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

North Carolina NC COVID-19 Cases and Deaths by ZIP Code. This base web map was created for the NC COVID-19 web application. Data provided by NCDHHS department. Any questions please call the Onslow County GIS Department at 1-910-937-1190, Monday - Friday 8am - 5pm.

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.

COVID-19 testing and cases in North Carolina June 1, 2020—August 31, 2020.

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

Records of reported Counts of COVID-19 case counts in New Caledonia from 2020-2021. Download is a zipped CSV file with readme.

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

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: No of Cases: To Date: NC: Stavropol Territory data was reported at 265,160.000 Person in 31 Oct 2023. This records an increase from the previous number of 264,460.000 Person for 24 Oct 2023. COVID-2019: No of Cases: To Date: NC: Stavropol Territory data is updated daily, averaging 106,929.000 Person from Apr 2020 (Median) to 31 Oct 2023, with 1136 observations. The data reached an all-time high of 265,160.000 Person in 31 Oct 2023 and a record low of 20.000 Person in 07 Apr 2020. COVID-2019: No of Cases: To Date: NC: Stavropol Territory 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.

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.).

As of March 10, 2023, the state with the highest number of COVID-19 cases was California. Almost 104 million cases have been reported across the United States, with the states of California, Texas, and Florida reporting the highest numbers.

From an epidemic to a pandemic The World Health Organization declared the COVID-19 outbreak 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 has now reached over 669 million.

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. People aged 85 years and older have accounted for around 27 percent of all COVID-19 deaths in the United States, although this age group makes up just two percent of the U.S. population

Background The Coronavirus epidemic is progressing rapidly in metropolitan France, which has an Open-Data platform whose quality is certified and whose content is regularly updated. Examples: - Confirmed cases in Open Data of the Government in metropolitan France - Santé Publique France To date, I struggle to find a structured and easily accessible dataset. So I decided to launch this initiative. Game rules and data sources Data quality plays a key role. My requirement is to communicate accurate data as quickly as possible as soon as they are announced. For this, I take as my main channel that of the Government of New Caledonia, in particular: - DASS website, New Caledonia Government Department - New Caledonia La 1ère - The Journal Télévisé sur NC1 which relays information centralised by the government on a daily basis - The government's dedicated website: https://covid19.nc/point-de-situation-en-new-caledonia/ Example of infographic used to make data available https://www.dropbox.com/s/4r09l6aq651f8iu/2020-03-21%2006_17_17-Le%20journal%20de%20Nouvelle-Cal%C3%A9donie%20-%20Nouvelle%20Cal%C3%A9donie%20la%201%C3%A8re.png?dl=0" alt="enter image description here" title="Screenshot Infographie Journal TV NC1 du Friday 20/03/2020"> Objective My objective is to: - Parry the best, with the means of the edge (it is for the moment an individual effort) - Prefer not to disseminate data than to disseminate false data NB: As soon as the local authorities have produced such a file in Open Data (and I will actively campaign for it), this dataset will stop. A petition on change.org has been launched to this effect. Community achievements - PowerBI-based dashboard available online, produced in collaboration with Sylver SCHORGEN - Action plan managed via Github in order to have a kanban

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.

Demographic and epidemiological characteristics of laboratory-confirmed COVID-19 cases in Vietnam.

COVID-2019: Number of Cases: To Date: NC: Republic of Karachaevo Cherkessia data was reported at 52,611.000 Person in 31 Oct 2023. This records an increase from the previous number of 52,576.000 Person for 24 Oct 2023. COVID-2019: Number of Cases: To Date: NC: Republic of Karachaevo Cherkessia data is updated daily, averaging 29,295.500 Person from Apr 2020 (Median) to 31 Oct 2023, with 1132 observations. The data reached an all-time high of 52,611.000 Person in 31 Oct 2023 and a record low of 3.000 Person in 08 Apr 2020. COVID-2019: Number of Cases: To Date: NC: Republic of Karachaevo Cherkessia 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.

COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria Disclaimer: We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. Note the data is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Mutations in SARS-CoV-2 genomes and their detection in the GISAID database: Nucleotide variants and amino acid changes.

BackgroundAdaptive immune responses to structural proteins of the virion play a crucial role in protection against coronavirus disease 2019 (COVID-19). We therefore studied T cell responses against multiple SARS-CoV-2 structural proteins in a large cohort using a simple, fast, and high-throughput approach.MethodsAn automated interferon gamma release assay (IGRA) for the Nucleocapsid (NC)-, Membrane (M)-, Spike-C-terminus (SCT)-, and N-terminus-protein (SNT)-specific T cell responses was performed using fresh whole blood from study subjects with convalescent, confirmed COVID-19 (n = 177, more than 200 days post infection), exposed household members (n = 145), and unexposed controls (n = 85). SARS-CoV-2-specific antibodies were assessed using Elecsys® Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG).Results156 of 177 (88%) previously PCR confirmed cases were still positive by Ro-N-Ig more than 200 days after infection. In T cells, most frequently the M-protein was targeted by 88% seropositive, PCR confirmed cases, followed by SCT (85%), NC (82%), and SNT (73%), whereas each of these antigens was recognized by less than 14% of non-exposed control subjects. Broad targeting of these structural virion proteins was characteristic of convalescent SARS-CoV-2 infection; 68% of all seropositive individuals targeted all four tested antigens. Indeed, anti-NC antibody titer correlated loosely, but significantly with the magnitude and breadth of the SARS-CoV-2-specific T cell response. Age, sex, and body mass index were comparable between the different groups.ConclusionSARS-CoV-2 seropositivity correlates with broad T cell reactivity of the structural virus proteins at 200 days after infection and beyond. The SARS-CoV-2-IGRA can facilitate large scale determination of SARS-CoV-2-specific T cell responses with high accuracy against multiple targets.

Genome assembly of 44 SARS-CoV-2 sequences in Vietnam.