|
Activity Number:
|
462
- Novel Spatial and Spatio-Temporal Models in Public Health
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 6, 2020 : 10:00 AM to 2:00 PM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
|
Abstract #313127
|
|
|
Title:
|
A Bayesian Spatio-Temporal Abundance Model for Surveillance of the Opioid Epidemic
|
|
Author(s):
|
David Kline* and Lance Waller and Staci Hepler
|
|
Companies:
|
Ohio State University and Emory University and Wake Forest University
|
|
Keywords:
|
opioid;
surveillance;
Bayesian;
spatio-temporal;
abundance
|
|
Abstract:
|
The opioid epidemic continues to be a national public health crisis. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to policy-making and resource allocation. This is due in part to the challenge of directly measuring opioid misuse in the population. Our approach utilizes existing county level surveillance data that quantifies outcomes related to opioid misuse and thus provides indirect information on misuse at the county level. Using a spatio-temporal abundance model framework, we integrate county level rates of opioid overdose deaths and treatment admissions with state level survey data on rates of opioid misuse to estimate county level rates of misuse. We investigate the performance of the proposed model via simulation and apply it to data from the state of Ohio.
|
Authors who are presenting talks have a * after their name.
