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TwitterAfter 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:
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TwitterOhio COVID 19 Data
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"
The State of Ohio
Suggested ideas are visualizing data, looking for trends, joining with other data like weather, etc.
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TwitterDuring the week ending July 11, 2021, **** percent of surveyed small businesses in Ohio said in an online survey that they had no change in their number of paid employees due to the COVID-19 pandemic. However, **** percent of small businesses reported aa decrease in paid employment during the same week.
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COVID-19 cases, hospitalizations and deaths in Ohio by selected demographics and county of residence, as reported to the Ohio Department of Health (ODH). The data can be viewed on a dashboard and are also available in CSV format containing the daily new number of cases and date of onset, new death and date of death, and new hospitalization and date of admission by county, sex and age-range.
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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
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TwitterOhio COVID 19 Data by School District.
From the website: *"This data reflects new and cumulative COVID-19 cases reported to schools by parents/guardians and staff. Schools are required to report cases to their assigned Local Health Department who then report to the Ohio Department of Health. A report of COVID-19 should not be interpreted as an indicator that a school district or school isn’t following proper procedures—school cases can be a reflection of the overall situation in the broader community. Families and staff should always feel free to ask questions of the school district or school.
For more details on schools and the education sector, please see Sector Specific Operating Requirements: https://coronavirus.ohio.gov/wps/portal/gov/covid-19/responsible-restart-ohio/sector-specific-operating-requirements/sector-specific-operating-requirements
School reporting templates, a list of school districts and their corresponding local health departments, and more can be found on the Education and Sector Specific Guidance page under “Schools”: https://coronavirus.ohio.gov/wps/portal/gov/covid-19/responsible-restart-ohio/sector-specific-operating-requirements/sector-specific-operating-requirements
For more details, please see: https://coronavirus.ohio.gov/wps/portal/gov/covid19/dashboards/Schools-and-Children/schools"*
The start of Ohio
Visualize on a map (after joining with school district by location), look for trends, etc
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TwitterThis dataset tracks the updates made on the dataset "COVID-19 State Profile Report - Ohio" as a repository for previous versions of the data and metadata.
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TwitterFor additional situational awareness products, visit the Ohio EMA Watch Office ESF-5 Resource Portal or email us at emawatch@dps.ohio.gov.
Powered by Ohio Sentry | A Situational Awareness System Developed by the Ohio EMA Watch Office
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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).
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TwitterMap showing past 4 weeks of COVID-19 cases in Franklin County Public Health jurisdiction by zip code. Furthermore, this maps also shows cumulative counts, but those data have been discontinued to get a better picture of the current case load. These data are from the start of the pandemic. Data are subject to change as additional information is gathered during case investigations. Zip codes with less than 10 cases are excluded for confidentiality purposes.
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TwitterWe spoke to Clevelanders about the difficulties caused by the pandemic and solutions that show promise for times of crisis and times of relative stability. Explore the story for insights from a tenant who was furloughed, a landlord with a small number of properties, a Housing Court judge, and a Legal Aid attorney.
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United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Ohio data was reported at 2,439.000 Number in 16 Sep 2023. This records an increase from the previous number of 2,433.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Ohio data is updated weekly, averaging 2,424.500 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 2,656.000 Number in 04 Feb 2023 and a record low of 2,170.000 Number in 15 Jul 2017. United States Excess Deaths excl COVID: Predicted: Avg No. of Deaths: Ohio data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).
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Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.
Weekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate >99% concordance by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.
This archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.
This archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week's data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (: Weekly COVID-19 County Level of Community Transmission Historical Changes) if historically updated data are desired.
Related data CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (Weekly Originally Posted dataset), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (Weekly Historical Changes dataset).
Methods for calculating county level of community transmission indicator The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and here). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.
CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2 Total New Case Rate Metric: "New cases per 100,000 persons in the past 7 days" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. "New cases per 100,000 persons in the past 7 days" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).
Test Percent Positivity Metric: "Percentage of positive NAAT in the past 7 days" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. "Percentage of positive NAAT in the past 7 days" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).
If the two metrics suggest different transmission levels, the higher level is selected.
The reported transmission categories include:
Low Transmission Threshold: Counties with fewer than 10 total cases per 100,000 population in the past 7 days, and a NAAT percent test positivity in the past 7 days below 5%;
Moderate Transmission Threshold: Counties with 10-49 total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 5.0-7.99%;
Substantial Transmission Threshold: Counties with 50-99 total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 8.0-9.99%;
High Transmission Threshold: Counties with 100 or more total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 10.0% or greater.
Blank: total new cases in the past 7 days are not reported (county data known to be unavailable) and the percentage of positive NAATs tests during the past 7 days (blank) are not reported.
The data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.
This dataset is created using CDC’s Policy on Public Health Research and Nonresearch Data Management and Access.
Archived data CDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets were updated daily. The archived datasets can be found here:
Archived Originally Posted dataset
Archived Historical Changes dataset
Archived Data Notes:
October 20, 2022: Due to the Mississippi case data dashboard not being updated this week, case rates for all Mississippi counties are reported as 0 in the COVID-19 Community Transmission Level data released on October 20, 2022. This could lead to the COVID-19 Community Transmission Levels metrics for Mississippi counties being underestimated; therefore, they should be interpreted with caution.
October 20, 2022: Due to a data reporting error, the case rate for Philadelphia County, Pennsylvania is lower than expected in the COVID-19 Community Transmission Level data released on October 20, 2022. This could lead to the COVID-19 Community Transmission Level for Philadelphia County being underestimated; therefore, it should be interpreted with caution.
