Updates

• Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

  • CDC Weekly case and death counts (national and state level)
  • CDC County level cases and deaths
  • HHS New hospital admissions
  • CDC NowCast COVID variant proportions (national and regional level)

• 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.

• September 1st, 2020

  • Johns Hopkins is now providing counts for the five New York City counties individually.

• February 12, 2021

  • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
  • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.

• February 16, 2021

  - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

  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

The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

@(https://datawrapper.dwcdn.net/nRyaf/15/)

Interactive Embed Code

<iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>

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 -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

Attribution

This data should be credited to Johns Hopkins University COVID-19 tracking project

View daily updates and historical trends for Ohio Coronavirus Deaths Per Day (DISCONTINUED). Source: Center for Disease Control and Prevention. Track econ…

The COVID-19 diagnostic testing data, including total daily tests performed and daily percentage of positive tests, as reported to the Ohio Department of Health (ODH). This data includes laboratory testing from hospitals, private labs and the ODH lab.

source: https://data.ohio.gov/wps/portal/gov/data/view/covid-nineteen-key-metrics-on-testing

Context

Ohio COVID 19 Data

Content

From the website: "The COVID-19 Cases by ZIP Code Dashboard displays the most recent preliminary data reported to the Ohio Department of Health (ODH) about cases and case rates per 100,000 population by ZIP Code of residence. ODH is making COVID-19 data available for public review while also protecting patient privacy. This dashboard will be updated daily. Please see footnotes below for more details.

For more information, visit: https://coronavirus.ohio.gov/static/dashboards/COVIDSummaryDataZIP.csv"

Acknowledgements

The State of Ohio

Inspiration

Suggested ideas are visualizing data, looking for trends, joining with other data like weather, etc.

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

After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.

It is a weekly snapshot in time that:

• Focuses on recent outcomes in the last seven days and changes relative to the month prior
• Provides additional contextual information at the county level for each state, and includes national level information
• Supports rapid visual interpretation of results with color thresholds

United States COVID-19: No. of Deaths: To Date: Ohio data was reported at 43,991.000 Person in 10 Jun 2024. This stayed constant from the previous number of 43,991.000 Person for 09 Jun 2024. United States COVID-19: No. of Deaths: To Date: Ohio data is updated daily, averaging 38,042.000 Person from Jan 2020 (Median) to 10 Jun 2024, with 1602 observations. The data reached an all-time high of 43,991.000 Person in 10 Jun 2024 and a record low of 0.000 Person in 19 Mar 2020. United States COVID-19: No. of Deaths: To Date: Ohio data remains active status in CEIC and is reported by Ohio Department of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Center for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019).

COVID-19 Daily Response Reports. Reports include updates on changes to city services and department staffing, special event scheduling changes, as well as local, state, and federal policy changes.

Response reports are produced and circulated every Friday. This data set will update with the previous weeks report on Mondays during the COVID-19 response period.

The data for the sections personnel and non-personnel spending from the time period 5/11 - 11/13 are incorrect due to a error in calculation. This issue was resolved in all reports posted after 11/20. Please contact cincystat@cincinnati-oh.gov with any questions regarding the financial data.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Excel spread sheet of the 9550 blood donors that were evaluated in this study broken into columns that shows the date of visit to the blood collection center, the State, the geographic region as east (E), west (W) or Kentucky (KY), the blood type, the age, gender, race and raw S protein ELISA OD value. (XLSX)

This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Data includes:

• date
• OH region
• current hospitalizations with COVID-19
• current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness
• current patients in Intensive Care Units (ICUs) testing positive for COVID
• current patients in Intensive Care Units (ICUs) no longer testing positive for COVID
• current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness
• current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID
• current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID

**Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool **

Additional notes

Data for the period of October 24, 2023 to March 24, 2024 excludes hospitals in the West region who were experiencing data availability issues.

Daily adult, pediatric, and neonatal patient ICU census data were impacted by technical issues between September 9 and October 20, 2023. As a result, when public reporting resumes on November 16, 2023, historical ICU data for this time period will be excluded.

As of August 3, 2023, the data in this file has been updated to reflect that there are now six Ontario Health (OH) regions.

This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations.

