Our Collective Needs and Strengths: Urban AI/ANs and the COVID-19 Pandemic.
Our Collective Needs and Strengths: Urban AI/ANs and the COVID-19 Pandemic.
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DOI：
10.3389/fsoc.2021.611775
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发表时间：
2021
影响因子：
2.5
通讯作者：
O'Keefe VM
中科院分区：
文献类型：
--
作者：
Maudrie TL;Lessard KH;Dickerson J;Aulandez KMW;Barlow A;O'Keefe VM
COVID-19大流行提高了国民对健康不平等的认识，这些不平等对美洲印第安人/阿拉斯加原住民（AI/AN）社区造成了不成比例的影响，但城市AI/AN社区仍然是卫生领导者和政策制定者的盲点。虽然美国所有城市自古以来都是人工智能/人工智能人群的传统家园，但城市人工智能/人工智能人群一直被排除在地方和国家健康评估之外，包括最近有关COVID-19的报告。今天，大多数AI/AN（71%）生活在城市地区，许多城市都有强大的城市印度健康计划（UIHP），为医疗保健，社区聚会，文化活动和传统治疗提供空间。许多这些UIHP目前正在努力满足其AI/AN服务社区在大流行期间的需求。虽然COVID-19大流行为非自治卫生保健提供了新的资金来源，但缺乏当地人工智能/人工神经网络数据和任意的资金限制使一些非自治卫生保健提供者无法解决其社区最紧迫的挑战，如粮食和经济不安全。尽管存在这些挑战，但城市AI/AN社区在编织强大的社区网络、建立当代传统并进行创新以满足社区需求时，仍然具有其祖先的历史韧性。本文重点介绍了巴尔的摩市的一个UIHP在COVID-19大流行期间的经验，以说明当前的挑战和优势，并阐明了针对城市AI/AN健康的定制，本地数据驱动的公共卫生方法的紧迫性。
The COVID-19 pandemic has raised national consciousness about health inequities that disproportionately impact American Indian/Alaska Native (AI/AN) communities, yet urban AI/AN communities continue to remain a blind spot for health leaders and policymakers. While all United States cities have been the traditional homelands of AI/AN peoples since time immemorial, urban AI/ANs are consistently excluded in local and national health assessments, including recent reports pertaining to COVID-19. Today the majority of AI/ANs (71%) live in urban areas, and many cities have strong Urban Indian Health Programs (UIHPs) that provide space for medical care, community gatherings, cultural activities, and traditional healing. Many of these UIHPs are currently scrambling to meet the needs of their AI/AN service communities during the pandemic. While the COVID-19 pandemic brought new sources of funding to UIHPs, the lack of local AI/AN data and arbitrary funding restrictions precluded some UIHPs from addressing their communities’ most immediate challenges such as food and economic insecurities. Despite these challenges, urban AI/AN communities carry the historical resilience of their ancestors as they weave strong community networks, establish contemporary traditions, and innovate to meet community needs. This article focuses on the experiences of one UIHP in Baltimore City during the COVID-19 pandemic to illustrate present-day challenges and strengths, as well as illuminate the urgency for tailored, local data-driven public health approaches to urban AI/AN health.