Event Description
David M. Kline, PhD,
Assistant Professor,
Department of Biostatistics and Data Science,
Wake Forest University School of Medicine, will present
"An integrated abundance model for estimating county-level prevalence of
opioid misuse in Ohio."
Dr. David Kline is an Assistant Professor in the Department of
Biostatistics and Data Science in the Division of Public Health Sciences at
Wake Forest University School of Medicine. He has a secondary appointment in
the Department of Epidemiology and Prevention and is Affiliate Faculty in the
Department of Statistical Sciences. His research is focused on developing biostatistical
methodology to overcome challenges in public health surveillance and address
key problems in population health and epidemiology. Specifically, I work on
developing multivariate Bayesian hierarchical models for spatio-temporal
disease mapping that leverage multiple sources of data to address complex,
difficult to measure social and epidemiological problems. Dr. Kline earned his
PhD in biostatistics from The Ohio State University.
Opioid misuse is a national epidemic and a significant drug-related threat
to the United States. 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 at a local level. To overcome
these challenges, we developed a Bayesian hierarchical spatio-temporal
abundance model that integrates indirect county-level data on opioid-related
outcomes with state-level survey estimates on prevalence of opioid misuse to
estimate the latent county-level prevalence and counts of people who misuse
opioids. |
