Detecting spatiotemporal clusters of dementia mortality in the United States, 2000-2010

Spat Spatiotemporal Epidemiol. 2018 Nov:27:11-20. doi: 10.1016/j.sste.2018.07.001. Epub 2018 Jul 19.

Abstract

Based on national death certificate data during 2000 and 2010, we employed the space-time scan statistic to identify spatiotemporal clusters of dementia mortality in the contiguous United States. Results revealed that, for both Alzheimer's disease and all-cause dementia mortality in the total population, the most likely clusters occurred in the Northeast region, with lower than average relative risk. The most likely excess mortality clusters were in the Pacific Northwest and Ohio River Valley and Carolinas. Temporal information of clusters suggested reduction in the relative risk of Alzheimer's disease and all-cause dementia mortality in most of the highly likely clusters. The results should propel public health agencies to evaluate the capacity of local health and social care to meet dementia patients' needs before death in the high-risk cluster areas. Further investigation of causal factors of these clusters is needed.

Keywords: Clustering; Dementia mortality; Scan statistics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Alzheimer Disease / microbiology*
  • Alzheimer Disease / mortality*
  • Causality
  • Dementia / mortality*
  • Female
  • Humans
  • Male
  • Mortality
  • Needs Assessment
  • Risk Assessment
  • Risk Factors
  • Space-Time Clustering
  • Spatio-Temporal Analysis
  • United States / epidemiology