A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Opioid-related deaths have severely increased since 2000 in the United States. This crisis has been declared a public health emergency, and among the most affected states is Ohio. We used statewide vital statistic data from the Ohio Department of Health (ODH) and demographics data from the U.S. Cens...

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Bibliographic Details
Published in:Scientific reports 2021-02, Vol.11 (1), p.4692-9, Article 4692
Main Authors: Park, Chihyun, Clemenceau, Jean R., Seballos, Anna, Crawford, Sara, Lopez, Rocio, Coy, Tyler, Atluri, Gowtham, Hwang, Tae Hyun
Format: Article
Language:English
Subjects:
692/700/478/174
692/700/478/2772
Adult
Analgesics, Opioid - adverse effects
Cardiovascular diseases
Census
Comorbidity
Demographics
Demography
Drug abuse
Drug Overdose - mortality
Emergency Service, Hospital
Fatalities
Female
Humanities and Social Sciences
Humans
Male
Middle Aged
Mortality
multidisciplinary
Narcotics
Ohio - epidemiology
Opioids
Public health
Rural areas
Science
Science (multidisciplinary)
Spatio-Temporal Analysis
Statistical analysis
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Summary:Opioid-related deaths have severely increased since 2000 in the United States. This crisis has been declared a public health emergency, and among the most affected states is Ohio. We used statewide vital statistic data from the Ohio Department of Health (ODH) and demographics data from the U.S. Census Bureau to analyze opioid-related mortality from 2010 to 2016. We focused on the characterization of the demographics from the population of opioid-related fatalities, spatiotemporal pattern analysis using Moran’s statistics at the census-tract level, and comorbidity analysis using frequent itemset mining and association rule mining. We found higher rates of opioid-related deaths in white males aged 25–54 compared to the rest of Ohioans. Deaths tended to increasingly cluster around Cleveland, Columbus and Cincinnati and away from rural regions as time progressed. We also found relatively high co-occurrence of cardiovascular disease, anxiety or drug abuse history, with opioid-related mortality. Our results demonstrate that state-wide spatiotemporal and comorbidity analysis of the opioid epidemic could provide novel insights into how the demographic characteristics, spatiotemporal factors, and/or health conditions may be associated with opioid-related deaths in the state of Ohio.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-83544-y