Capture-Recapture

A spatial capture-recapture approach for estimating opioid use disorder prevalence in small areas using administrative data
Working Paper
Jianing Wang, Shariq Mohammed, Laura F. White, David Kline
Massachusetts prevalence of Opioid Use Disorder estimation revisited: Comparing a Bayesian approach to standard capture-recapture methods
Working Paper abstract Accurate estimation of the prevalence of people with opioid use disorder (OUD) is critical to the success of treatment and resource planning. Various indirect estimation approaches have been used but are subject to issues related to data availability and infrastructure.
Jianing Wang, Nathan Doogan, Katherine Thompson, Dana Bernson, Daniel Feaster, Jennifer Villani, Redonna Chandler, Laura F. White, David Kline, Joshua A. Barocas
On the estimation of population size – A comparison of capture-recapture and multiplier-benchmark methods
Working Paper
Jianing Wang, David Kline, Laura F. White
The prevalence of opioid use disorder in Kentucky’s counties: A two-year multi-sample capture-recapture analysis
abstract Background Kentucky has one of the highest opioid overdose mortality rates in the United States. Accurate estimates of people with opioid use disorder (OUD) are critical to plan for the scope of interventions required to reduce overdose and opioid misuse.
Katherine Thompson, Joshua A Barocas, Chris Delcher, Jungjun Bae, Lindsey Hammerslag, Jianing Wang, Redonna Chandler, Jennifer Villani, Sharon Walsh, Jeffery Talbert
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A Spatial Capture-Recapture Approach for Estimating Opioid Use Disorder Prevalence in Small Areas Using Administrative Data
We propose a two-stage Bayesian hierarchical model with spatial smoothing using a capture-recapture data structure to estimate community-specific opioid use disorder (OUD) prevalence. We explicitly model the hidden prevalence of interest and the associated detection model that describes individual detection histories across data sources.
Sep 30, 2022
A Spatial Capture-Recapture Approach for Estimating Opioid Use Disorder Prevalence in Small Areas Using Administrative Data
Population size estimation methods using incomplete disease surveillance data
We used multiple individually linked administrative health data to compare the results of stratified capture-recapture analysis and Bayesian multiplier benchmark analysis to estimate OUD prevalence in the Massachusetts population.
Jun 30, 2022
Population size estimation methods using incomplete disease surveillance data
Estimated prevalence of opioid use disorder in Massachusetts, 2011–2015: a capture–recapture analysis
abstract Objectives. To estimate the annual prevalence of opioid use disorder (OUD) in Massachusetts from 2011 to 2015. Methods. We performed a multisample stratified capture–recapture analysis to estimate OUD prevalence in Massachusetts.
Joshua A Barocas, Laura F White, Jianing Wang, Alexander Y Walley, Marc R LaRochelle, Dana Bernson, Thomas Land, Jake R Morgan, Jeffrey H Samet, Benjamin P Linas
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