Health · Geography · Space · Time · Model
Understanding health in space and time.
I develop Bayesian spatiotemporal models and open-source software to understand the distribution and dynamics of health outcomes across space and time.
Chao Song / 宋超BSTVC· Health & Medical Geography
Latest Updates
View all updatesBlogBSTVC: Bayesian Spatiotemporal Interpretable AnalysisNewsSpatiotemporal disparities in maternal mortality and the role of multiscale administrative levelsPublicationSpatiotemporal disparities in maternal mortality and the role of multiscale administrative levelsNewsMedical Resource Allocation Efficiency in Small AreasPublicationMedical Resource Allocation Efficiency in Small AreasNewsSpatial joint hazard assessment of landslide susceptibility and intensity within a single framework
BSTVC Ecosystem
Open-source R tools and methods for Bayesian spatiotemporal modeling and spatial epidemiology.
Research Areas
Health geography, spatial epidemiology, Bayesian modeling, and uncertainty quantification.
Publications
Peer-reviewed methodological contributions, applications, and interdisciplinary collaborations.
Resources
Research data, software, documentation, cases, and materials for learning and reuse.
News & Blogs
Updates on research, software, publications, collaborations, and academic activities.
Global PerspectiveUnderstanding health across places and populations.
Methodological RigorBayesian statistics for complex spatiotemporal data.
Open ScienceOpen-source tools for reproducible research.
InterdisciplinaryBridging geography, statistics, computing, and health.
ImpactTurning data into insight for better health outcomes.