projects | Tao Hu

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Using socioeconomic, behavioral and environmental data to understand disease dynamics-exploring COVID-19 outcomes in Oklahoma

This project aims to develope data sources and mathematical models that can be used to explore COVID-19 outcomes in Oklahoma.

Integrating Wastewater Surveillance and Human Behavior to Decode Epidemiological Patterns

This project aims to enhance mathematical epidemiological modeling by integrating human behavioral data with wastewater surveillance data, creating a more comprehensive and timely approach to outbreak detection and response.

Leveraging Generative Artificial Intelligence (AI) for Automated Climate Resilience Dashboards

This project aims to transform climate resilience efforts by developing and automating dashboards with cutting-edge generative pre-trained transformer (GPT) tools.

Developing and Integrating Pathogen Monitoring Platform

This project seeks to develop a comprehensive pathogen monitoring platform designed to track, detect, and analyze the presence of harmful pathogens in various environments. By integrating advanced technologies such as real-time data collection, machine learning algorithms for detection, and geospatial analytics, the platform will provide timely insights into pathogen trends and spread patterns.

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Building Sustainable Rural Healthcare Services

This project aims to leverage mobile wellness units to increase healthcare service accessibility in rural Oklahoma.

Understanding longitudinal mental well-being in the era of “post-pandemic” with a focus on social connectedness

This project aims to understanding longitudinal mental well-being using mixed methods in the era of “post-pandemic” with a focus on social connectedness.