100+ datasets found
  1. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    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.

  2. m

    COVID-19 reporting

    • mass.gov
    Updated Oct 21, 2022
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    Executive Office of Health and Human Services (2020). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting
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    Dataset updated
    Oct 21, 2022
    Dataset provided by
    Executive Office of Health and Human Services
    Department of Public Health
    Area covered
    Massachusetts
    Description

    The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

  3. Johns Hopkins COVID-19 Case Tracker

    • kaggle.com
    • data.world
    Updated Aug 16, 2020
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    Cansin Wayne (2020). Johns Hopkins COVID-19 Case Tracker [Dataset]. https://www.kaggle.com/datasets/thecansin/johns-hopkins-covid19-case-tracker
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 16, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Cansin Wayne
    Description

    DESCRIPTION

    Johns Hopkins' county-level COVID-19 case and death data, paired with population and rates per 100,000

    SUMMARY Updates April 9, 2020 The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County. April 20, 2020 Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well. April 29, 2020 The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.

    Overview The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

    The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

    This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

    The AP is updating this dataset hourly at 45 minutes past the hour.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Queries Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

    Filter cases by state here

    Rank states by their status as current hotspots. Calculates the 7-day rolling average of new cases per capita in each state: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=481e82a4-1b2f-41c2-9ea1-d91aa4b3b1ac

    Find recent hotspots within your state by running a query to calculate the 7-day rolling average of new cases by capita in each county: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=b566f1db-3231-40fe-8099-311909b7b687&showTemplatePreview=true

    Join county-level case data to an earlier dataset released by AP on local hospital capacity here. To find out more about the hospital capacity dataset, see the full details.

    Pull the 100 counties with the highest per-capita confirmed cases here

    Rank all the counties by the highest per-capita rate of new cases in the past 7 days here. Be aware that because this ranks per-capita caseloads, very small counties may rise to the very top, so take into account raw caseload figures as well.

    Interactive Embed Code

    Caveats This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website. In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules. In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county" This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members. Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates. Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey. The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories --...

  4. Coronavirus (COVID-19) new cases in Italy as of January 2025, by date of...

    • statista.com
    • tokrwards.com
    Updated Jan 30, 2025
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    Statista (2025). Coronavirus (COVID-19) new cases in Italy as of January 2025, by date of report [Dataset]. https://www.statista.com/statistics/1101690/coronavirus-new-cases-development-italy/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 22, 2020 - Jan 8, 2025
    Area covered
    Italy
    Description

    The first two cases of the new coronavirus (COVID-19) in Italy were recorded between the end of January and the beginning of February 2020. Since then, the number of cases in Italy increased steadily, reaching over 26.9 million as of January 8, 2025. The region mostly hit by the virus in the country was Lombardy, counting almost 4.4 million cases. On January 11, 2022, 220,532 new cases were registered, which represented the biggest daily increase in cases in Italy since the start of the pandemic. The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  5. c

    The COVID Tracking Project

    • covidtracking.com
    google sheets
    + more versions
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    The COVID Tracking Project [Dataset]. https://covidtracking.com/
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    google sheetsAvailable download formats
    Description

    The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

    Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.

    From here, you can also learn about our methodology, see who makes this, and find out what information states provide and how we handle it.

  6. Coronavirus (COVID-19) cases in Italy as of January 2025, by region

    • statista.com
    Updated Nov 15, 2023
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    Statista (2023). Coronavirus (COVID-19) cases in Italy as of January 2025, by region [Dataset]. https://www.statista.com/statistics/1099375/coronavirus-cases-by-region-in-italy/
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, the country had to face four new harsh waves of contagion. As of January 1, 2025, the total number of cases reported by the authorities reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto and the southern region of Campania followed in the list. When adjusting these figures for the population size of each region, however, the picture changed, with the region of Veneto being the area where the virus had the highest relative incidence. Coronavirus in Italy Italy has been among the countries most impacted by the coronavirus outbreak. Moreover, the number of deaths due to coronavirus recorded in Italy is significantly high, making it one of the countries with the highest fatality rates worldwide, especially in the first stages of the pandemic. In particular, a very high mortality rate was recorded among patients aged 80 years or older. Impact on the economy The lockdown imposed during the Spring 2020, and other measures taken in the following months to contain the pandemic, forced many businesses to shut their doors and caused industrial production to slow down significantly. As a result, consumption fell, with the sectors most severely hit being hospitality and tourism, air transport, and automotive. Several predictions about the evolution of the global economy were published at the beginning of the pandemic, based on different scenarios about the development of the pandemic. According to the official results, it appeared that the coronavirus outbreak had caused Italy’s GDP to shrink by approximately nine percent in 2020.

  7. C

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

    • ceicdata.com
    Updated Dec 15, 2024
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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
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    Dataset updated
    Dec 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 (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.

