3 datasets found
  1. S1 Appendix -

    • plos.figshare.com
    zip
    Updated Sep 23, 2024
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    Augustin de Coulon; Marc Scott (2024). S1 Appendix - [Dataset]. http://doi.org/10.1371/journal.pone.0305330.s001
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    zipAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Augustin de Coulon; Marc Scott
    License

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

    Description

    Using publicly available data, this paper investigates the diffusion of COVID-19 across neighborhoods in two major cities, London and New York. We link neighborhood demographics to incidence, and we investigate patterns of change over time in conjunction with changing policy responses to the pandemic. By comparing and contrasting these two cities, we are able to exploit surveillance and policy differences, demonstrating how each contributes information to the other. We conclude that better coordination can be translated into improved health policy.

  2. d

    Terminologie employée par le New York Times, le Globe and Mail et le Times...

    • search.dataone.org
    • borealisdata.ca
    Updated Sep 11, 2024
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    Nguyen , Phi Vân; Sickert, Sophie; Klos, Hannah (2024). Terminologie employée par le New York Times, le Globe and Mail et le Times of London au sujet de la crise des réfugiés en Asie du Sud Est de 1975-1995-Terminology used by the New York Times, The Globe and Mail, and The Times of London on the Southeast Asian refugee crisis from 1975 to 1995 [Dataset]. http://doi.org/10.5683/SP3/HGKFRZ
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Borealis
    Authors
    Nguyen , Phi Vân; Sickert, Sophie; Klos, Hannah
    Area covered
    South East Asia
    Description

    Les objectifs de cette partie du projet étaient d’identifier l’importance relative de la crise des réfugiés dans trois quotidiens anglo-saxons, The New York Times, The Globe and Mail, and The Times of London et d’identifier quels mots étaient employés pour décrire la population déplacée. Ces données ont permis la production d’une analyse, Sickert Sophie, Klos Hannah, “Media Representations,” Boat People History, 2020, https://boatpeoplehistory.com/rp/media-repr/ The objectives of this part of the research project were to identify the relative importance of the Southeast Asian refugee crisis in three English-language dailies, The New York Times, The Globe and Mail, and The Times of London and to identify which words were used to describe the displaced population. Research results based on this data have appeared in Sickert Sophie, Klos Hannah, “Media Representations,” Boat People History, 2020, https://boatpeoplehistory.com/rp/media-repr/

  3. Ranking of global cities according to GCPI 2024

    • statista.com
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    Statista, Ranking of global cities according to GCPI 2024 [Dataset]. https://www.statista.com/statistics/1242646/leading-cities-gcpi/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    In 2024, London was the most attractive city worldwide according to the Global Power City Index (GCPI), with a score of ******. New York City and Tokyo followed with ****** and ****** points respectively. The Global Power City Index (GPCI) provides a ranking of global cities based on the following criteria: economy, research and development, cultural interaction, livability, environment, and accessibility. It is an assessment of city's power to attract people, businesses and capital from all over the world.

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Augustin de Coulon; Marc Scott (2024). S1 Appendix - [Dataset]. http://doi.org/10.1371/journal.pone.0305330.s001
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S1 Appendix -

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Sep 23, 2024
Dataset provided by
PLOShttp://plos.org/
Authors
Augustin de Coulon; Marc Scott
License

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

Description

Using publicly available data, this paper investigates the diffusion of COVID-19 across neighborhoods in two major cities, London and New York. We link neighborhood demographics to incidence, and we investigate patterns of change over time in conjunction with changing policy responses to the pandemic. By comparing and contrasting these two cities, we are able to exploit surveillance and policy differences, demonstrating how each contributes information to the other. We conclude that better coordination can be translated into improved health policy.

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