Indigenous Peoples' Data During COVID-19: From External to Internal

被引:21
作者
Carroll, Stephanie Russo [1 ,2 ]
Akee, Randall [3 ]
Chung, Pyrou [4 ]
Cormack, Donna [5 ]
Kukutai, Tahu [6 ]
Lovett, Raymond [7 ]
Suina, Michele [8 ]
Rowe, Robyn K. [9 ]
机构
[1] Univ Arizona, Coll Publ Hlth, Tucson, AZ 85721 USA
[2] Univ Arizona, Nat Nations Inst, Tucson, AZ 85721 USA
[3] Univ Calif Los Angeles, Dept Amer Indian Studies & Publ Policy, Los Angeles, CA USA
[4] East West Management Inst, Open Dev Initiat, New York, NY USA
[5] Univ Auckland, Fac Med & Hlth Sci, Te Kupenga Hauora Maori, Auckland, New Zealand
[6] Univ Waikato, Natl Inst Demog & Econ Anal, Hamilton, New Zealand
[7] Australian Natl Univ, Res Sch Populat Hlth, Canberra, ACT, Australia
[8] Albuquerque Area Indian Hlth Board, Albuquerque Area Southwest Tribal Epidemiol Ctr, Albuquerque, NM USA
[9] Laurentian Univ, Sch Rural & Northern Hlth, Sudbury, ON, Canada
关键词
Indigenous Peoples; data sovereignty; data governance; data sharing; public health; NEW-ZEALAND; HEALTH; AUSTRALIA; STATES;
D O I
10.3389/fsoc.2021.617895
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
Global disease trackers quantifying the size, spread, and distribution of COVID-19 illustrate the power of data during the pandemic. Data are required for decision-making, planning, mitigation, surveillance, and monitoring the equity of responses. There are dual concerns about the availability and suppression of COVID-19 data; due to historic and ongoing racism and exclusion, publicly available data can be both beneficial and harmful. Systemic policies related to genocide and racism, and historic and ongoing marginalization, have led to limitations in quality, quantity, access, and use of Indigenous Peoples' COVID-19 data. Governments, non-profits, researchers, and other institutions must collaborate with Indigenous Peoples on their own terms to improve access to and use of data for effective public health responses to COVID-19.
引用
收藏
页数:8
相关论文
共 80 条
[71]  
United Nations, 2018, A7345712 UN
[72]  
United Nations, 2009, Siberian
[73]  
United Nations, 2019, REC PROT US HLTH REL
[74]  
United Nations Department of Economic and Social Affairs, 2020, INDIGENOUS PEOPLES C
[75]  
Urban Indian Health Institute (UIHI), 2020, BEST PRACT AM IND AL
[76]  
Walter M., 2018, Griffith Review, P256, DOI [DOI 10.3316/IELAPA.586241932732209, 10.3316/informit.586241932732209, DOI 10.3316/INFORMIT.586241932732209]
[77]  
Walter M, 2013, Indigenous statistics: A quantitative research methodology
[78]  
Walter M, 2016, RES MG CENT ABORIG E, V38, P79
[79]  
World Health Organization, 2020, TECHNICAL SPECIFICAT
[80]  
Yellowhead Institute, 2020, NO SUCH THING NAT DI