ArticleSpatial and spatio-temporal epidemiology2019
Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan.
Article in Spatial and spatio-temporal epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.
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Who cites it
69 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Joint Spatial and Spatiotemporal Models in Health Research.International journal of environmental research and public health · 2023Pooled it
- Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
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- Association between air pollution exposure and multimorbidity among middle-aged and older adults in China: a cross-sectional study.Scientific reports · 2026Article
- District-Level Dengue Early Warning Prediction System in Bangladesh Using Hybrid Explainable AI and Bayesian Deep Learning.Tropical medicine and infectious disease · 2026Article
- Observational
- An ecological cascade links climatic variability to avian irruptions and zoonotic salmonellosis outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Spatial variability in the association of ambient PMEnvironment international · 2026Article
- BCGLMs: Bayesian modeling for disease prediction using compositional microbiome features.Bioinformatics advances · 2026Article
- Assessing the impact of neighborhood structures in Bayesian disease mapping.Journal of applied statistics · 2026Article
- Doubly regularized generalized linear models for spatial observations with high-dimensional covariates.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025Article
- Spatio-temporal quasi-experimental methods for rare disease outcomes: the impact of reformulated gasoline on childhood haematologic cancer.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025Article
- The impact of socioeconomic factors on the incidence and characteristics of first-episode psychosis.Epidemiology and psychiatric sciences · 2025Article
- Assessing the impact of waste co-incineration at the Anhovo cement plant (Slovenia) on the regional cancer burden.Radiology and oncology · 2025Article
- Inequality in mortality risk of older adults between rural and urban areas exposure to temperature variations in China.BMC public health · 2025Article
- Revisiting the link between COVID-19 incidence and infection fatality rate during the first pandemic wave.Scientific reports · 2025Article
- Bayesian compositional generalized linear mixed models for disease prediction using microbiome data.BMC bioinformatics · 2025Article
- Bayesian spatiotemporal modelling and mapping of malaria risk among children under five years of age in Ghana.BMC infectious diseases · 2025Article
9 more citing papers are in PubMed but not listed here.
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6 authors.
Funding
Abstract
This report presents a new implementation of the Besag-York-Mollié (BYM) model in Stan, a probabilistic programming platform which does full Bayesian inference using Hamiltonian Monte Carlo (HMC). We review the spatial auto-correlation models used for areal data and disease risk mapping, and describe the corresponding Stan implementations. We also present a case study using Stan to fit a BYM model for motor vehicle crashes injuring school-age pedestrians in New York City from 2005 to 2014 localized to census tracts. Stan efficiently fit our multivariable BYM model having a large number of observations (n=2095 census tracts) with small outcome counts < 10 in the majority of tracts. Our findings reinforced that neighborhood income and social fragmentation are significant correlates of school-age pedestrian injuries. We also observed that nationally-available census tract estimates of commuting methods may serve as a useful indicator of underlying pedestrian densities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.