October 28, 2022: Due to a data processing error, case rates for Kentucky appear higher than expected in the weekly release on October 28, 2022. Therefore, the COVID-19 Community Transmission Levels metrics for Kentucky counties may be overestimated and should be interpreted with caution.
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 COVID-19 Community Transmission Level data released on November 3, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Missouri counties being overestimated; therefore, they should be interpreted with caution.
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 COVID-19 Community Transmission Level data released on November 10, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Alabama counties being overestimated; therefore, they should be interpreted with caution.
November 10, 2022: Per the request of the jurisdiction, cases among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases.
November 10, 2022: Due to a reporting cadence issue, case rates for all Mississippi counties are reported as 0 in the COVID-19 Community Transmission data released on November 10, 2022. This could lead to the COVID-19 Community Transmission Levels metrics for Mississippi counties being underestimated; therefore, they should be interpreted with caution.
November 10, 2022: In the COVID-19 Community Transmission Level data released on November 10, 2022, multiple municipalities in Puerto Rico are reporting higher than expected increases in case counts. CDC is working with territory officials to verify the data submitted.
November 25, 2022: Due to a reporting cadence change for the Thanksgiving holiday, case rates for all Ohio counties are calculated based on 13 days' worth of case counts in the COVID-19 Community Transmission Level data released on November 25, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for all Ohio counties being overestimated; therefore, they should be interpreted with caution.
November 25, 2022: Due to the Thanksgiving holiday, CDC did not receive updated case data from the following jurisdictions: Rhode Island and Mississippi. As a result, case rates for all counties within these jurisdictions are reported as 0 in the COVID-19 Community Transmission Level Data
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This Project Tycho dataset includes a CSV file with COVID-19 data reported in UNITED STATES OF AMERICA: 2019-12-30 - 2021-07-31. It contains counts of cases, deaths, hospitalizations, and demographics. Data for this Project Tycho dataset comes from: "Alabama Department of Public Health Website Dashboard", "Arkansas Department of Health COVID-19 Website Dashboard", "California Health and Human Services Open Data Portal, California Department of Public Health COVID-19 Data", "Colorado Department of Public Health and Environment Open Data Website", "Connecticut Open Data Website, Department of Public Health COVID-19 Data", "Delaware Environmental Public Health Tracking Network, Delaware Health and Social Services Website", "Georgia Department of Public Health Website", "Illinois Department of Public Health Website", "Indiana Data Hub Website, Indiana State Department of Health COVID-19 Data", "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "Kentucky Department of Public Health COVID-19 Website Dashboard", "Maine Center for Disease Control & Prevention; Division of the Maine Department of Health and Human Services Website", "Maryland Department of Health COVID-19 Website Dashboard", "Minnesota Department of Health COVID-19 Website Dashboard", "Montana Department of Health & Human Services COVID-19 Website Dashboard", "New York State Department of Health Data Website", "COVID-19 Data Repository by The New York Times", "Ohio Department of Health COVID-19 website", "Pennsylvania Department of Health Data Website", "Tennessee Department of Health Website", "Texas Department of Health Services Website", "United States Centers for Disease Control and Prevention, COVID-19 Response", "Vermont Department of Health, Vermont Center for Geographic Information Open Geodata Portal", "Virginia Department of Health Website", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.
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Up-to-date information and pre-trained embeddings can be found here.
In order to support NLP research efforts related to COVID-19, we have developed resources for training vector-valued embeddings of COVID-19 related medical concepts, primarily using the CORD-19 dataset.
This resource includes only concept embeddings. Download of the full sets of concept, term, and word embeddings from here requires a valid UMLS Terminology Services account, in order to validate licensed access to SNOMED-CT.
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United States Excess Death excl COVID: Predicted: Single Excess Est: Ohio data was reported at 0.000 Number in 16 Sep 2023. This records a decrease from the previous number of 86.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Ohio data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 554.000 Number in 13 Jan 2018 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Ohio data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).
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Cancer prevention behavior changes post the COVID-19 pandemic by socioeconomic status (n = 6,136).
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TwitterSupporting 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.
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Food insecurity and inadequate nutrition are two major challenges that contribute to poor health conditions among U.S. households. Ohioans continue to face food insecurity, and rates of food insecurity in rural Southeast Ohio are higher than the state average. The main purpose of this project is to evaluate the associations between Supplemental Nutrition Assistance Program (SNAP) participation and food security in rural Ohio, and to explore the association between SNAP participation and fruit/vegetable consumption. We control for food shopping patterns, such as shopping frequency, because previous research reports a significant relationship between shopping patterns and food security. To achieve our purpose, we use novel household-level data on food insecurity and SNAP participation in rural Southeast Ohio, collected during the COVID-19 pandemic. We find that people who experience higher levels of food insecurity than others are more likely to participate in SNAP, though this is likely a function of selection bias. To correct for the bias, we employ the nearest neighbor matching method to match treated (SNAP participant) and untreated (similar SNAP nonparticipant) groups. We find that participating in SNAP increases the probability of being food secure by around 26 percentage points after controlling for primary food shopping patterns. We do not find any significant association between SNAP participation and estimated intake of fruits and vegetables. This study provides policymakers with suggestive evidence that SNAP is associated with food security in rural Southeast Ohio during the pandemic, and what additional factors may mediate these relationships.
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TwitterAs of October 2023, the state with the highest number of COVID-19 related breach of contract lawsuits was New York, where ** were recorded. The states of California and Ohio were next in the list, where ***** COVID-19 related breach of contract lawsuits were recorded in each state respectively.
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TwitterAfter 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: