COVID-19 in New Mexico Tribal Lands: Understanding the Role of Social Vulnerabilities and Historical Racisms.
COVID-19 in New Mexico Tribal Lands: Understanding the Role of Social Vulnerabilities and Historical Racisms.
复制标题
DOI:
10.3389/fsoc.2020.610355
复制
发表时间:
2020
影响因子:
2.5
通讯作者:
Huyser KR
中科院分区:
文献类型:
--
作者:
Yellow Horse AJ;Deschine Parkhurst NA;Huyser KR
The Coronavirus 2019 (COVID-19) pandemic has disproportionally affected Indigenous Peoples. Unfortunately, there is no accurate understanding of COVID-19's impacts on Indigenous Peoples and communities due to systematic erasure of Indigenous representation in data. Early evidence suggests that COVID-19 has been able to spread through pre-pandemic mechanisms ranging from disproportionate chronic health conditions, inadequate access to healthcare, and poor living conditions stemming from structural inequalities. Using innovative data, we comprehensively investigate the impacts of COVID-19 on Indigenous Peoples in New Mexico at the zip code level. Specifically, we expand the U.S. Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to include the measures of structural vulnerabilities from historical racisms against Indigenous Peoples. We found that historically-embedded structural vulnerabilities (e.g., Tribal land status and higher percentages of house units without telephone and complete plumbing) are critical in understanding the disproportionate burden of COVID-19 that American Indian and Alaska Native populations are experiencing. We found that historically-embedded vulnerability variables that emerged epistemologically from Indigenous knowledge had the largest explanatory power compared to other social vulnerability factors from SVI and COVID-19, especially Tribal land status. The findings demonstrate the critical need in public health to center Indigenous knowledge and methodologies in mitigating the deleterious impacts of COVID-19 on Indigenous Peoples and communities, specifically designing place-based mitigating strategies.
登录
查看更多内容
影响因子:
0.9
作者:
Casas-Cortes, Maria Isabel;Osterweil, Michal;Powell, Dana E.
通讯作者:
Powell, Dana E.
DOI:
10.3390/ijerph16152727
发表时间:
2019-08-01
影响因子:
--
作者:
Credo, Jonathan;Torkelson, Jaclyn;Ingram, Jani C.
通讯作者:
Ingram, Jani C.
影响因子:
8.3
作者:
Gaynor, Tia Sheree;Wilson, Meghan E.
通讯作者:
Wilson, Meghan E.
影响因子:
12.7
作者:
Arnold, Shaye Beverly
通讯作者:
Arnold, Shaye Beverly
影响因子:
4.5
作者:
Harmon ME;Lewis J;Miller C;Hoover J;Ali AS;Shuey C;Cajero M;Lucas S;Zychowski K;Pacheco B;Erdei E;Ramone S;Nez T;Gonzales M;Campen MJ
通讯作者:
Campen MJ