6 datasets found
  1. E

    COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES)

    • live.european-language-grid.eu
    tmx
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    COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21202
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    tmxAvailable download formats
    License

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

    Description

    Multilingual (EN, KO, IN, ES) corpus acquired from website (https://covid19.govt.nz/) of the New Zealand Government. It contains 250 TUs in total.

  2. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  3. E

    COVID-19 New Zealand dataset. Bilingual (EN-IN)

    • live.european-language-grid.eu
    tmx
    Updated Nov 5, 2020
    + more versions
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    (2020). COVID-19 New Zealand dataset. Bilingual (EN-IN) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21209
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    tmxAvailable download formats
    Dataset updated
    Nov 5, 2020
    License

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

    Area covered
    New Zealand
    Description

    Bilingual (EN-IN) corpus acquired from website (https://covid19.govt.nz/) of the New Zealand Government

  4. Data from: Participant characteristics.

    • plos.figshare.com
    xls
    Updated Nov 5, 2025
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    Sarah Rhodes; Christina Douglas (2025). Participant characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0324489.t001
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    xlsAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sarah Rhodes; Christina Douglas
    License

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

    Description

    BackgroundLong Covid is the persistence of symptoms beyond 12 weeks following acute Covid-19 infection. It is estimated to affect one in ten people and can be extremely debilitating. With few publicly funded long Covid clinics, most people rely on primary care providers as a first point of contact. There is currently limited understanding of the experience of accessing primary health care by adults living with long Covid in New Zealand.PurposeTo explore the experiences of accessing primary health care by adults living with long Covid.MethodsA narrative inquiry approach was used to capture participants lived experiences of accessing primary health care. Zoom interviews and discussions were conducted with study participants. The automatically generated transcripts were reviewed and corrected, and the collated data were analysed using Braun and Clarke’s thematic analysis.ResultsEighteen people participated in the interviews. Codes were identified and, through an iterative process, themes were generated, reviewed, and named. The seven themes included lack of upskilling of primary care staff; let down by the Government; self-advocacy and its cost; and throwing money at it.Conclusion(s)The picture painted by participants was bleak with a sense that the world had moved on from Covid-19 and left them behind, with some experiencing a lack of support in primary health care. Reducing the likely long-term health and economic burden of long Covid requires targeted investment and action by Government at every level, along with better utilisation of the allied health workforce in primary care.

  5. N

    New Zealand All Benefits: Supported Living Payment: Health Condition or...

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). New Zealand All Benefits: Supported Living Payment: Health Condition or Disability [Dataset]. https://www.ceicdata.com/en/new-zealand/table-nzg084-monthly-benefit-and-supplementary-assistance/all-benefits-supported-living-payment-health-condition-or-disability
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    New Zealand
    Variables measured
    Wage/Earnings
    Description

    New Zealand All Benefits: Supported Living Payment: Health Condition or Disability data was reported at 94,332.000 Number in Mar 2025. This records an increase from the previous number of 94,056.000 Number for Feb 2025. New Zealand All Benefits: Supported Living Payment: Health Condition or Disability data is updated monthly, averaging 86,335.500 Number from Apr 2019 (Median) to Mar 2025, with 72 observations. The data reached an all-time high of 94,332.000 Number in Mar 2025 and a record low of 83,874.000 Number in Apr 2019. New Zealand All Benefits: Supported Living Payment: Health Condition or Disability data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s New Zealand – Table NZ.G085: Monthly Benefit and Supplementary Assistance. [COVID-19-IMPACT]

  6. N

    New Zealand All Benefits: Supported Living Payment: Health Condition &...

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). New Zealand All Benefits: Supported Living Payment: Health Condition & Disability [Dataset]. https://www.ceicdata.com/en/new-zealand/weekly-benefit-and-supplementary-assistance/all-benefits-supported-living-payment-health-condition--disability
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 9, 2024 - Oct 25, 2024
    Area covered
    New Zealand
    Variables measured
    Wage/Earnings
    Description

    New Zealand All Benefits: Supported Living Payment: Health Condition & Disability data was reported at 93,948.000 Number in 25 Oct 2024. This records a decrease from the previous number of 93,957.000 Number for 18 Oct 2024. New Zealand All Benefits: Supported Living Payment: Health Condition & Disability data is updated weekly, averaging 85,497.000 Number from Jan 2019 (Median) to 25 Oct 2024, with 304 observations. The data reached an all-time high of 93,957.000 Number in 18 Oct 2024 and a record low of 83,685.000 Number in 08 Feb 2019. New Zealand All Benefits: Supported Living Payment: Health Condition & Disability data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s New Zealand – Table NZ.G084: Weekly Benefit and Supplementary Assistance (Discontinued). [COVID-19-IMPACT]

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COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES) [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/21202

COVID-19 New Zealand dataset. Multilingual (EN, KO, IN, ES)

Explore at:
tmxAvailable download formats
License

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

Description

Multilingual (EN, KO, IN, ES) corpus acquired from website (https://covid19.govt.nz/) of the New Zealand Government. It contains 250 TUs in total.

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