16 datasets found
  1. y

    Utah Coronavirus Cases (DISCONTINUED)

    • ycharts.com
    html
    Updated Oct 19, 2022
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    Center for Disease Control and Prevention (2022). Utah Coronavirus Cases (DISCONTINUED) [Dataset]. https://ycharts.com/indicators/utah_coronavirus_cases
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 19, 2022
    Dataset provided by
    YCharts
    Authors
    Center for Disease Control and Prevention
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 22, 2020 - Oct 18, 2022
    Area covered
    Utah
    Variables measured
    Utah Coronavirus Cases (DISCONTINUED)
    Description

    View daily updates and historical trends for Utah Coronavirus Cases (DISCONTINUED). Source: Center for Disease Control and Prevention. Track economic data…

  2. a

    Utah COVID19 Cases by Local Health Department View

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 16, 2020
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    Utah Division of Emergency Management (2020). Utah COVID19 Cases by Local Health Department View [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/80b4d38c1b614e3e8ad6cf688b4e36d2
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    Dataset updated
    Mar 16, 2020
    Dataset authored and provided by
    Utah Division of Emergency Management
    Area covered
    Description

    View layer for COVID-19 Case data, taken from https://coronavirus.utah.gov/case-counts/ showing case counts by local health department.The Utah Department of Health updates their public COVID-19 case count data daily between 12:30 p.m. and 1:00 p.m. Mountain Time. The Utah Division of Emergency Management updates this data layer based on the UDOH daily updates between 12:45 and 1:15 p.m. Mountain Time. For public case count data, the Utah Department of Health reports cases by local health department.

  3. Utah COVID-19 Cases

    • kaggle.com
    zip
    Updated Mar 28, 2020
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    David Spencer (2020). Utah COVID-19 Cases [Dataset]. https://www.kaggle.com/davidspencer/utah-covid19-2020-03-26
    Explore at:
    zip(418 bytes)Available download formats
    Dataset updated
    Mar 28, 2020
    Authors
    David Spencer
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Utah
    Description

    Source and Freshness

    This data is being updated as the Utah Department of Health provides new official numbers every afternoon.

    Columns

    • date
    • cases onset - new cases that day
    • cases total - sum of cases in Utah since 2020-02-28
    • deaths daily - new deaths that day
    • deaths total - sum of deaths in Utah since 2020-02-28 (first death 2020-03-22)

    Acknowledgements

    This data is provided by the State of Utah, Department of Health

    Inspiration

    I hope this makes it easier for Utahns to use the data provided by the State

  4. d

    U.S. Counties and Territories for COVID-19 Trends

    • disasterpartners.org
    • visionzero.geohub.lacity.org
    Updated Apr 28, 2020
    + more versions
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    Urban Observatory by Esri (2020). U.S. Counties and Territories for COVID-19 Trends [Dataset]. https://www.disasterpartners.org/datasets/49c25e0ce50340e08fcfe51fe6f26d1e
    Explore at:
    Dataset updated
    Apr 28, 2020
    Dataset authored and provided by
    Urban Observatory by Esri
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.Trends represent the day-to-day rate of new cases with a focus on the most recent 10 to 14 days. Includes Puerto Rico, Guam, Northern Marianas, and U.S. Virgin Islands. Daily new case counts are volatile for many reasons and sometimes the trends reflect that volatility. Thus, we decided to include longer-term summaries here. County Trends as of 9 Mar 20230 (-0) in Emergent1135 (+51) in Spreading1664 (-63) in Epidemic230 (+10) in Controlled110 (+2) in End StageNotes: Many states now only report once per week, and FL only once every two weeks. On 3/7/2022 we adjusted the formula for active cases to reflect the Omicron Variant which is documented to cause lower rates of serious and severe illness. To produce these trends we analyze daily updates from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.For more information about COVID-19 trends, see our country level trends story map and the full methodology.Data Source: Johns Hopkins University CSSE US Cases by County dashboard and USAFacts for Utah County level Data.Feature layer generated from running the Join Features solution that is the basis for daily updates for the U.S. County COVID-19 Tends Story Map.

