4 datasets found
  1. COVID-19 weekly new cases South Korea 2023

    • statista.com
    Updated Jun 25, 2024
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    Statista (2024). 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
    Jun 25, 2024
    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.

  2. COVID-19 mortality rate in Latin America 2023, by country

    • statista.com
    Updated Jun 6, 2025
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    Statista (2025). COVID-19 mortality rate in Latin America 2023, by country [Dataset]. https://www.statista.com/statistics/1114603/latin-america-coronavirus-mortality-rate/
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    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America
    Description

    Peru is the country with the highest mortality rate due to the coronavirus disease (COVID-19) in Latin America. As of November 13, 2023, the country registered over 672 deaths per 100,000 inhabitants. It was followed by Brazil, with around 331.5 fatal cases per 100,000 population. In total, over 1.76 million people have died due to COVID-19 in Latin America and the Caribbean.

    Are these figures accurate? Although countries like Brazil already rank among the countries most affected by the coronavirus disease (COVID-19), there is still room to believe that the number of cases and deaths in Latin American countries are underreported. The main reason is the relatively low number of tests performed in the region. For example, Brazil, one of the most impacted countries in the world, has performed approximately 63.7 million tests as of December 22, 2022. This compared with over one billion tests performed in the United States, approximately 909 million tests completed in India, or around 522 million tests carried out in the United Kingdom.

    Capacity to deal with the outbreak With the spread of the Omicron variant, the COVID-19 pandemic is putting health systems around the world under serious pressure. The lack of equipment to treat acute cases, for instance, is one of the problems affecting Latin American countries. In 2019, the number of ventilators in hospitals in the most affected countries ranged from 25.23 per 100,000 inhabitants in Brazil to 5.12 per 100,000 people in Peru.

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

  3. a

    MDCOVID19 TotalTestingVolumeByCounty

    • data-maryland.opendata.arcgis.com
    • data.imap.maryland.gov
    • +2more
    Updated Jul 7, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 TotalTestingVolumeByCounty [Dataset]. https://data-maryland.opendata.arcgis.com/datasets/853593daf977435aaa909b334445542c
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    Dataset updated
    Jul 7, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    Deprecated as of 4/27/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe total number of COVID-19 tests administered and the 7-day average percent positive rate in each Maryland jurisdiction.DescriptionTesting volume data represent the total number of PCR COVID-19 tests electronically reported for Maryland residents; this count does not include test results submitted by labs and other clinical facilities through non-electronic means. The 7-day percent postive rate is a rolling average of each day’s positivity percentage. The percentage is calculated using the total number of tests electronically reported to MDH (by date of report) and the number of positive tests electronically reported to MDH (by date of report).COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  4. Key parameters used in the model.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 17, 2024
    + more versions
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    Neil Arvin Bretaña; Jisoo A. Kwon; Luke Grant; Jennifer Galouzis; Colette McGrath; Wendy Hoey; James Blogg; Andrew R. Lloyd; Richard T Gray (2024). Key parameters used in the model. [Dataset]. http://doi.org/10.1371/journal.pone.0303062.t001
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    xlsAvailable download formats
    Dataset updated
    May 17, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Neil Arvin Bretaña; Jisoo A. Kwon; Luke Grant; Jennifer Galouzis; Colette McGrath; Wendy Hoey; James Blogg; Andrew R. Lloyd; Richard T Gray
    License

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

    Description

    Correctional centres (termed here ‘prisons’) are at high risk of COVID-19 and have featured major outbreaks worldwide. Inevitable close contacts, frequent inmate movements, and a disproportionate burden of co-morbidities mean these environments need to be prioritised in any public health response to respiratory pathogens such as COVID-19. We developed an individual-based SARS-CoV-2 transmission model for the prison system in New South Wales, Australia ‐ incorporating all 33 correctional centres, 13,458 inmates, 578 healthcare and 6,909 custodial staff. Potential COVID-19 disease outbreaks were assessed under various mitigation strategies, including quarantine on entry, isolation of cases, rapid antigen testing of staff, as well as immunisation.Without control measures, the model projected a peak of 472 new infections daily by day 35 across the prison system, with all inmates infected by day 120. The most effective individual mitigation strategies were high immunisation coverage and prompt lockdown of centres with infected inmates which reduced outbreak size by 62–73%. Other than immunisation, the combination of quarantine of inmates at entry, isolation of proven or suspected cases, and widespread use of personal protective equipment by staff and inmates was the most effective strategy. High immunisation coverage mitigates the spread of COVID-19 within and between correctional settings but is insufficient alone. Maintaining quarantine and isolation, along with high immunisation levels, will allow correctional systems to function with a low risk of outbreaks. These results have informed public health policy for respiratory pathogens in Australian correctional systems.

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Statista (2024). 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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COVID-19 weekly new cases South Korea 2023

Explore at:
Dataset updated
Jun 25, 2024
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.

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