91 datasets found
  1. COVID-19 monthly confirmed and death case development South Korea 2020-2023

    • statista.com
    Updated Jun 26, 2024
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    Statista (2024). COVID-19 monthly confirmed and death case development South Korea 2020-2023 [Dataset]. https://www.statista.com/statistics/1098721/south-korea-coronavirus-confirmed-and-death-number/
    Explore at:
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 20, 2020 - Jul 3, 2023
    Area covered
    South Korea
    Description

    As of July 3, 2023, South Korea has confirmed a total of 32,256,154 cases of coronavirus (COVID-19) within the country, including 35,071 deaths. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. After the first wave lasted till April, Seoul and the metropolitan areas were hit hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases in 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. COVID-19 confirmed and hospitalized cases South Korea 2023

    • statista.com
    Updated Jun 4, 2024
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    Statista (2024). COVID-19 confirmed and hospitalized cases South Korea 2023 [Dataset]. https://www.statista.com/statistics/1095848/south-korea-confirmed-and-suspected-coronavirus-cases/
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    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, South Korea has confirmed a total of 34,436,586 positive cases of coronavirus (COVID-19), including 35,812 deaths. The first case coronavirus in South Korea was discovered in January 2020. Currently, 25.57 cases per 100,000 people are being confirmed, down from 35.74 cases last month.

    Case development trend

    In the middle of February 2020, novel coronavirus (COVID-19) began to increase exponentially from patient 31, who was known as a super propagator. With a quick response by the government, the daily new cases once dropped to a single-digit. In May 2020, around three hundreds of new infections were related to cluster infections that occurred in some clubs at Itaewon, an entertainment district in Seoul. Seoul and the metropolitan areas were hit hard by this Itaewon infection. Following the second wave of infections in August, the government announced it was facing the third wave in November with 200 to 300 confirmed cases every day. A fourth wave started in July 2021 from the spread of the delta variant and low vaccination rates. While vaccination rates have risen significantly since then, the highly infectious omicron variant led to a record-breaking rise in cases. This began easing up in March of 2022, though numbers began to rise again around August of 2022. As of October 2022, case numbers are decreasing again.

    Economic impact on Korean economy

    The Korean economy is interdependent on many countries over the world, so the impact of coronavirus on Korean economy is significant. According to recent OECD forecasts, South Korea's GDP is projected to show positive growth in 2022 and 2023. The first sector the coronavirus impacted was tourism, caused by decreasing numbers of inbound tourists and domestic sales. In the first quarter of 2020, tourism revenue was expected to decrease by 2.9 trillion won. In addition, Korean companies predicted that the damage caused by the losses in sales and exports would be significant. In particular, the South Korean automotive industry was considered to be the most affected industry, as automobile production and parts supply stopped at factories in China.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. T

    South Korea Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
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    TRADING ECONOMICS (2020). South Korea Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/south-korea/coronavirus-cases
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    South Korea
    Description

    South Korea recorded 31415280 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, South Korea reported 34610 Coronavirus Deaths. This dataset includes a chart with historical data for South Korea Coronavirus Cases.

  4. COVID-19 weekly new cases South Korea 2023

    • statista.com
    Updated Mar 1, 2023
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    Statista (2023). COVID-19 weekly new cases South Korea 2023 [Dataset]. https://www.statista.com/statistics/1102777/south-korea-covid-19-daily-new-cases/
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    Dataset updated
    Mar 1, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 20, 2020 - Mar 1, 2023
    Area covered
    South Korea
    Description

    On March 1, 2023, exactly 12,291 new cases of coronavirus (COVID-19) were reported in South Korea. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. Seoul and the metropolitan areas were hit especially hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases. Cases once again began to decline in January of 2023.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. Distribution of COVID-19 cases South Korea 2023, by age

    • statista.com
    Updated Jun 4, 2024
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    Statista (2024). Distribution of COVID-19 cases South Korea 2023, by age [Dataset]. https://www.statista.com/statistics/1102730/south-korea-coronavirus-cases-by-age/
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    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, confirmed coronavirus (COVID-19) patients in their forties made up the largest share of patients in South Korea, amounting to around 15.2 percent of all positive cases. The first wave lasted until April, with the second wave following in August of 2020. This was further followed by a fourth wave, driven by the delta and omicron variants. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases in 2022.