  5. Weekly Summary of U.S. COVID-19 Trends

    • beta-search-prod-pre-a-hub.hub.arcgis.com
    Updated Jul 4, 2020
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    Urban Observatory by Esri (2020). Weekly Summary of U.S. COVID-19 Trends [Dataset]. https://beta-search-prod-pre-a-hub.hub.arcgis.com/datasets/UrbanObservatory::weekly-summary-of-u-s-covid-19-trends-1
    Explore at:
    Dataset updated
    Jul 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    United States
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This map is updated weekly and currently shows data through Mar 5, 2023. Notes: as of 5/25/2021, Nebraska stopped sharing COVID-19 testing and on 9/26/21 began, but with a lump sum for the previous four months. Nebraska's reporting became unconsumable by JHU on July 1, 2022. Maryland stopped reporting results for several weeks on 12/4/2021 due to a website hack.It shows COVID-19 Trend for the most recent Monday with a colored dot for each county. The larger the dot, the longer the county has had this trend.Includes Puerto Rico, Guam, Northern Marianas, U.S. Virgin Islands.The intent of this map is to give more context than just the current day of new data because daily data for COVID-19 cases is volatile and can be unreliable on the day it is first reported. Weekly summaries in the counts of new cases smooth out this volatility.Click or tap on a county to see a history of trend changes and a weekly graph of new cases going back to February 1, 2020.For more information about COVID-19 trends, see the full methodology.Data Source: Johns Hopkins University CSSE US Cases by County dashboard and USAFacts for Utah County level Data.

  6. Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    Updated Jun 1, 2023
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    CDC COVID-19 Response (2023). Weekly United States COVID-19 Cases and Deaths by State - ARCHIVED [Dataset]. https://data.cdc.gov/w/pwn4-m3yp/tdwk-ruhb?cur=mQBYmd4Um4_
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    Reporting of new Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

    Aggregate Data Collection Process Since the start of the COVID-19 pandemic, data have been gathered through a robust process with the following steps:

    • A CDC data team reviews and validates the information obtained from jurisdictions’ state and local websites via an overnight data review process.
    • If more than one official county data source exists, CDC uses a comprehensive data selection process comparing each official county data source, and takes the highest case and death counts respectively, unless otherwise specified by the state.
    • CDC compiles these data and posts the finalized information on COVID Data Tracker.
    • County level data is aggregated to obtain state and territory specific totals.
    This process is collaborative, with CDC and jurisdictions working together to ensure the accuracy of COVID-19 case and death numbers. County counts provide the most up-to-date numbers on cases and deaths by report date. CDC may retrospectively update counts to correct data quality issues.

    Methodology Changes Several differences exist between the current, weekly-updated dataset and the archived version:

    • Source: The current Weekly-Updated Version is based on county-level aggregate count data, while the Archived Version is based on State-level aggregate count data.
    • Confirmed/Probable Cases/Death breakdown:  While the probable cases and deaths are included in the total case and total death counts in both versions (if applicable), they were reported separately from the confirmed cases and deaths by jurisdiction in the Archived Version.  In the current Weekly-Updated Version, the counts by jurisdiction are not reported by confirmed or probable status (See Confirmed and Probable Counts section for more detail).
    • Time Series Frequency: The current Weekly-Updated Version contains weekly time series data (i.e., one record per week per jurisdiction), while the Archived Version contains daily time series data (i.e., one record per day per jurisdiction).
    • Update Frequency: The current Weekly-Updated Version is updated weekly, while the Archived Version was updated twice daily up to October 20, 2022.
    Important note: The counts reflected during a given time period in this dataset may not match the counts reflected for the same time period in the archived dataset noted above. Discrepancies may exist due to differences between county and state COVID-19 case surveillance and reconciliation efforts.

