This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (188) Surveillance Systems (514) Clinical Information and Decision Making (1915) Clinical Informatics (1325)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41450, first published .
Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach

Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach

Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach

Authors of this article:

Cici Bauer1 Author Orcid Image ;   Kehe Zhang1 Author Orcid Image ;   Wenjun Li2 Author Orcid Image ;   Dana Bernson3 Author Orcid Image ;   Olaf Dammann4, 5 Author Orcid Image ;   Marc R LaRochelle6, 7 Author Orcid Image ;   Thomas J Stopka4, 8, 9 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Gezer F, Howard K, Litwin A, Martin N, Rennert L. Identification of factors associated with opioid-related and hepatitis C virus-related hospitalisations at the ZIP code area level in the USA: an ecological and modelling study. The Lancet Public Health 2024;9(6):e354 View
  2. Srinivasan S, Pustz J, Marsh E, Young L, Stopka T. Risk factors for persistent fatal opioid-involved overdose clusters in Massachusetts 2011–2021: a spatial statistical analysis with socio-economic, accessibility, and prescription factors. BMC Public Health 2024;24(1) View
  3. Rennert L, Gezer F, Jayawardena I, Howard K, Bennett K, Litwin A, Sease K. Mobile health clinics for distribution of vaccinations to underserved communities during health emergencies: A COVID-19 case study. Public Health in Practice 2024;8:100550 View
  4. Cadet K, Desjardins M, Morrison C, Martins S. Leveraging spatiotemporal Bayesian analysis to unravel polysubstance use and overdose risk: Opportunities and challenges. Preventive Medicine Reports 2025;51:103012 View
  5. Zhang K, Cordes J, Bauer C, Stopka T, Shrestha S. Assessing Spatial and Temporal Variation in Opioid-Related Incidents and Risk Factors in Lowell, Massachusetts, from 2011 to 2022: A Bayesian Spatial-Temporal Approach. Substance Use & Addiction Journal 2025;46(3):675 View
  6. Heuton K, Kapoor J, Shrestha S, Stopka T, Hughes M. Spatiotemporal forecasting of opioid-related fatal overdoses: towards best practices for modeling and evaluation. American Journal of Epidemiology 2025;194(6):1776 View
  7. Myers J, Marks C, Kim J, Fareed N, Thomas N, Whitley P, Fernandez S. Generating Timely Estimates of Overdose Deaths for the US Using Urine Drug Test Data. JAMA Network Open 2025;8(6):e2514402 View