-deaths for latest COVID-19 stats from the WHO.

Coronavirus COVID-19 cummulative cases and deaths by province for China and aggregated by country for the rest of the World.

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 level. All data are extracted from Chinese government reports.

Abstract

The COVID-19 Vaccination Survey in China was conducted in July 2021 to understand refugees' accessibility and willingness to receive a COVID-19 vaccination in China. UNHCR stresses that no one can be left behind in the global effort against COVID-19 and is monitoring the inclusion of refugees and asylum seekers in vaccination plans around the world. At the time, Chinese government policy did not provide free vaccines for foreigners without social security. The survey results however show that this policy was implemented with some flexibility, because among the few that were vaccinated already, more than half received a free COVID-19 vaccine. Some refugees reported difficulties or lack of information about vaccine registration or identity documents to book an appointment. Results further show that even though most are willing to get vaccinated, anti-vaccine sentiments are driven by fear of side effects.

Geographic coverage

The survey covers 24 provinces with most respondents residing in the province of Guangdong.

Analysis unit

Households

Universe

The survey was distributed to all 1017 refugees and asylum seekers.

Kind of data

Census/enumeration data [cen]

Sampling procedure

No sampling was implmented.

Mode of data collection

Self-administered questionnaire: Web-based

Response rate

Out of 1017 distributed surveys, UNHCR received 455 answers (45%). Of those, 30 respondents did not provide consent to participate in the survey.

In 2020, ** percent of respondents from China reported the number of commuting trips slightly increased with the arrival of the COVID-19 pandemic. The number of respondents with the same opinion has since increased, amounting to ** percent of respondents as reported from the fifth wave survey findings.

This dataset records the county-level COVID-19 risk levels from April 2, 2021, to December 15, 2022, with daily frequency. The data was sourced from the Chinese State Council’s public website for COVID-19 risk levels (the original site is no longer active). Risk levels are categorized into three classes: high risk, medium risk, and low risk. Until July 21, 2022, only regions designated as medium or high risk were publicly listed, with all other areas classified as low risk. From July 21 to November 15, 2022, the website expanded to include low-risk areas as well, marking all other regions as under “normal preventive control.” Starting November 15, 2022, only high-risk and low-risk regions were listed, with other areas still under normal preventive control. For details on these adjustments in risk definitions, please refer to related policy documents and reports. The dataset includes binary status variables for both high_risk and mid_risk levels, where a value of 1 indicates that a county contains at least one area classified as high or medium risk, respectively. Please note that a county may simultaneously contain both high- and medium-risk areas, resulting in both high_risk and mid_risk being marked as 1. This dataset has been cleaned to the county level, though the original data included some street-level information. Researchers interested in the original finer-level details should contact the authors directly. The dataset, along with additional notes, is available at: https://github.com/dadasmash/China_COVID_Risk_Level_Dataset/tree/master For further details on the dataset’s structure, please refer to the original publication. If you utilize this dataset, please cite: • Da Gong, Zhuocheng Shang, Yaqin Su, Andong Yan, Qi Zhang, “Economic impacts of China’s zero-COVID policies,” China Economic Review, Volume 83, 2024, 102101, ISSN 1043-951X, https://doi.org/10.1016/j.chieco.2023.102101. Contributors: Da Gong, Andong Yan, Qi Zhang

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.

View daily updates and historical trends for China Coronavirus Cases Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Track econ…