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  1. Article ; Online: Harmonizing government responses to the COVID-19 pandemic.

    Cheng, Cindy / Messerschmidt, Luca / Bravo, Isaac / Waldbauer, Marco / Bhavikatti, Rohan / Schenk, Caress / Grujic, Vanja / Model, Tim / Kubinec, Robert / Barceló, Joan

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 204

    Abstract: Public health and safety measures (PHSM) made in response to the COVID-19 pandemic have been singular, rapid, and profuse compared to the content, speed, and volume of normal policy-making. Not only can they have a profound effect on the spread of the ... ...

    Abstract Public health and safety measures (PHSM) made in response to the COVID-19 pandemic have been singular, rapid, and profuse compared to the content, speed, and volume of normal policy-making. Not only can they have a profound effect on the spread of the disease, but they may also have multitudinous secondary effects, in both the social and natural worlds. Unfortunately, despite the best efforts by numerous research groups, existing data on COVID-19 PHSM only partially captures their full geographical scale and policy scope for any significant duration of time. This paper introduces our effort to harmonize data from the eight largest such efforts for policies made before September 21, 2021 into the taxonomy developed by the CoronaNet Research Project in order to respond to the need for comprehensive, high quality COVID-19 data. In doing so, we present a comprehensive comparative analysis of existing data from different COVID-19 PHSM datasets, introduce our novel methodology for harmonizing COVID-19 PHSM data, and provide a clear-eyed assessment of the pros and cons of our efforts.
    MeSH term(s) Humans ; COVID-19 ; Government ; Pandemics ; Public Health ; Datasets as Topic ; Policy Making
    Language English
    Publishing date 2024-02-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-023-02881-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A General Primer for Data Harmonization.

    Cheng, Cindy / Messerschmidt, Luca / Bravo, Isaac / Waldbauer, Marco / Bhavikatti, Rohan / Schenk, Caress / Grujic, Vanja / Model, Tim / Kubinec, Robert / Barceló, Joan

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 152

    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-02956-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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