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Spatio-Temporal Analysis of Premature Mortality Trends in the United States

Authors:
Yelena Ogneva-Himmelberger

Keywords: GIS; Spatial and spatio-temporal statistics; trend analysis; health; premature mortality

Abstract:
This paper applies geospatial data analytics to explore trends in premature mortality in the United States. Premature mortality, or Years of Potential Life Lost (YPLL), is one of the public health measures that focuses on deaths that happened at younger ages (before the age of 75 years) and thus could have been prevented. We used publicly available YPLL data for 2005-2016 for 3080 United States counties with spatio-temporal data mining tools in Geographic Information Systems (GIS) software to create a space-time cube and to find temporal trends in this measure. Our preliminary results indicate that 22% of counties experienced a statistically significant upward trend in YPLL, 24% experienced a statistically significant downward trend, and the remaining 54% did not experience any monotonic trend in YPLL measure. These findings can help county-level department of public health with developing targeted interventions to reverse upward trends in YPLL measure.

Pages: 61 to 63

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-762-7

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020