  8. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • tokrwards.com
    • +1more
    + more versions
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    Statista, COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  9. Excess Deaths Associated with COVID-19

    • catalog.data.gov
    • healthdata.gov
    • +7more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Excess Deaths Associated with COVID-19 [Dataset]. https://catalog.data.gov/dataset/excess-deaths-associated-with-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected. Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.

  10. f

    First regression: Rate of rise of confirmed cases of COVID-19 in 50...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 12, 2023
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    Adam Kaplin; Caesar Junker; Anupama Kumar; Mary Anne Ribeiro; Eileen Yu; Michael Wang; Ted Smith; Shesh N. Rai; Aruni Bhatnagar (2023). First regression: Rate of rise of confirmed cases of COVID-19 in 50 countries, and the associated local meteorological and demographic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0246167.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adam Kaplin; Caesar Junker; Anupama Kumar; Mary Anne Ribeiro; Eileen Yu; Michael Wang; Ted Smith; Shesh N. Rai; Aruni Bhatnagar
    License

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

    Description

    First regression: Rate of rise of confirmed cases of COVID-19 in 50 countries, and the associated local meteorological and demographic variables.

  11. Google search increase for leisure activities due to COVID-19 in Hungary...

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). Google search increase for leisure activities due to COVID-19 in Hungary 2020 [Dataset]. https://www.statista.com/statistics/1108012/leisure-google-search-rise-due-to-coronavirus-hungary/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Hungary
    Description

    The coronavirus (COVID-19) outbreak caused major changes in the everyday lives of people and also in the way they spent their free time in Hungary. Compared to data from March 2019, there had been a 356 percent rise in the interest for watching series in Hungary as of March 2020, based on Google search queries.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  12. Number of active coronavirus cases in Italy as of January 2025, by status

    • statista.com
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    Statista, Number of active coronavirus cases in Italy as of January 2025, by status [Dataset]. https://www.statista.com/statistics/1104084/current-coronavirus-infections-in-italy-by-status/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    Italy
    Description

    As of January 1, 2025, the number of active coronavirus (COVID-19) infections in Italy was approximately 218,000. Among these, 42 infected individuals were being treated in intensive care units. Another 1,332 individuals infected with the coronavirus were hospitalized with symptoms, while approximately 217,000 thousand were in isolation at home. The total number of coronavirus cases in Italy reached over 26.9 million (including active cases, individuals who recovered, and individuals who died) as of the same date. The region mostly hit by the spread of the virus was Lombardy, which counted almost 4.4 million cases.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

  13. The Rise of Pet and Plant Parents - Coronavirus (COVID-19) Consumer Behavior...

    • store.globaldata.com
    Updated Jul 31, 2020
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    GlobalData UK Ltd. (2020). The Rise of Pet and Plant Parents - Coronavirus (COVID-19) Consumer Behavior Impact [Dataset]. https://store.globaldata.com/report/the-rise-of-pet-and-plant-parents-coronavirus-covid-19-consumer-behavior-impact/
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    Dataset updated
    Jul 31, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    This report is part of the GlobalData COVID-19 Impact on Consumer Behavior series, which tracks how the pandemic and many factors have impacted consumer behavior and purchase decisions. Read More

  14. KAP and Fear of COVID-19 in Bangladesh

    • kaggle.com
    Updated Sep 6, 2020
    + more versions
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    K M Amran Hossain (2020). KAP and Fear of COVID-19 in Bangladesh [Dataset]. https://www.kaggle.com/datasets/kmamranhossain/kap-and-fear-of-covid19-in-bangladesh
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 6, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    K M Amran Hossain
    Area covered
    Bangladesh
    Description

    Dataset

    This dataset was created by K M Amran Hossain

    Released under Data files © Original Authors

    Contents

  15. f

    Second regression: The association of temperature and dewpoint with the rate...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Feb 17, 2021
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    Wang, Michael; Junker, Caesar; Kaplin, Adam; Bhatnagar, Aruni; Ribeiro, Mary Anne; Kumar, Anupama; Yu, Eileen; N. Rai, Shesh; Smith, Ted (2021). Second regression: The association of temperature and dewpoint with the rate of rise of COVID-19 cases. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000886858
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    Dataset updated
    Feb 17, 2021
    Authors
    Wang, Michael; Junker, Caesar; Kaplin, Adam; Bhatnagar, Aruni; Ribeiro, Mary Anne; Kumar, Anupama; Yu, Eileen; N. Rai, Shesh; Smith, Ted
    Description

    Second regression: The association of temperature and dewpoint with the rate of rise of COVID-19 cases.

  16. C

    China CN: COVID-19: Local: New Increase: Community Screening: Changchun

    • ceicdata.com
    Updated Feb 2, 2023
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    CEICdata.com (2023). China CN: COVID-19: Local: New Increase: Community Screening: Changchun [Dataset]. https://www.ceicdata.com/en/china/covid19-key-city-local-daily-new-increase/cn-covid19-local-new-increase-community-screening-changchun
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    Dataset updated
    Feb 2, 2023
    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
    Nov 27, 2022 - Dec 8, 2022
    Area covered
    China
    Description

    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.

