Detailed Description:ID: Unique index number for each data entry.state_fips: State FIPS (Federal Information Processing Standards) Code.state_name: State name.zip_code: ZIP code.cases: Number of cumulative cases of COVID-19 reported in the ZIP code.deaths: Number of cumulative deaths due to COVID-19 reported in the ZIP code.recovered: Number of cumulative recovered cases of COVID-19 reported in the ZIP code.date: Date of case report.total_popu: Number of population in the reported ZIP code.case_rate: Reported cases rate according to ZIP code (cases per population).death_rate: Reported death rate according to ZIP code (deaths per population).active_cas: Number of active cases reported by ZIP code.active_rate: Reported active case rate according to ZIP code (active cases per population).This dataset provides valuable insights and can be utilized in various ways:Localized Analysis: Researchers can analyze COVID-19 trends at the zip code level to identify hotspots, monitor transmission patterns, and assess the impact of interventions in specific communities.Resource Allocation: Healthcare providers and policymakers can use this data to allocate resources such as testing kits, medical supplies, and healthcare personnel based on the severity of the outbreak in different ZIP codes.Targeted Interventions: Public health officials can implement targeted interventions, such as localized lockdowns, contact tracing, and vaccination campaigns, to control transmission and mitigate the spread of the virus in highly affected areas.Community Engagement: By making this data accessible to the public, it facilitates community engagement, encourages adherence to preventive measures, and fosters collaboration between residents, local authorities, and healthcare organizations to combat COVID-19 effectively.
This dataset utilized Centers for Disease Control and Prevention (CDC) data and Oklahoma Department of Health data regarding CDC cases in the State of Oklahoma and within Tulsa County to create monthly aggregations and averages of COVID-19 infections in the state and Tulsa County. Average and summation figures were aggregated month-to-month and combined with University of Tulsa McFarlin Library data to determine patterns between county or state COVID-19 cases and McFarlin Library usage statistics for 2020 and 2021. The resulting file is in an Excel format.
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United States COVID-19: Confirmed Cases: New: Oklahoma data was reported at 952.000 Person in 04 May 2023. This records an increase from the previous number of 0.000 Person for 03 May 2023. United States COVID-19: Confirmed Cases: New: Oklahoma data is updated daily, averaging 142.000 Person from Mar 2020 (Median) to 04 May 2023, with 1155 observations. The data reached an all-time high of 27,754.000 Person in 17 Jan 2022 and a record low of 0.000 Person in 03 May 2023. United States COVID-19: Confirmed Cases: New: Oklahoma data remains active status in CEIC and is reported by Oklahoma State 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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COVID-19: Confirmed Cases: To Date: Oklahoma data was reported at 1,306,350.000 Person in 04 May 2023. This records an increase from the previous number of 1,305,398.000 Person for 03 May 2023. COVID-19: Confirmed Cases: To Date: Oklahoma data is updated daily, averaging 619,056.000 Person from Mar 2020 (Median) to 04 May 2023, with 1155 observations. The data reached an all-time high of 1,306,350.000 Person in 04 May 2023 and a record low of 1.000 Person in 09 Mar 2020. COVID-19: Confirmed Cases: To Date: Oklahoma data remains active status in CEIC and is reported by Oklahoma State 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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Daily COVID-19 case rates within Oklahoma municipalities that adopted mask mandates
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United States Excess Deaths excl COVID: Predicted: No. of Deaths: Oklahoma data was reported at 641.000 Number in 16 Sep 2023. This records a decrease from the previous number of 757.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: No. of Deaths: Oklahoma data is updated weekly, averaging 773.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 992.000 Number in 17 Feb 2018 and a record low of 641.000 Number in 16 Sep 2023. United States Excess Deaths excl COVID: Predicted: No. of Deaths: Oklahoma 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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United States Excess Deaths excl COVID: Predicted: Upper Bound: Oklahoma data was reported at 817.000 Number in 16 Sep 2023. This records a decrease from the previous number of 818.000 Number for 09 Sep 2023. United States Excess Deaths excl COVID: Predicted: Upper Bound: Oklahoma data is updated weekly, averaging 818.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 912.000 Number in 11 Feb 2023 and a record low of 760.000 Number in 07 Jul 2018. United States Excess Deaths excl COVID: Predicted: Upper Bound: Oklahoma 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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United States SB: OK: COVID Test/Vaccine: Negative COVID Test: N/A data was reported at 7.300 % in 11 Apr 2022. This records an increase from the previous number of 6.900 % for 04 Apr 2022. United States SB: OK: COVID Test/Vaccine: Negative COVID Test: N/A data is updated weekly, averaging 10.550 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 15.100 % in 22 Nov 2021 and a record low of 5.700 % in 27 Dec 2021. United States SB: OK: COVID Test/Vaccine: Negative COVID Test: N/A data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).
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United States SB: OK: COVID-19 Impact: Little or Number Effect data was reported at 25.200 % in 11 Apr 2022. This records a decrease from the previous number of 28.500 % for 04 Apr 2022. United States SB: OK: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 28.700 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 34.500 % in 28 Mar 2022 and a record low of 21.600 % in 14 Mar 2022. United States SB: OK: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).
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United States SB: OK: COVID-19 Impact: Moderate Negative Effect data was reported at 43.700 % in 11 Apr 2022. This records an increase from the previous number of 39.300 % for 04 Apr 2022. United States SB: OK: COVID-19 Impact: Moderate Negative Effect data is updated weekly, averaging 44.150 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 47.100 % in 10 Jan 2022 and a record low of 39.300 % in 04 Apr 2022. United States SB: OK: COVID-19 Impact: Moderate Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).
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Detailed Description:ID: Unique index number for each data entry.state_fips: State FIPS (Federal Information Processing Standards) Code.state_name: State name.zip_code: ZIP code.cases: Number of cumulative cases of COVID-19 reported in the ZIP code.deaths: Number of cumulative deaths due to COVID-19 reported in the ZIP code.recovered: Number of cumulative recovered cases of COVID-19 reported in the ZIP code.date: Date of case report.total_popu: Number of population in the reported ZIP code.case_rate: Reported cases rate according to ZIP code (cases per population).death_rate: Reported death rate according to ZIP code (deaths per population).active_cas: Number of active cases reported by ZIP code.active_rate: Reported active case rate according to ZIP code (active cases per population).This dataset provides valuable insights and can be utilized in various ways:Localized Analysis: Researchers can analyze COVID-19 trends at the zip code level to identify hotspots, monitor transmission patterns, and assess the impact of interventions in specific communities.Resource Allocation: Healthcare providers and policymakers can use this data to allocate resources such as testing kits, medical supplies, and healthcare personnel based on the severity of the outbreak in different ZIP codes.Targeted Interventions: Public health officials can implement targeted interventions, such as localized lockdowns, contact tracing, and vaccination campaigns, to control transmission and mitigate the spread of the virus in highly affected areas.Community Engagement: By making this data accessible to the public, it facilitates community engagement, encourages adherence to preventive measures, and fosters collaboration between residents, local authorities, and healthcare organizations to combat COVID-19 effectively.