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      Reflections on ‘Decolonizing’ Big Data in Global Health

      research-article
      , PharmD, MPH, PhD 1
      Annals of Global Health
      Ubiquity Press
      big data, health services research, global health, epidemiology

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          Abstract

          While much has been written about the role of ‘big data’ in health services research and epidemiology, there has been less exploration of the imperative of data sovereignty on informing the ethics of health services research and global health more broadly, especially in the context of decoloniality in an era of ‘big data.’ In this viewpoint, epidemiologist and health services researcher Qato offers a brief exploration of some questions that may drive this effort: is ‘decolonizing’ health data necessary? If so, what are the stakes, and who sets the terms? What would a decolonized data infrastructure necessary for health systems equity globally look like?

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          Most cited references18

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          The COVID-19 pandemic and health inequalities

          This essay examines the implications of the COVID-19 pandemic for health inequalities. It outlines historical and contemporary evidence of inequalities in pandemics—drawing on international research into the Spanish influenza pandemic of 1918, the H1N1 outbreak of 2009 and the emerging international estimates of socio-economic, ethnic and geographical inequalities in COVID-19 infection and mortality rates. It then examines how these inequalities in COVID-19 are related to existing inequalities in chronic diseases and the social determinants of health, arguing that we are experiencing a syndemic pandemic. It then explores the potential consequences for health inequalities of the lockdown measures implemented internationally as a response to the COVID-19 pandemic, focusing on the likely unequal impacts of the economic crisis. The essay concludes by reflecting on the longer-term public health policy responses needed to ensure that the COVID-19 pandemic does not increase health inequalities for future generations.
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            Algorithms of Oppression

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              Will global health survive its decolonisation?

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                Author and article information

                Contributors
                Journal
                Ann Glob Health
                Ann Glob Health
                2214-9996
                Annals of Global Health
                Ubiquity Press
                2214-9996
                21 July 2022
                2022
                : 88
                : 1
                : 56
                Affiliations
                [1 ]University of Maryland Baltimore, School of Medicine & School of Pharmacy, US
                Author notes
                CORRESPONDING AUTHOR: Danya M. Qato, PharmD, MPH, PhD University of Maryland Baltimore, School of Medicine & School of Pharmacy, US dqato@ 123456rx.umaryland.edu
                Author information
                https://orcid.org/0000-0002-6355-1526
                Article
                10.5334/aogh.3709
                9306674
                35936229
                e65632a3-bcbc-4170-8149-12b29074ffe7
                Copyright: © 2022 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 January 2022
                : 03 May 2022
                Categories
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                big data,health services research,global health,epidemiology

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