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 News
View all newsBlogsBSTVC: Bayesian Spatiotemporal Interpretable AnalysisResourcesChina's first complete socioeconomic official statistics dataset (county-level, 2002-2011)NewsSpatiotemporal disparities in maternal mortality and the role of multiscale administrative levelsPublicationsSpatiotemporal disparities in maternal mortality and the role of multiscale administrative levelsNewsMedical Resource Allocation Efficiency in Small AreasPublicationsMedical Resource Allocation Efficiency in Small Areas
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.
Blogs
Long-form research notes, science communication, methods, and reflections.
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.