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 the first reported coronavirus case in Washington State on Jan. 21, 2020, 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.

2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

• Confirmed Cases by Country/Region/Sovereignty
• Confirmed Cases by Province/State/Dependency
• Deaths
• Recovered

Downloadable data:
https://github.com/CSSEGISandData/COVID-19

Additional Information about the Visual Dashboard:
https://systems.jhu.edu/research/public-health/ncov

2020

Content:

"Our World in Data" which in collaboration with The University of Oxford have developed a reliable repository of datasets about dozens of topics focusing on those big problems which affect the world. This is why since the beginning of COVID-19 outbreak several researchers have been collecting data from every country in the world about multiple indicators which can make us take better decisions, what is more amazing is the fact that this dataset offered is updated every day for all countries allowing people to keep track of it. In the following link you can find fascinating charts about the pandemic and obviously the World COVID-19 dataset (up to date) containing over 60 features which you can download for free:

https://ourworldindata.org/covid-vaccinations

Important to consider:

I will be updating this dataset every week according to the published data by the organization, if you found this dataset or the link given useful I would really appreciate your upvote!

Acknowledgements and Citation

Mathieu, E., Ritchie, H., Ortiz-Ospina, E. et al. A global database of COVID-19 vaccinations. Nat Hum Behav (2021)

Our World in Data - COVID-19

▶ About Our World in Data 🏢

• Our World in Data website
• Our World in Data GitHub

▶ Similar Datasets 📄

• COVID-19 World Vaccination Progress
• The Our World in Data COVID Vaccination Data
• Data on COVID-19 (coronavirus)
• COVID-19 dataset by Our World in Data

▶ Context 📝

The complete COVID-19 dataset is a collection of the COVID-19 data maintained and provided by Our World in Data. Our World in Data team will update it daily throughout the duration of the COVID-19 pandemic.

▶ Content 📃

These are the following information that includes in the dataset: | Metrics | Source | Updated | Countries | | --- | --- | | Vaccinations | Official data collated by the Our World in Data team | Daily | 218 | | Tests & positivity | Official data collated by the Our World in Data team | Weekly | 139 | | Hospital & ICU | Official data collated by the Our World in Data team | Weekly | 39 | | Confirmed cases | JHU CSSE COVID-19 Data | Daily | 196 | | Confirmed deaths | JHU CSSE COVID-19 Data | Daily | 196 | | Reproduction rate | Arroyo-Marioli F, Bullano F, Kucinskas S, Rondón-Moreno C | Daily | 185 | | Policy responses | Oxford COVID-19 Government Response Tracker | Daily | 186 | | Other variables of interest | International organizations (UN, World Bank, OECD, IHME…) | Fixed |

Data dictionary is available below ⤵

▶ Acknowledgements 🙏

I'd like to clarify that I'm only making data about vaccines collected by Our World in Data available to Kaggle community. This dataset is gathered, integrated, and posted the new version on a daily basis, as maintained by Our World in Data on their GitHub repository.

▶ Inspiration 💭

• Forecasting daily new confirmed cases of COVID-19 in specific country.
• Perform data analysis/data visualization of COVID-19 cases/death/etc.

📷 Images by Fusion Medical Animation.

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 the latest trend plot. It covers the US (county or state level), China, Canada, Australia (province/state level), and the rest of the world (country/region level, represented by either the country centroids or their capitals). Data sources are WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, the COVID Tracking Project (testing and hospitalizations), state and national government health departments, and local media reports. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team, JHU APL and JHU Data Services. This layer is opened to the public and free to share. Contact us.

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 has Stopped collecting data as of 10 March 2023.

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.

Replaced by http://data.europa.eu/88u/dataset/covid-19-coronavirus-data-daily-up-to-14-december-2020

Real-time tracking of pathogen evolution Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. It provides a continually-updated view of publicly available data alongside powerful analytic and visualization tools for use by the community. Its goal is to aid epidemiological understanding and improve outbreak response. With regards to the Novel coronavirus (2019-nCoV), nCoV genomes are incorporated as soon as they are shared, providing analyses and situation reports.

On January 21, 2020, the U.S. Centers for Disease Control and Prevention (CDC) and Washington State Department of Health (DOH) announced the first case of 2019 Novel Coronavirus (COVID-19) in the United States, in Washington state. The link below provides access to DOH daily updates of confirmed Washington State COVID-19 cases and deaths, along with essential information about the virus and guidance on prevention and risk management. The link includes Frequently Asked Questions, as well as resources for specific groups such as parents, caregivers, employers, schools and health care providers.

Technical and methodological data from the Coronavirus (COVID-19) Infection Survey, England, Wales, Northern Ireland and Scotland.

only the tweet IDs are shared. The tweet IDs in this dataset belong to the tweets created providing an exact location.

Notes: Under 'Stay At Mome Requirements', exceptions for leaving the house may include anything from being able to leave for daily exercise, grocery shopping, and essential trips, to only being allowed to leave once a week, or one person may leave at a time, etc. Under 'Workplace Closing', partial closing includes instances in which a country recommends closing the workplace (or working from home); businesses are open but with significant COVID-19-related operational adjustments; or when workplaces require closing for only some, but not all, sectors or categories of workers. Under 'School Closing', partial closing includes instances in which a country has recommended school closures; all schools are open but with significant COVID-19-related operational adjustments; or some schools, but not all, are closed; full closing includes schools that are in session but operating virtually. Under 'Restrictions On Gatherings', partial restrictions include restrictions on gatherings of more than 10 people; full restrictions include restrictions on gatherings of 10 people or less. Under 'International Travel Controls', partial restrictions include screening and quarantine requirements for those entering the country. Data as of July 10, 2023.

Estimates of the prevalence of self-reported long COVID and associated activity limitation, using UK Coronavirus (COVID-19) Infection Survey data. Experimental Statistics.

This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Metabiota at info@metabiota.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Metabiota’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Metabiota maintains a database of epidemiological information for over two thousand high-priority infectious disease events. Please contact us (info@metabiota.com) if you are interested in licensing the complete dataset.

Notes: Under 'Income Support', some support includes instances in which a country's government is replacing less than 50% of lost salary (or if a flat sum, it is less than 50% median salary); broad support includes instances in which a country's government is replacing 50% or more of lost salary (or if a flat sum, it is greater than 50% median salary). Under 'Debt/Contract Relief' refers to whether the government is freezing financial obligations for households (e.g. stopping loan repayments, preventing services like water from stopping, or banning evictions). Under debt contract relief, some support includes instances in which a country's government is providing narrow relief, specific to one kind of contract; broad support includes instances in which a country's government is providing broad debt/contract relief. Data as of July 10, 2023.

As of January 1, 2025, the total number of coronavirus (COVID-19) cases in Italy amounted to over 26.9 million, approximately 218,000 of which were active cases. Moreover, the number of people who recovered or were discharged from hospital after contracting the virus reached over 26.5 million, while the number of deceased was equal to 198,638. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Findings from the Coronavirus (COVID-19) Infection Survey for Scotland.

Notes: Under 'Vaccine Eligibility', partial availability includes availability for some or all of the following groups: key workers, non-elderly clinically vulnerable groups, and elderly groups, or for select broad groups/ages. Under 'Facial Coverings', recommend/partial requirement includes instances in which a country's government recommends wearing facial coverings, requires facial coverings in some situations, and requires facial coverings when social distancing is not possible. Data as of July 10, 2023.