Analysis of Spatial and Temporal Patterns in Deaths of Despair in the Appalachian Region of the United States

被引:0
|
作者
Deo, Vishal [1 ,2 ]
Gurewitsch, Raanan [3 ]
Guha, Saurav [2 ,4 ]
Ray, Meghana [2 ]
Pyne, Saumyadipta [2 ,5 ]
机构
[1] ICMR, Natl Inst Res Digital Hlth & Data Sci, New Delhi, India
[2] Hlth Analyt Network, Pittsburgh, PA 15224 USA
[3] Univ Pittsburgh, Pittsburgh, PA USA
[4] Bihar Agr Univ, Dept Stat Math & Comp Applicat, Bhagalpur, Bihar, India
[5] Univ Calif Santa Barbara, Dept Stat & Appl Probabil, Santa Barbara, CA 93106 USA
来源
STATISTICS AND APPLICATIONS | 2024年 / 22卷 / 03期
关键词
Deaths of despair; Mortality data; Spatial clustering; Temporal patterns; Opioid epidemic; Appalachian Region;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Mortality data in the United States (U.S.) revealed a precipitous rise in deaths among non-Hispanic white populations starting in the later part of 1990s due to such causes as Suicide, Alcohol consumption, and Drug accidental overdose. In particular, opioid-related deaths have increased dramatically across the U.S. during this period. For a systemic analysis of the temporal and spatial patterns of this critical phenomenon from the perspective of public health, we studied it in the context of Appalachian Region (AR), which spans across 13 U.S. states and is home to more than 8 percent of the country's population. We identified 8 spatial and temporal metaclusters of AR counties with relatively high rates of deaths due to the above-mentioned causes over the period 1979-2017 based on U.S. county- and causespecific mortality data. Thus, we analyzed the mortality trends for each of the metaclusters, which were characterized based on their respective demographic and socioeconomic changes.
引用
收藏
页码:555 / 573
页数:19
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