    Confirmed and Probable Counts In this dataset, counts by jurisdiction are not displayed by confirmed or probable status. Instead, confirmed and probable cases and deaths are included in the Total Cases and Total Deaths columns, when available. Not all jurisdictions report probable cases and deaths to CDC.* Confirmed and probable case definition criteria are described here:

    Council of State and Territorial Epidemiologists (ymaws.com).

    Deaths CDC reports death data on other sections of the website: CDC COVID Data Tracker: Home, CDC COVID Data Tracker: Cases, Deaths, and Testing, and NCHS Provisional Death Counts. Information presented on the COVID Data Tracker pages is based on the same source (total case counts) as the present dataset; however, NCHS Death Counts are based on death certificates that use information reported by physicians, medical examiners, or coroners in the cause-of-death section of each certificate. Data from each of these pages are considered provisional (not complete and pending verification) and are therefore subject to change. Counts from previous weeks are continually revised as more records are received and processed.

    Number of Jurisdictions Reporting There are currently 60 public health jurisdictions reporting cases of COVID-19. This includes the 50 states, the District of Columbia, New York City, the U.S. territories of American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, Puerto Rico, and the U.S Virgin Islands as well as three independent countries in compacts of free association with the United States, Federated States of Micronesia, Republic of the Marshall Islands, and Republic of Palau. New York State’s reported case and death counts do not include New York City’s counts as they separately report nationally notifiable conditions to CDC.

    CDC COVID-19 data are available to the public as summary or aggregate count files, including total counts of cases and deaths, available by state and by county. These and other data on COVID-19 are available from multiple public locations, such as:

    https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

    https://www.cdc.gov/covid-data-tracker/index.html

    https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

    https://www.cdc.gov/coronavirus/2019-ncov/php/open-america/surveillance-data-analytics.html

    Additional COVID-19 public use datasets, include line-level (patient-level) data, are available at: https://data.cdc.gov/browse?tags=covid-19.

    Archived Data Notes:

    November 3, 2022: Due to a reporting cadence issue, case rates for Missouri counties are calculated based on 11 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 3, 2022, instead of the customary 7 days’ worth of data.

    November 10, 2022: Due to a reporting cadence change, case rates for Alabama counties are calculated based on 13 days’ worth of case count data in the Weekly United States COVID-19 Cases and Deaths by State data released on November 10, 2022, instead of the customary 7 days’ worth of data.

    November 10, 2022: Per the request of the jurisdiction, cases and deaths among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case and death counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases and deaths. 

    November 17, 2022: Two new columns, weekly historic cases and weekly historic deaths, were added to this dataset on November 17, 2022. These columns reflect case and death counts that were reported that week but were historical in nature and not reflective of the current burden within the jurisdiction. These historical cases and deaths are not included in the new weekly case and new weekly death columns; however, they are reflected in the cumulative totals provided for each jurisdiction. These data are used to account for artificial increases in case and death totals due to batched reporting of historical data.

    December 1, 2022: Due to cadence changes over the Thanksgiving holiday, case rates for all Ohio counties are reported as 0 in the data released on December 1, 2022.

    January 5, 2023: Due to North Carolina’s holiday reporting cadence, aggregate case and death data will contain 14 days’ worth of data instead of the customary 7 days. As a result, case and death metrics will appear higher than expected in the January 5, 2023, weekly release.

    January 12, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0. As a result, case and death metrics will appear lower than expected in the January 12, 2023, weekly release.

    January 19, 2023: Due to a reporting cadence issue, Mississippi’s aggregate case and death data will be calculated based on 14 days’ worth of data instead of the customary 7 days in the January 19, 2023, weekly release.

    January 26, 2023: Due to a reporting backlog of historic COVID-19 cases, case rates for two Michigan counties (Livingston and Washtenaw) were higher than expected in the January 19, 2023 weekly release.

    January 26, 2023: Due to a backlog of historic COVID-19 cases being reported this week, aggregate case and death counts in Charlotte County and Sarasota County, Florida, will appear higher than expected in the January 26, 2023 weekly release.

    January 26, 2023: Due to data processing delays, Mississippi’s aggregate case and death data will be reported as 0 in the weekly release posted on January 26, 2023.