Supporting Whole-Child Nutrition
During the ordered school-building closure period, schools may continue to receive reimbursement for meals served by participating in the Seamless Summer Option (SSO) or the Summer Food Service Program (SFSP). Schools may operate as open, restricted open or targeted outreach sites. Refer to the map and map site key for available meal service in your area. Contact your school or district for details about their meal programs.

Open – all children ages 1-18 may receive a meals at these sites.

Restricted Open – children ages 1-18 may receive meals at these sites. The daily number of meals served at this location is capped (due to capacity constraints like using a vendor for meals).

Targeted Outreach – These sites are doing targeted outreach of meals. Households may contact the school or district for more information about meal service at these sites.

Ohio School Meal Distribution Sites - Updated 3/26/2020

School Nutrition Programs and Emergency Feeding One of Ohio’s highest priorities during the ordered school-building closure period, which seeks to diminish the spread of the coronavirus (COVID-19), is to ensure that students receive nutritious meals. This is fundamental to supporting the whole child. During the ordered school-building closure, all closed schools may continue to receive reimbursement for meals served during the closure under either the Seamless Summer Option (SSO) or the Summer Food Service Program (SFSP).

Schools opting to serve meals during the ordered school-building closure period must complete and submit this Feeding Children During Coronavirus (COVID-19) Related Unanticipated School Closures Application. Upon submission, an Education Program Specialist will contact you within one business day to complete and approve the application in the Claims Reimbursement and Reporting System (CRRS). The Emergency Feeding Application Process for Schools and Sponsors provides information for schools during this closure including the application process, non-congregate feeding options available and other considerations.

Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Number Risk data was reported at 58.000 % in 11 Aug 2021. This records a decrease from the previous number of 61.000 % for 09 Jun 2021. Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Number Risk data is updated daily, averaging 61.000 % from May 2020 (Median) to 11 Aug 2021, with 17 observations. The data reached an all-time high of 79.000 % in 23 Sep 2020 and a record low of 43.000 % in 13 May 2020. Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Number Risk data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S009: Business Survey: COVID-19 Effect: Seizing Operations (Discontinued).

Rates of S protein antibody positivity by ELISA from the indicated donor age ranges or by gender.

Mean S and RBD raw ELISA OD values for setting the assay baseline and the resulting 802 positive samples separated by assay reactivity.

Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Small Risk data was reported at 27.000 % in 11 Aug 2021. This records a decrease from the previous number of 29.000 % for 09 Jun 2021. Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Small Risk data is updated daily, averaging 29.000 % from May 2020 (Median) to 11 Aug 2021, with 17 observations. The data reached an all-time high of 39.000 % in 13 May 2020 and a record low of 14.000 % in 23 Sep 2020. Sweden Business Survey: COVID-19 Effect: SO: Trade: OH: Small Risk data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S009: Business Survey: COVID-19 Effect: Seizing Operations (Discontinued).

Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 1 to 10 Percent data was reported at 40.000 % in 11 Aug 2021. This records an increase from the previous number of 19.000 % for 09 Jun 2021. Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 1 to 10 Percent data is updated daily, averaging 4.000 % from May 2020 (Median) to 11 Aug 2021, with 19 observations. The data reached an all-time high of 40.000 % in 11 Aug 2021 and a record low of 0.000 % in 10 Jun 2020. Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 1 to 10 Percent data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S008: Business Survey: COVID-19 Effect: Turnover (Discontinued).

Rate of S protein ELISA positivity clustered by regions within the GCMA.

Assessment of raw S protein OD values in donors with 2 or more donations analyzed over 2 time periods from August 13th to December 8th of 2020.

Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 31 Percent and Above data was reported at 0.000 % in 11 Aug 2021. This stayed constant from the previous number of 0.000 % for 09 Jun 2021. Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 31 Percent and Above data is updated daily, averaging 0.000 % from May 2020 (Median) to 11 Aug 2021, with 19 observations. The data reached an all-time high of 7.000 % in 10 Mar 2021 and a record low of 0.000 % in 11 Aug 2021. Sweden Business Survey: COVID-19 Effect: Turnover: Trade: OH: Increased: 31 Percent and Above data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.S008: Business Survey: COVID-19 Effect: Turnover (Discontinued).

Baseline characteristics of 48 344 employees of cleveland clinic in Ohio.