This dataset contains counts of COVID-19 cases and deaths in North Carolina from March 2, 2020 to May 31, 2021. The data was extracted from NC Department of Health and Human Services' NC COVID-19 dashboard: Daily Cases and Deaths Metrics. This dataset is an archive - it is not being updated. Data Source: NCDHHS (2021). Daily Cases and Deaths Metrics (Version 1.3) [Data set]. https://covid19.ncdhhs.gov/dashboard/data-behind-dashboards

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

Data from the state on statistics & counts of COVID-19 data by zipcode. This data is updated and maintained by the North Carolina GIS Department. It is typically updated manually once a day. Any questions please call the Onslow County GIS Department at 1-910-937-1190, Monday - Friday 8am - 5pm.

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.).

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.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Context

Cumulative incidences and transmissibility indicators

The results presented in this COVID-19 Panel are obtained from the declaration of COVID-19 cases to the National Epidemiological Surveillance Network (RENAVE) through the SiViES (Surveillance System of Spain) computer platform via the Web. ) managed by the National Epidemiology Center (CNE). This information comes from the epidemiological case survey that each Autonomous Community carries out when a COVID-19 case is identified.

The COVID-19 Panel presents geographic information on cumulative incidence rates at 14 days and 7 days, for the general population and for those 65+ years of age, and indicators of the evolution of the pandemic's transmissibility. For the calculation of all the parameters, the date of onset of symptoms is used or, failing that, the date of diagnosis minus 6 days (from the start of the pandemic until May 10, 2020) or minus 3 days (from of May 11); for asymptomatic cases, the date of diagnosis is used. In those cases in which there is no date of onset of symptoms or diagnosis, the key date is used (date for statistics [It was lost to the autonomous communities to define the Key date as the date of onset of symptoms and in its absence the date of declaration to the AC, until May 10, 2020. From May 11 onwards, the Key date is the earliest of the dates of consultation or diagnosis. Occasionally it can be replaced by the date of sampling] ). Until May 10, 2020, cases diagnosed by a positive diagnostic test for active infection are included, as well as all those cases hospitalized, admitted to the ICU and deaths; As of May 11, cases confirmed by PCR, or by emergency tests, are included. The population used to calculate the incidence rates comes from the official population figures resulting from the revision of the municipal census as of January 1 of the National Institute of Statistics of 2020.

A regular update of the COVID-19 situation in Spain is carried out, after an extraction from the SiViES database from 3:00 p.m. to 4:00 p.m.

All of the data in this dataset has been sourced from https://cnecovid.isciii.es/covid19/ Should you choose to use said dataset, please cite the National Epidemiological Surveillance Network (RENAVE) and the SiViES (Surveillance System of Spain)

Data

casos_diag_ccaadecl.csv: Number of cases by diagnostic technique and Autonomous Communities (declaration) - ccaa_iso: Autonomous Communities ISO code of declaration - fecha:The date of the diagnosis. In cases prior to May 11, the date of diagnosis is used, in his absence the date of declaration to the community and, in his absence, the key date (date used for statistics by the Autonomous Communities). In the cases after May 10, in the absence of a diagnosis date, the key date - num_casos:Number of reported cases confirmed with a diagnostic test positive for active infection (PDIA) as established in the Strategy for early detection, surveillance and control of COVID-19 and also cases notified before May 11 that required hospitalization, admission in the ICU or died with a clinical diagnosis of COVID-19, according to the case definitions in force at any given time. - num_casos_prueba_pcr: Number of cases with PCR laboratory test or molecular techniques - num_casos_prueba_test_ac: Number of cases with laboratory rapid antibody test - num_casos_prueba_ag: Number of cases with laboratory antigen detection test - num_casos_prueba_elisa: Number of cases with high resolution serology laboratory test (ELISA/ECLIA/CLIA) - num_casos_prueba_desconocida: Number of cases without information on the laboratory test

casos_hosp_uci_def_sexo_edad_provres.csv: Number of cases, hospitalizations, ICU admissions and deaths by sex, age and province of residence - provincia_iso: ISO code of the province of residence. NC (not stated) - sexo: Sex of the cases: H (man), M (woman), NC (not stated) - grupo_edad: Age group to which the case belongs: 0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, ≥80 years. NC: not stated. - fecha: Date of registry. Cases: In cases prior to May 11, the date of diagnosis is used, in its absence the date of declaration to the community and, in its absence, the key date (date used for statistics by the CCAA). In cases after May 10, in the absence of diagnosis date the key3 date is used. Hospitalizations, ICU admissions, deaths: hospitalized cases are represented by date of hospitalization (if not, the date of diagnosis, and in failing that, the key date, the ICU cases by date of admission to the ICU (failing that, the date of diagnosis, and failing that, the key date) and deaths by date of death (if not, the date of diagnosis, and if not, the key date.). - num_casos: Number of confirmed reported cases with a positive diagnostic test for active infection (PDIA) as established in the Early Detection Strategy,...

