Highlights



2024 CSMAPS Symposium


CSMAPS recently hosted a successful symposium on Spatial-Temporal Data Science for Population Health at UTHealth Houston. The event, held on March 1, 2024, brought together leaders, experts, and enthusiasts to discuss innovative research and applications in this cutting-edge field. Highlights included keynote speeches from distinguished professionals such as Eric Boerwinkle, PhD, Dean of UTHealth Houston School of Public Health, and presentations on geospatial analysis, SARS-CoV-2 variant tracking, and public health policy. The symposium fostered meaningful connections and collaborative opportunities, advancing the field of spatial-temporal data science...

March

2024

2024 Symposium on Spatial-Temporal Data Science for Population Health


New Center CSMAP is Here!


The Center for Spatial-temporal Modeling of Applications in Population Sciences (CSMAPS) seeks to pioneer a new frontier in public health research by focusing on the development and application of spatial-temporal data science. Leveraging the unique strength of spatial-temporal modeling, CSMAPS aims to elucidate hidden patterns and dynamics within public health data and transcend disciplinary boundaries, providing crucial insights across a myriad of public health fields.

MAY

2023

Center for Spatial-temporal Modeling for Applications in Population Sciences (CSMAPS)


New CPRIT Research Funding


MPIs Bauer (UTHealth) and Nelson (MD Anderson) received a 5-year CPRIT research project grant. The project aims to use a data-driven approach to create statistical models that predict areas potentially having high rates of late-stage melanomas in the future and identify multi-level factors associated with late-stage melanoma diagnoses in Texas. The initiative plans to identify PCPs in high melanoma burden areas interested in learning about skin cancer, deploying a multimodal educational intervention program tailored to each community's social and patient context.

FEB

2023

Geospatial Approaches to Melanoma Early Detection - The GAMED Project




New NIH Research Funding


MPIs Fernandez, McPherson, Reininger, Fujimoto, Bauer and McGaha from UTHealth received an NIH grant to understand factors associated with rapid SARS-CoV-2 testing through a mixed methods study (Aim 2a) and to adapt intervention messages, materials, and strategies to increase relevance, intensity, and reach. The project includes a broader focus on addressing the social determinants of health (SDOH) experienced by the communities, with special emphasis on combating misinformation. The initiative expands outreach and education topics due to the particular vulnerability of the communities involved and their diverse service needs.

OCT

2022

Addressing COVID-19 Testing Disparities in Vulnerable Populations in Texas


New NIH Research Funding


MPIs Bauer (UTHealth) and Stopka (Tufts) received a 5-year NIH R01 grant. This project utilizes a statewide Public Health Data Warehouse with numerous linked administrative datasets to identify current opioid overdose patterns, predict future opioid overdose epidemics, and evaluate the effectiveness of various public health and clinical interventions.

MAY

2022

Predict to Prevent: Dynamic Spatiotemporal Analyses of Opioid Overdose to Guide Pre-emptive Public Health Responses


NIH CCIS Award


Bauer was awarded the National Institute of Health (NIH) 2021 Consortium for Cancer Implementation Science (CCIS) Development of Public Goods Awards.As a relatively new group, the consortium was created in 2019 to encourage collaboration and plans to address key challenges and advances in implementation science, specifically focused on cancer research.

JAN

2022

Bauer received Award from NIH Consortium for Cancer Implementation Science

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Congratulations!

Jiachen!

NOV

2021

Preliminary Exam Awards

To our team member Jiachen Lu