  17. Daily increase of COVID-19 cases in Qatar 2020

    • statista.com
    • thefarmdosupply.com
    Updated Jul 7, 2022
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    Statista (2022). Daily increase of COVID-19 cases in Qatar 2020 [Dataset]. https://www.statista.com/statistics/1107311/qatar-daily-increase-of-coronavirus-cases/
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    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 22, 2020 - Apr 2, 2020
    Area covered
    Qatar
    Description

    As of April 2, 2020, the daily increase of coronavirus (COVID-19) cases in Qatar amounted to 114 cases. The highest daily increase of cases in the country was recorded on March 11, 2020 at 238 cases. As of the same date, there were three deaths and 72 recoveries recorded in Qatar.

  18. o

    Data from: Medication and substance use increases among people using...

    • openicpsr.org
    delimited
    Updated Jul 1, 2021
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    Kevin Boehnke; Jenna McAfee; Joshua Ackerman; Daniel Kruger (2021). Medication and substance use increases among people using cannabis medically during the COVID-19 pandemic [Dataset]. http://doi.org/10.3886/E144201V1
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    delimitedAvailable download formats
    Dataset updated
    Jul 1, 2021
    Dataset provided by
    University of Michigan Medical School
    University of Michigan
    Authors
    Kevin Boehnke; Jenna McAfee; Joshua Ackerman; Daniel Kruger
    License

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

    Time period covered
    Apr 2020 - May 2020
    Area covered
    United States
    Description

    The ongoing COVID-19 pandemic strains the medical system, limiting access to healthcare services. Many people use cannabis medically for chronic health conditions and as a substitute for other medications. As such, changes in cannabis access associated with COVID-19 may result in increased non-cannabis drug use. We recruited individuals through Amazon Mechanical Turk who reported current medical cannabis use in April and May of 2020. We assessed the effects of the COVID-19 pandemic on patterns of medication and substance use, as well as on cannabis use patterns. Over half of participants either started using or increased use of medications or substances because of the COVID-19 pandemic, most commonly alcohol and sleep aids. The reported increase in drug use among people using medical cannabis is concerning. Because the pandemic will likely continue for months (or even years), having a better understanding of why this is occurring is critical for developing effective harm-reduction strategies in this population.

  19. Cumulative number of coronavirus cases in Finland since January 2020

    • statista.com
    • tokrwards.com
    • +1more
    Updated Aug 25, 2023
    + more versions
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    Statista (2023). Cumulative number of coronavirus cases in Finland since January 2020 [Dataset]. https://www.statista.com/statistics/1102255/cumulative-coronavirus-cases-in-finland/
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    Dataset updated
    Aug 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Finland
    Description

    By December 8, 2022, the number of confirmed coronavirus (COVID-19) cases in Finland had reached a total of 1,417,909.

    The first case of COVID-19 in Finland was confirmed on January 29, 2020. The number of new coronavirus cases stayed at one until they started to increase at the end of February 2020, developing into a first wave that lasted until the end of spring. From September, new cases began to rise again and only decreasing significantly between April and June 2021. Since July 2021, the third wave reached Finland. There were over 50 thousand new cases confirmed on April 21, 2022, which was the highest number of cases recorded in a single day.

    Most COVID-19 cases were reported among 30 to 39 year-olds

    Since the total number of coronavirus (COVID-19) cases is on a steady rise, all age groups are affected by the virus. Most of the reported cases since the outbreak were found among 20 to 49 year-olds, with the highest proportion of cases in the 30 to 39 year-olds age group.

    The total cumulative number of deaths since the outbreak is increasing along with the total cumulative number of cases. The first death caused by the COVID-19 in Finland was reported on March 20, 2020.

    Over 4.4 million first doses of the COVID-19 vaccine have already been administered

    In late December 2020, the coronavirus vaccination rollout started in Finland. Till December 2021, more than 4.4 million first doses of coronavirus (COVID-19) vaccine were administered, most of them in the Helsinki and Uusimaa region. The vaccination is offered to everyone aged five or older who is willing to take the vaccine. So far, the highest number of vaccine doses were recorded in the age group of 60 to 69 years, closely followed by 50 to 59 year-olds.

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

  20. Random effects design at the department level on the effect of contact...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Andres I. Vecino-Ortiz; Juliana Villanueva Congote; Silvana Zapata Bedoya; Zulma M. Cucunuba (2023). Random effects design at the department level on the effect of contact tracing on COVID-19 mortality. [Dataset]. http://doi.org/10.1371/journal.pone.0246987.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Andres I. Vecino-Ortiz; Juliana Villanueva Congote; Silvana Zapata Bedoya; Zulma M. Cucunuba
    License

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

    Description

    Random effects design at the department level on the effect of contact tracing on COVID-19 mortality.

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New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html

Coronavirus (Covid-19) Data in the United States

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Dataset provided by
New York Times
Description

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.

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