The talk reviews the experience in design and implementation of the project to aid public health decision making using geographical data of patients with Covid-19, developed by the Information Management and Health Statistics Office of the City of Buenos Aires.
Buenos Aires, a very heterogeneous city in terms of population density and social stratification, with a corresponding geographic correlation, presented unique challenges to this effort. Aspects related to the specificity of the difficulties of georeferencing people in general and in the 2020 healthcare context, the technical problems encountered in the process and their resolution, as well as the role of free and open source software tools that allowed the success of the project will be reviewed.