    Patient profile

    In South Korea, the infection rate of coronavirus was the highest among people in the twenties due to their social activities. Indeed, the new infections related to the clubgoers in Seoul are likely to increase the infection rate between young people. 158 out of 261 clubgoer-related confirmed patients were in teenagers or in their twenties, and 36 patients were in their thirties. The mortality rate of coronavirus by age group was somewhat different from the age distribution of total infection cases. It was highest among people in their eighties, with this group making up around 59.6 percent of deaths related to the coronavirus in South Korea. Mortality declined with each younger age group.

    Daily life changes

    In South Korea, a new policy of "With Corona" has been launched in order to ease society back into a new norm of living with the virus, without having too many restrictions in place. This is based on high vaccination rates, and includes strict quarantine measures for those who are infected and their close contacts. There are plans to improve the verification of vaccination and test certificates for use in public spaces. Most South Koreans have responded to rising numbers by once again avoiding crowded places or going out. It is common to wear masks regardless of diseases, so people are continuing to wear masks when they need to go out. Also, people prefer to do online shopping than physical shopping, and online sales of food and health-related products have increased by more than 700 percent compared to last year. Spending on living, cooking, and furniture has increased significantly as people spend more time at home.

  6. Latest Coronavirus COVID-19 figures for N. Korea

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for N. Korea [Dataset]. https://covid19-today.pages.dev/countries/n-korea/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    North Korea
    Description

    In past 24 hours, N. Korea, Asia had N/A new cases, N/A deaths and N/A recoveries.

  7. COVID-19 cases South Korea 2023, by province

    • statista.com
    Updated Nov 1, 2024
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    Statista (2024). COVID-19 cases South Korea 2023, by province [Dataset]. https://www.statista.com/statistics/1100120/south-korea-coronavirus-cases-by-province/
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    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 31, 2023
    Area covered
    South Korea
    Description

    As of August 31, 2023, Gyeonggi (Gyeonggi Province) registered around 9.3 million confirmed cases of coronavirus (COVID-19), making it the region with the most cases in South Korea. This was followed by the capital city of Seoul and the city of Busan. A further 18.9 thousand people tested positive during quarantine. There were a total of 14 provinces with one million or more COVID cases each, with Gangwon (Gangwon Province) being the newest addition.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  8. S

    South Korea Total Covid cases per million people, March, 2023 - data, chart...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
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    Globalen LLC (2023). South Korea Total Covid cases per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/South-Korea/covid_cases_per_million/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    South Korea
    Description

    Total Covid cases per million people in South Korea, March, 2023 The most recent value is 594802 cases per million as of March 2023, an increase compared to the previous value of 589125 cases per million. Historically, the average for South Korea from February 2020 to March 2023 is 160055 cases per million. The minimum of 57 cases per million was recorded in February 2020, while the maximum of 594802 cases per million was reached in March 2023. | TheGlobalEconomy.com

  9. COVID-19 test case total number South Korea 2021

    • statista.com
    Updated Jun 26, 2024
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    Statista (2024). COVID-19 test case total number South Korea 2021 [Dataset]. https://www.statista.com/statistics/1102818/south-korea-covid-19-test-total-number/
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    As of August 1, 2021, over 11.7 million coronavirus (COVID-19) tests were conducted in South Korea. South Korea succeeded in flattening the infection curve by rapidly conducting extensive tests immediately in the early stages and exported medical products and hygiene products to other countries. However, from July 2021, Korea has been dealing with a fourth wave because of the spread of the delta variant and low vaccination numbers. As of August 13, 2021, South Korea confirmed 220,182 cases of infection including 2,144 deaths.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  10. Distribution of COVID-19 cases South Korea 2023, by gender

    • statista.com
    Updated Jun 4, 2024
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    Statista (2024). Distribution of COVID-19 cases South Korea 2023, by gender [Dataset]. https://www.statista.com/statistics/1102722/south-korea-coronavirus-cases-by-gender/
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    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, around 54 percent of confirmed coronavirus (COVID-19) patients in South Korea were female. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. The first wave lasted until April, after which Seoul and the metropolitan areas were hit hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases in 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  11. COVID-19

