R for geospatial data science and public health surveillance

💡Join us as we learn about Geospatial with R👇🏻

Geospatial health data are essential to inform public health and policy. These data can be used to understand geographic and temporal patterns, identify risk factors, measure inequalities, and quickly detect outbreaks.

In this talk, Dr. Moraga will provide an overview of R packages and statistical methods for geospatial data analysis and health surveillance. She will discuss data biases and availability issues, and present health surveillance applications where R has been used to develop models that can integrate complex data from different sources and resolutions to predict disease risk and identify targets for intervention.

Finally, she will show how R can help with communication and dissemination which is essential to enable broad access to data and to develop and implement appropriate health policies and improve population health globally.