    February 2, 2023: As of the data collection deadline, CDC observed an abnormally large increase in aggregate COVID-19 cases and deaths reported for Washington State. In response, totals for new cases and new deaths released on February 2, 2023, have been displayed as zero at the state level until the issue is addressed with state officials. CDC is working with state officials to address the issue.

    February 2, 2023: Due to a decrease reported in cumulative case counts by Wyoming, case rates will be reported as 0 in the February 2, 2023, weekly release. CDC is working with state officials to verify the data submitted.

    February 16, 2023: Due to data processing delays, Utah’s aggregate case and death data will be reported as 0 in the weekly release posted on February 16, 2023. As a result, case and death metrics will appear lower than expected and should be interpreted with caution.

    February 16, 2023: Due to a reporting cadence change, Maine’s

  7. COVID-19 Cases(IND- statewise)

    • kaggle.com
    zip
    Updated Aug 30, 2021
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    Umesh Kumar Adari (2021). COVID-19 Cases(IND- statewise) [Dataset]. https://www.kaggle.com/umeshkumar017/covid19-casesind-statewise
    Explore at:
    zip(288489 bytes)Available download formats
    Dataset updated
    Aug 30, 2021
    Authors
    Umesh Kumar Adari
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Contains state-wise data(India) of COVID-19 cases from 12-03-20 to 30-08-21 daily

    Content

    The information regarding the cumulative corona cases in India

    Acknowledgements

    https://prsindia.org/covid-19/cases

  8. Rate of U.S. COVID-19 cases as of March 10, 2023, by state

    • statista.com
    Updated Jun 15, 2020
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    Statista (2020). Rate of U.S. COVID-19 cases as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109004/coronavirus-covid19-cases-rate-us-americans-by-state/
    Explore at:
    Dataset updated
    Jun 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the state with the highest rate of COVID-19 cases was Rhode Island followed by Alaska. Around 103.9 million cases have been reported across the United States, with the states of California, Texas, and Florida reporting the highest numbers of infections.

    From an epidemic to a pandemic The World Health Organization declared the COVID-19 outbreak as a pandemic on March 11, 2020. The term pandemic refers to multiple outbreaks of an infectious illness threatening multiple parts of the world at the same time; when the transmission is this widespread, it can no longer be traced back to the country where it originated. The number of COVID-19 cases worldwide is roughly 683 million, and it has affected almost every country in the world.

    The symptoms and those who are most at risk Most people who contract the virus will suffer only mild symptoms, such as a cough, a cold, or a high temperature. However, in more severe cases, the infection can cause breathing difficulties and even pneumonia. Those at higher risk include older persons and people with pre-existing medical conditions, including diabetes, heart disease, and lung disease. Those aged 85 years and older have accounted for around 27 percent of all COVID deaths in the United States, although this age group makes up just two percent of the total population

  9. Correlation matrix of latent variables for the Utah County model.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Spencer G. Shumway; Jonas D. Hopper; Ethan R. Tolman; Daniel G. Ferguson; Gabriella Hubble; David Patterson; Jamie L. Jensen (2023). Correlation matrix of latent variables for the Utah County model. [Dataset]. http://doi.org/10.1371/journal.pone.0252185.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Spencer G. Shumway; Jonas D. Hopper; Ethan R. Tolman; Daniel G. Ferguson; Gabriella Hubble; David Patterson; Jamie L. Jensen
    License

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

    Area covered
    Utah County, Utah
    Description

    Correlation matrix of latent variables for the Utah County model.

  10. Coronavirus (COVID-19) dataset -India

    • kaggle.com
    zip
    Updated Apr 29, 2020
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    Balaaje (2020). Coronavirus (COVID-19) dataset -India [Dataset]. https://www.kaggle.com/balaaje/coronavirus-covid19-dataset-india
    Explore at:
    zip(1457 bytes)Available download formats
    Dataset updated
    Apr 29, 2020
    Authors
    Balaaje
    Area covered
    India
    Description

    Context

    1. The first case of the COVID-19 in India was reported on 30 January 2020, originating from China.
    2. The outbreak has been declared an epidemic in many states where, 3.Provisions of the Epidemic Diseases Act, 1897 have been invoked.