    • kaggle.com
    • data.world
    zip
    Updated May 25, 2020
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    Atila Madai (2020). COVID-19 [Dataset]. https://www.kaggle.com/atilamadai/covid19
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    zip(68606230 bytes)Available download formats
    Dataset updated
    May 25, 2020
    Authors
    Atila Madai
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The novel coronavirus that has infected more than 79,551 people worldwide (as of time of writing this context) is spreading rapidly, and independently, in countries outside of China, including Italy, South Korea, and Iran. The viral illness is being diagnosed among hundreds of people in South Korea, Italy and Iran who have no connection to China.

    Content

    In the notebook I use the time series data. Time series data columns are described in the column description.

    Acknowledgements

    Thanks to the Johns Hopkins University for providing this data-set for educational purposes. https://github.com/CSSEGISandData/COVID-19

    Inspiration

    To visualize COVID-19 spread world wide.

  12. N

    North Korea New Covid cases per million people, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    + more versions
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    Globalen LLC, North Korea New Covid cases per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/North-Korea/covid_new_cases_per_million/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    North Korea
    Description

    New Covid cases per million people in North Korea, March, 2023 The most recent value is 0 new Covid cases per million people as of March 2023, compared to the previous value of 0 new Covid cases per million people. Historically, the average for North Korea from February 2020 to March 2023 is new Covid cases per million people. The minimum of new Covid cases per million people was recorded in , while the maximum of new Covid cases per million people was reached in . | TheGlobalEconomy.com

  13. z

    Counts of COVID-19 reported in KOREA (THE REPUBLIC OF): 2019-2021

    • zenodo.org
    • catalog.midasnetwork.us
    • +2more
    json, xml, zip
    Updated Jun 3, 2024
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    MIDAS Coordination Center; MIDAS Coordination Center (2024). Counts of COVID-19 reported in KOREA (THE REPUBLIC OF): 2019-2021 [Dataset]. http://doi.org/10.25337/t7/ptycho.v2.0/kr.840539006
    Explore at:
    zip, xml, jsonAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset provided by
    Project Tycho
    Authors
    MIDAS Coordination Center; MIDAS Coordination Center
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    South Korea
    Description

    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.

  14. Age distribution of COVID-19 death cases South Korea 2023, by age group

    • statista.com
    Updated Jun 4, 2024
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    Statista (2024). Age distribution of COVID-19 death cases South Korea 2023, by age group [Dataset]. https://www.statista.com/statistics/1105080/south-korea-coronavirus-deaths-by-age/
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, around 59.8 percent of the patients who died from novel coronavirus (COVID-19) in South Korea were aged 80 years or older. This was despite older people making up only a small percentage of all COVID-19 cases in South Korea. A fourth wave fueled by the delta and omicron variants led to a record rate of new daily cases in 2022, which once again began to decline in 2023.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  15. M

    Project Tycho Dataset; Counts of COVID-19 Reported In KOREA (DEMOCRATIC...

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    csv, zip
    Updated Aug 25, 2025
    + more versions
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    MIDAS Coordination Center (2025). Project Tycho Dataset; Counts of COVID-19 Reported In KOREA (DEMOCRATIC PEOPLE'S REPUBLIC OF): 2020-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/KP.840539006
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Aug 25, 2025
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Time period covered
    Jan 3, 2020 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in KOREA (DEMOCRATIC PEOPLE'S REPUBLIC OF): 2020-01-03 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  16. Coronavirus (COVID-19) dataset

    • kaggle.com
    Updated Mar 31, 2020
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    Balaaje (2020). Coronavirus (COVID-19) dataset [Dataset]. https://www.kaggle.com/datasets/balaaje/coronavirus-covid19-dataset/versions/7
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2020
    Dataset provided by
    Kaggle
    Authors
    Balaaje
    Description

    Context

    The 2019–20 coronavirus pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus first emerged in Wuhan, Hubei, China, in December 2019. On 11 March 2020, the World Health Organization declared the outbreak a pandemic. As of 11 March 2020, over 126,000 cases have been confirmed in more than 110 countries and territories, with major outbreaks in mainland China, Italy, South Korea, and Iran. More than 4,600 have died from the disease and 67,000 have recovered.

