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

Abstract 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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chihyun Park, Jean R. Clemenceau, Anna Seballos, Sara Crawford, Rocio Lopez, Tyler Coy, Gowtham Atluri, Tae Hyun Hwang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/68af32402c3f45be9e3c3f14c5d194b3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:68af32402c3f45be9e3c3f14c5d194b3
record_format	dspace
spelling	oai:doaj.org-article:68af32402c3f45be9e3c3f14c5d194b32021-12-02T13:20:22ZA spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 201610.1038/s41598-021-83544-y2045-2322https://doaj.org/article/68af32402c3f45be9e3c3f14c5d194b32021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83544-yhttps://doaj.org/toc/2045-2322Abstract 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.Chihyun ParkJean R. ClemenceauAnna SeballosSara CrawfordRocio LopezTyler CoyGowtham AtluriTae Hyun HwangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chihyun Park Jean R. Clemenceau Anna Seballos Sara Crawford Rocio Lopez Tyler Coy Gowtham Atluri Tae Hyun Hwang A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
description	Abstract 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.
format	article
author	Chihyun Park Jean R. Clemenceau Anna Seballos Sara Crawford Rocio Lopez Tyler Coy Gowtham Atluri Tae Hyun Hwang
author_facet	Chihyun Park Jean R. Clemenceau Anna Seballos Sara Crawford Rocio Lopez Tyler Coy Gowtham Atluri Tae Hyun Hwang
author_sort	Chihyun Park
title	A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
title_short	A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
title_full	A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
title_fullStr	A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
title_full_unstemmed	A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016
title_sort	spatiotemporal analysis of opioid poisoning mortality in ohio from 2010 to 2016
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/68af32402c3f45be9e3c3f14c5d194b3
work_keys_str_mv	AT chihyunpark aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT jeanrclemenceau aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT annaseballos aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT saracrawford aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT rociolopez aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT tylercoy aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT gowthamatluri aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT taehyunhwang aspatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT chihyunpark spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT jeanrclemenceau spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT annaseballos spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT saracrawford spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT rociolopez spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT tylercoy spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT gowthamatluri spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016 AT taehyunhwang spatiotemporalanalysisofopioidpoisoningmortalityinohiofrom2010to2016
_version_	1718393216731971584

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

Ejemplares similares