CIDACS Lab

Data, tools, and resources for the CIDACS Climate and Environmental Platform (CIDACS-Clima), supporting research on climate, environmental exposures, and health in Brazil.

To map and provide the main characteristics of the datasets in AESOP project

Code and data for MMAING-Arbo, a Mixed Model of Artificial Intelligence and Next-Generation that performs anomaly detection in time series data.

A common data model of pregnancy Infectious Diseases with real-world data from the Global South

Code and data used in the study "An integrated framework for modeling respiratory disease transmission and designing surveillance networks using a sentinel index". This is part of the AESOP initiative (http://aesop.health).