    Content

    2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

    This dataset has information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this data was scrapped from https://www.worldometers.info/coronavirus/.This data is solely for education purposes only.

    Acknowledgements

    This data is solely belongs to https://www.worldometers.info/coronavirus/. for licensing visit https://www.worldometers.info/licensing/

  17. f

    Table_1_Outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 B.1.620...

    • frontiersin.figshare.com
    xls
    Updated Jun 15, 2023
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    Young-Ran Ha; Een-suk Shin; Hyun-Jeong Kim; Eun-Hwa Hyeon; Jae-Sung Park; Yoon-Seok Chung (2023). Table_1_Outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 B.1.620 Lineage in the General Hospital of Jeju Island, Republic of Korea.xls [Dataset]. http://doi.org/10.3389/fmicb.2022.860535.s002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    Frontiers
    Authors
    Young-Ran Ha; Een-suk Shin; Hyun-Jeong Kim; Eun-Hwa Hyeon; Jae-Sung Park; Yoon-Seok Chung
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Jeju Island, Jeju-si, South Korea
    Description

    The number of coronavirus disease (COVID-19)-positive cases has increased in Jeju Island, Republic of Korea. Identification and monitoring of new mutations in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are extremely important to fighting the global pandemic. We report a breakout of the B.1.620 lineage, harboring the E484 mutation in the virus spike protein in a general hospital on Jeju Island. A cluster of cases was detected between August 4 and September 10, 2021, involving 20 patients positive for COVID-19 of 286 individuals exposed to the virus, comprising hospital patients, staff, and caregivers. We analyzed the epidemiological characteristics and spike proteins mutation sites using Sanger sequencing and phylogenetic analysis on these 20 patients. By analyzing genomic variance, it was confirmed that 12 of the confirmed patients harbored the SARS-CoV-2 B.1.620 lineage. The breakthrough rate of infection was 2% in fully vaccinated individuals among these patients. Next clade analysis revealed that these SARS-CoV-2 genomes belong to clade 20A. This is the first reported case of SARS-CoV-2 sub-lineage B.1.620, although the B.1.617.2 lineage has prevailed in August and September in Jeju, which has a geographical advantage of being an island. We reaffirm that monitoring the spread of SARS-CoV-2 variants with characteristic features is indispensable for controlling COVID-19 outbreaks.

  18. f

    Data_Sheet_1_Variability in the serial interval of COVID-19 in South Korea:...

    • frontiersin.figshare.com
    pdf
    Updated Mar 7, 2024
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    Hyosun Lee; Gira Lee; Tobhin Kim; Suhyeon Kim; Hyoeun Kim; Sunmi Lee (2024). Data_Sheet_1_Variability in the serial interval of COVID-19 in South Korea: a comprehensive analysis of age and regional influences.PDF [Dataset]. http://doi.org/10.3389/fpubh.2024.1362909.s001
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    pdfAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset provided by
    Frontiers
    Authors
    Hyosun Lee; Gira Lee; Tobhin Kim; Suhyeon Kim; Hyoeun Kim; Sunmi Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    IntroductionQuantifying the transmissibility over time, particularly by region and age, using parameters such as serial interval and time-varying reproduction number, helps in formulating targeted interventions. Moreover, considering the impact of geographical factors on transmission provides valuable insights into the effectiveness of control measures.MethodsDrawing on a comprehensive dataset of COVID-19 cases in South Korea, we analyzed transmission dynamics with a focus on age and regional variations. The dataset, compiled through the efforts of dedicated epidemiologists, includes information on symptom onset dates, enabling detailed investigations. The pandemic was divided into distinct phases, aligning with changes in policies, emergence of variants, and vaccination efforts. We analyzed various interventions such as social distancing, vaccination rates, school closures, and population density. Key parameters like serial interval, heatmaps, and time-varying reproduction numbers were used to quantify age and region-specific transmission trends.ResultsAnalysis of transmission pairs within age groups highlighted the significant impact of school closure policies on the spread among individuals aged 0-19. This analysis also shed light on transmission dynamics within familial and educational settings. Changes in confirmed cases over time revealed a decrease in spread among individuals aged 65 and older, attributed to higher vaccination rates. Conversely, densely populated metropolitan areas experienced an increase in confirmed cases. Examination of time-varying reproduction numbers by region uncovered heterogeneity in transmission patterns, with regions implementing strict social distancing measures showing both increased confirmed cases and delayed spread, indicating the effectiveness of these policies.DiscussionOur findings underscore the importance of evaluating and tailoring epidemic control policies based on key COVID-19 parameters. The analysis of social distancing measures, school closures, and vaccine impact provides valuable insights into controlling transmission. By quantifying the impact of these interventions on different age groups and regions, we contribute to the ongoing efforts to combat the COVID-19 pandemic effectively.