    < PM Modi announces 21-day nationwide lockdown >

    India imposed a three-week long nationwide lockdown for its 1.3 billion people, the most far-reaching measure undertaken by any government to curb the spread of the coronavirus pandemic. - Educational institutions and many commercial establishments have been shut down. - India has also suspended all tourist visas, as a majority of the confirmed cases were linked to other countries

    Content

    Each row contains data for each state with at least 1 confirmed case for each each Each column represent different type of cases

    Acknowledgements

    Data from coronaindia website-https://www.mohfw.gov.in/ Data collection methodology notebook on GitHub: https://github.com/balaaje/Corona-Virus-India

  11. Covid-19 in Indian States and UT with Time Series

    • kaggle.com
    zip
    Updated Jun 20, 2020
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    Saurabh Bade (2020). Covid-19 in Indian States and UT with Time Series [Dataset]. https://www.kaggle.com/saurabhbade/COVID-19-TimeSeries-India
    Explore at:
    zip(14153 bytes)Available download formats
    Dataset updated
    Jun 20, 2020
    Authors
    Saurabh Bade
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Area covered
    India
    Description

    Context

    Time series data of Indian State and UT for Covid19.

    Content

    Time Series Data for number of cases, deaths and cured cases in Indian States and UT.

    3 files COVID19_Cured_Indian_States_UT COVID19_Deaths_Indian_States_UT COVID19_TotalCases_Indian_States_UT

    Can be used for prediction.

    Acknowledgements

    Govt of India: https://www.mohfw.gov.in https://www.covid19india.org/

    Inspiration

    Data can be used to see the pattern and prediction so that we can stop the spread of COVID19.

  12. Provisional COVID-19 death counts and rates by month, jurisdiction of...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Sep 26, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics [Dataset]. https://catalog.data.gov/dataset/provisional-covid-19-death-counts-and-rates-by-month-jurisdiction-of-residence-and-demogra
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

  13. COVID-19 India Statewise Dataset

    • kaggle.com
    zip
    Updated Mar 24, 2020
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    Orion (2020). COVID-19 India Statewise Dataset [Dataset]. https://www.kaggle.com/orionconner/covid19-india-statewise-dataset
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    zip(1426 bytes)Available download formats
    Dataset updated
    Mar 24, 2020
    Authors
    Orion
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Context

    As COVID-19 is spreading worldwide I thought it would be better to make a dataset myself for cases related to this disease in India. The other reason why I made this dataset is, I have a lot's of free time due to lockdown in India so I thought of making a good use of this free time. 💪

    Content

    If you want to use this dataset for your project the format of the dataset is described here. In a nutsheel its a json file where date and time are used as keys and a 2d array as values.

    The format of the dataset is as follows: { DateTimeStamp: [ [SerialNumber, Region, IndianPatients, NonIndianPatients, Cured, Deaths] ] }

    Acknowledgements

    Ministry of Health and Family Welfare: https://www.mohfw.gov.in/ Python: https://www.python.org/ BeautifulSoup4: https://pypi.org/project/beautifulsoup4/

    Inspiration

    Want some inspiration for using this dataset? Here are some: - What are the future predictions? - What is the growth rate of cases in India? - What are mortality rate in each state of India? - Can be make some Info-graphics using this data?

  14. Counties from three US States in the Navajo Nation with percent Navajo...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Wilfred F. Denetclaw; Zara K. Otto; Samantha Christie; Estrella Allen; Maria Cruz; Kassandra A. Potter; Kala M. Mehta (2023). Counties from three US States in the Navajo Nation with percent Navajo population and COVID-19 case attributes. [Dataset]. http://doi.org/10.1371/journal.pone.0272089.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wilfred F. Denetclaw; Zara K. Otto; Samantha Christie; Estrella Allen; Maria Cruz; Kassandra A. Potter; Kala M. Mehta
    License

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

    Area covered
    Navajo Nation, United States
    Description

    Counties from three US States in the Navajo Nation with percent Navajo population and COVID-19 case attributes.

