Detecting spatiotemporal clusters of dementia mortality in the United States, 2000-2010. Spat Spatiotemporal Epidemiol 2018 Nov;27:11-20
Date
11/10/2018Pubmed ID
30409372DOI
10.1016/j.sste.2018.07.001Scopus ID
2-s2.0-85051132160 (requires institutional sign-in at Scopus site) 12 CitationsAbstract
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.
Author List
Xu W, Wu CAuthor
Wei Xu PhD Assistant Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AgedAlzheimer Disease
Causality
Dementia
Female
Humans
Male
Mortality
Needs Assessment
Risk Assessment
Risk Factors
Space-Time Clustering
Spatio-Temporal Analysis
United States