  19. Gender distribution of COVID-19 death cases South Korea 2023

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). Gender distribution of COVID-19 death cases South Korea 2023 [Dataset]. https://www.statista.com/statistics/1105074/south-korea-coronavirus-deaths-by-gender/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 28, 2023
    Area covered
    South Korea
    Description

    As of August 28, 2023, around 50.6 percent of patients who died from novel coronavirus (COVID-19) in South Korea were female. During the same time period, women also made up the larger share of COVID-19 diagnoses in South Korea.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  20. H

    Data from: Rules and guidelines for distancing in daily life to control...

    • dataverse.harvard.edu
    Updated Aug 6, 2020
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    Central Disaster and Safety Countermeasure Headquarters of the Republic of Korea (2020). Rules and guidelines for distancing in daily life to control coronavirus disease 2019 in Korea: 3rd version, announced on July 3, 2020 [Dataset]. http://doi.org/10.7910/DVN/8JEMAY
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 6, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Central Disaster and Safety Countermeasure Headquarters of the Republic of Korea
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    In Korea, the first case of coronavirus disease 2019 (COVID-19) was reported on January 21, 2020, after which the number of infected people began to increase. Intensive control measures stabilized the spread of COVID-19 in Korea. Therefore, the Korean government introduced the policy of “distancing in daily life” to support the maintenance of normal life starting on March 22, 2020. This policy provides rules and guidelines on distancing in daily life to facilitate the control of COVID-19 in Korea. “Distancing in daily life” refers to a new, sustainable way of life and social interactions that prepares society to face the possibility of long-term prevalence of COVID-19. These guidelines aim to achieve the goal of infection prevention and containment, while sustaining people’s everyday life, economic, and social activities. All members of society and communities are called upon to fulfill their respective responsibilities to combat the COVID-19 pandemic and to safeguard everyone’s health and well-being. Five key rules govern personal distancing in daily life: stay home for 3–4 days if you feel unwell; keep a distance of 2 arms’ length from others; wash your hands for 30 seconds and cough or sneeze into your sleeve; ventilate spaces at least twice a day and disinfect regularly; and stay connected while physically distancing. Collective distancing in daily life for communities and organizations is supported by these 5 key rules, and detailed guidelines are set out for different types of facilities. All individuals and communities are obliged to abide by these rules and guidelines for distancing as part of daily life

Share
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Link copied
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Statista (2024). COVID-19 monthly confirmed and death case development South Korea 2020-2023 [Dataset]. https://www.statista.com/statistics/1098721/south-korea-coronavirus-confirmed-and-death-number/
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COVID-19 monthly confirmed and death case development South Korea 2020-2023

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 26, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 20, 2020 - Jul 3, 2023
Area covered
South Korea
Description

As of July 3, 2023, South Korea has confirmed a total of 32,256,154 cases of coronavirus (COVID-19) within the country, including 35,071 deaths. South Korea's handling of the coronavirus (COVID-19) was initially widely praised, though the government's handling of vaccine distribution has been criticized. After the first wave lasted till April, Seoul and the metropolitan areas were hit hard by a few group infections during the second wave in August 2020. This was followed by a fourth wave, driven by the delta variant and low vaccination rates, leading to rising figures. Though the country has since achieved high vaccination rates, the omicron variant led to record new daily cases in 2022.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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