THE SPATIAL PREVALENCE AND ASSOCIATED FACTORS OF OPIOID OVERDOSE MORTALITY IN MILWAUKEE COUNTY, WISCONSIN (2003-2018)

Elsevier

Available online 26 August 2022, 100535

Spatial and Spatio-temporal EpidemiologyHighlights•

The opioid overdose mortality rate demonstrates significant spatial autocorrelation in Milwaukee County

The spatial lag model accounts for greater variation among social determinants of health and the opioid overdose mortality rate than the traditional ordinary least squares model

There is a significant global spillover effect of the opioid overdose mortality rate at the census tract level

Lower socioeconomic status and a prevalence of labor-intensive occupations significantly contribute to higher tract mortality rates

Abstract

Mortality from opioid overdose has become the leading cause of non-natural death in Milwaukee County, Wisconsin in recent years. In order to better understand the opioid epidemic and formulate pro-active responses to the crisis at the local level, this study examines the spatial prevalence and associated factors of opioid overdoses that end in mortality in Milwaukee, WI using the spatial econometrics model. The social determinants of health framework is used to identify the potential related socioeconomic factors associated with opioid use and misuse. Using principal component analysis, 6 primary components are identified from the chosen social determinants and used as explanatory variables in the spatial econometric analysis. The age-adjusted standardized mortality rate is calculated for each census tract as the dependent variable in the analysis. Overall low socioeconomic status, labor-intensive occupations, income inequality, and the 20–34-year-old age group are identified as variables with a significant contribution to high overdose mortality rates, both directly and indirectly. A significant global spillover effect is also identified at the census tract level, indicating the severity of the opioid epidemic in Milwaukee County. This study reveals the overall contribution that socioeconomic factors have on the opioid epidemic and their associated feedback effects, providing targeted information on the opioid epidemic.

Keywords

Opioid epidemic

Spatial econometrics

Overdose mortality

Global spillover

Data Availability

The authors do not have permission to share data.

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