Traditional healer in Uganda
CSAP scientists are developing scalable, transferable methodologies that quantitatively and qualitatively link high-resolution socio-economic, health, and behavioral data with geophysical data from global climate and mesoscale weather models to better understand the complex interactions among climate processes, ecosystems, and health.
This research focuses on:
- Determining appropriate multi-level, multi-disciplinary strategies to reduce negative health outcomes in the face of meteorological variability and climate change
- Developing novel approaches to better understand the complex relationships between climate and ecosystems
- Educating the next generation of researchers in these complex, interwoven areas
Work has focused in multiple areas thus far, for example:
- Determining population vulnerability to extreme heat in major cities such as Phoenix, Arizona, Houston, Texas and Toronto, Canada
- Understanding human–environmental interaction to reduce risk for dengue fever in the United States and Mexico
- Forecasting onset of rainy season in northern Ghana to help target vaccination dissemination
- Researching emissions, air quality, climate, and cooking technologies In Northern Ghana
- Training traditional healers in the West Nile region of Uganda to enhance surveillance for plague
- Predicting human West Nile virus outbreaks in the United States using meteorological and land use data
- Modeling the historical and future seasonality of Lyme disease based on meteorological variables.