Publications and presentations

Peer-reviewed Publications

  • Bauer C, Zhang K, Li W, Bernson D, Dammann O, LaRochelle MR, Stopka TJ. Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach. 2023. JMIR Public Health and Surveillance 9, e41450. DOI: 10.2196/41450
  • Stopka TJ, Larochelle MR, Li X, Bernson D, Li W, Ackerson LK, Bayly R, Dammann O, Bauer C. Opioid-Related Mortality: Dynamic Temporal and Spatial Trends by Drug Type and Demographic Subpopulations, Massachusetts, 2005-2021. 2023. Drug and Alcohol Dependence. DOI: 10.1016/j.drugalcdep.2023.109836
  • Bauer C, Hassan G, Bayly R, Cordes J, Bernson D, Woods C, Li X, Li W, Ackerson L, Larochelle MR, Stopka TJ. Trends in fatal opioid-related overdose in American Indian/Alaska Native Communities 1999-2021. 2024. Am J Prev Med. DOI: 10.1016/j.amepre.2024.01.019
  • Bayly R, Cordes J, Bernson D, Ackerson L, Larochelle M, Dammann O, Hassan G, Bauer C, Stopka T. Predicting Fatal Opioid-Related Overdoses: A Social-Ecological Framework Matched to a Linked-Data Warehouse. 2024. International Journal of Drug Policy (under review).

Presentations

American Public Health Association Conference, October 2024, abstracts to be presented:

  • Bauer, C, Li X, Hassan G, Zhang K, Bernson D, Bayly R, Li W, Ackerson L, Cordes J, Stopka T. Bayesian Zero, Bayesian zero-inflation spatial-temporal modeling for opioid-related overdose hotspot identification in Massachusetts using EMS data.
  • Hassan G, Zheng J, Bauer C. Utility of Bayesian zero-inflated spatial-temporal models in analyzing suppressed data in protected public health data.
  • Cordes J, Bauer C, Li W, Bernson D, Larochelle M, Ackerson L, Dammann O, Bayly R, Hassan G, Stopka T. All-payer claims databases pre- and post-Gobeille Supreme Court decision: Assessing representativeness and impacts on fatal opioid-related overdose analyses in Massachusetts.
  • Stopka T, Bayly R, Cordes J, Ackerson L, Castiel M, Bernson D, Larochelle M, Li W, Dammann O, Bauer C. Community-engaged research for developing Bayesian spatiotemporal forecasts of opioid-related overdose events in Massachusetts.
  • Cordes J, Bauer C, Li W, Bernson D, Larochelle M, Ackerson L, Bayly R, Dammann O, Hassan G, Stopka T. Importance of the spatial unit in cluster analysis of address-level opioid-related incident data.