The COVID-19 is highly heterogeneous, ranging from cases with mild disease with an almost asymptomatic carrier to severe cases in which the disease evolves rapidly. A better understanding of monocyte response during SARS-Cov-2 infection would highlight potential biomarkers and establish other possible approaches for severe cases. Here, the promising finding was that blood NC/CL subset was skewed toward NChighCLlow and NClowCLhigh clusters among the severe COVID-19 patients. The NChighCLlow cluster in severe COVID-19 displayed a distinct clinic phenotype, implying a higher 7-day disease progression rate (P=0.019) and a worse 28-day survival (P=0.026). As supported, regarding cytokine profile in context of SARS-Cov-2 infection, it was identified that circulating NC cells are proinflammatory cells most related to regulatory cells, while CL subset displayed an effective capacity to virus. These findings have implications towards optimizing evaluation in severe COVID-19, and developing strategies that target altered balance of NC/CL cell subsets.

COVID-2019: Number of Cases: To Date: NC: Republic of Northern Osetia Alania data was reported at 47,139.000 Person in 31 Oct 2023. This records an increase from the previous number of 47,117.000 Person for 24 Oct 2023. COVID-2019: Number of Cases: To Date: NC: Republic of Northern Osetia Alania data is updated daily, averaging 27,432.500 Person from Apr 2020 (Median) to 31 Oct 2023, with 1136 observations. The data reached an all-time high of 47,139.000 Person in 31 Oct 2023 and a record low of 9.000 Person in 08 Apr 2020. COVID-2019: Number of Cases: To Date: NC: Republic of Northern Osetia Alania data remains active status in CEIC and is reported by Ministry of Health of the Russian Federation. The data is categorized under High Frequency Database’s Disease Outbreaks – Table RU.GF001: Disease Outbreaks: COVID-19.

COVID-2019: Number of Cases: To Date: NC: Republic of Ingushetia data was reported at 43,715.000 Person in 31 Oct 2023. This records an increase from the previous number of 43,713.000 Person for 24 Oct 2023. COVID-2019: Number of Cases: To Date: NC: Republic of Ingushetia data is updated daily, averaging 25,355.500 Person from Apr 2020 (Median) to 31 Oct 2023, with 1132 observations. The data reached an all-time high of 43,715.000 Person in 31 Oct 2023 and a record low of 7.000 Person in 08 Apr 2020. COVID-2019: Number of Cases: To Date: NC: Republic of Ingushetia data remains active status in CEIC and is reported by Ministry of Health of the Russian Federation. The data is categorized under High Frequency Database’s Disease Outbreaks – Table RU.GF001: Disease Outbreaks: COVID-19.

COVID-2019: Number of Cases: To Date: NC: Republic of Dagestan data was reported at 104,340.000 Person in 31 Oct 2023. This records an increase from the previous number of 104,294.000 Person for 24 Oct 2023. COVID-2019: Number of Cases: To Date: NC: Republic of Dagestan data is updated daily, averaging 58,818.000 Person from Apr 2020 (Median) to 31 Oct 2023, with 1139 observations. The data reached an all-time high of 104,340.000 Person in 31 Oct 2023 and a record low of 30.000 Person in 07 Apr 2020. COVID-2019: Number of Cases: To Date: NC: Republic of Dagestan data remains active status in CEIC and is reported by Ministry of Health of the Russian Federation. The data is categorized under High Frequency Database’s Disease Outbreaks – Table RU.GF001: Disease Outbreaks: COVID-19.

COVID-2019: Number of Cases: To Date: NC: Republic of Kabardino Balkaria data was reported at 76,044.000 Person in 31 Oct 2023. This records an increase from the previous number of 75,956.000 Person for 24 Oct 2023. COVID-2019: Number of Cases: To Date: NC: Republic of Kabardino Balkaria data is updated daily, averaging 37,826.500 Person from Apr 2020 (Median) to 31 Oct 2023, with 1132 observations. The data reached an all-time high of 76,044.000 Person in 31 Oct 2023 and a record low of 13.000 Person in 08 Apr 2020. COVID-2019: Number of Cases: To Date: NC: Republic of Kabardino Balkaria data remains active status in CEIC and is reported by Ministry of Health of the Russian Federation. The data is categorized under High Frequency Database’s Disease Outbreaks – Table RU.GF001: Disease Outbreaks: COVID-19.

Characteristics of NC wastewater monitoring network sites.