  15. Adjusted relative risk describing SARS-CoV-2 transmission among household...

    • plos.figshare.com
    xls
    Updated Jan 9, 2025
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    Julia M. Baker; Jasmine Y. Nakayama; Michelle O’Hegarty; Andrea McGowan; Richard A. Teran; Stephen M. Bart; Lynn E. Sosa; Jessica Brockmeyer; Kayla English; Katie Mosack; Sanjib Bhattacharyya; Manjeet Khubbar; Nicole R. Yerkes; Brooke Campos; Alina Paegle; John McGee; Robert Herrera; Marcia Pearlowitz; Thelonious W. Williams; Hannah L. Kirking; Jacqueline E. Tate (2025). Adjusted relative risk describing SARS-CoV-2 transmission among household contacts controlling for SARS-CoV-2 variant, index case characteristics and household contact characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0313680.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Julia M. Baker; Jasmine Y. Nakayama; Michelle O’Hegarty; Andrea McGowan; Richard A. Teran; Stephen M. Bart; Lynn E. Sosa; Jessica Brockmeyer; Kayla English; Katie Mosack; Sanjib Bhattacharyya; Manjeet Khubbar; Nicole R. Yerkes; Brooke Campos; Alina Paegle; John McGee; Robert Herrera; Marcia Pearlowitz; Thelonious W. Williams; Hannah L. Kirking; Jacqueline E. Tate
    License

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

    Description

    Adjusted relative risk describing SARS-CoV-2 transmission among household contacts controlling for SARS-CoV-2 variant, index case characteristics and household contact characteristics.

  16. Demographic and clinical characteristics of index cases and household...

    • plos.figshare.com
    xls
    Updated Jan 9, 2025
    Share
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    Julia M. Baker; Jasmine Y. Nakayama; Michelle O’Hegarty; Andrea McGowan; Richard A. Teran; Stephen M. Bart; Lynn E. Sosa; Jessica Brockmeyer; Kayla English; Katie Mosack; Sanjib Bhattacharyya; Manjeet Khubbar; Nicole R. Yerkes; Brooke Campos; Alina Paegle; John McGee; Robert Herrera; Marcia Pearlowitz; Thelonious W. Williams; Hannah L. Kirking; Jacqueline E. Tate (2025). Demographic and clinical characteristics of index cases and household contacts. [Dataset]. http://doi.org/10.1371/journal.pone.0313680.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Julia M. Baker; Jasmine Y. Nakayama; Michelle O’Hegarty; Andrea McGowan; Richard A. Teran; Stephen M. Bart; Lynn E. Sosa; Jessica Brockmeyer; Kayla English; Katie Mosack; Sanjib Bhattacharyya; Manjeet Khubbar; Nicole R. Yerkes; Brooke Campos; Alina Paegle; John McGee; Robert Herrera; Marcia Pearlowitz; Thelonious W. Williams; Hannah L. Kirking; Jacqueline E. Tate
    License

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

    Description

    Demographic and clinical characteristics of index cases and household contacts.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Center for Disease Control and Prevention (2022). Utah Coronavirus Cases (DISCONTINUED) [Dataset]. https://ycharts.com/indicators/utah_coronavirus_cases

Utah Coronavirus Cases (DISCONTINUED)

Explore at:
htmlAvailable download formats
Dataset updated
Oct 19, 2022
Dataset provided by
YCharts
Authors
Center for Disease Control and Prevention
License

https://www.ycharts.com/termshttps://www.ycharts.com/terms

Time period covered
Jan 22, 2020 - Oct 18, 2022
Area covered
Utah
Variables measured
Utah Coronavirus Cases (DISCONTINUED)
Description

View daily updates and historical trends for Utah Coronavirus Cases (DISCONTINUED). Source: Center for Disease Control and Prevention. Track economic data…

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