Skip to main navigation Skip to search Skip to main content

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

  • Vishal Deo
  • , Raanan Gurewitsch
  • , Saurav Guha
  • , Meghana Ray
  • , Saumyadipta Pyne*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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 cause-specific mortality data. Thus, we analyzed the mortality trends for each of the metaclusters, which were characterized based on their respective demographic and socioeconomic changes.

    Original languageEnglish
    Pages (from-to)555-573
    Number of pages19
    JournalStatistics and Applications
    Volume22
    Issue number3
    Publication statusPublished - 2024

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • Statistics and Probability

    Fingerprint

    Dive into the research topics of 'Analysis of Spatial and Temporal Patterns in Deaths of Despair in the Appalachian Region of the United States'. Together they form a unique fingerprint.

    Cite this