Geographic Information Systems for Public Health - 5th Edition

Geographic Information Systems (GIS) are increasingly used in public health to explore the associations between population health, places, and the social and physical environment.

In this course we will cover the most relevant methods and GIS tools utilized in public health and epidemiology for mapping and analyzing geographic patterns of health events, investigate health inequalities, human-environment interactions, and environmental risk factors.

08/11/2024 - 23/11/2024

Friday afternoons and Saturday mornings

Deadline for registration

Obs.:Reduced fee applies to ISPUP students and collaborators, public health internship medical doctors and students and alumni from the University of Porto, upon presentation of the respective proof to the email

It is expected that at the end of the course the students will be able to:

-Understand the importance of GIS and geographic thinking in the understanding of public health problems;
-Comprehend key concepts of cartography, thematic mapping, and distinguish different types of spatial data;
-Collect, georeference, and manage geographic data for public health practice and research;
-Integrate health and geographical data for epidemiological studies and health risk assessment;
-Measure geographical accessibility to healthcare and other facilities;
-Visualize and characterize geographical patterns of health events, population, and environmental data.

The course is targeted at researchers, post-graduation students, physicians, public health practitioners, environmental health specialists, geographers, and any person who wants to use GIS in the understanding of human-environment interactions.

Participant Limit:
sem limite
Registration Fee:
Reduced fee:
Ana Isabel Ribeiro
Geographic Information Systems for Public Health - 5th Edition
24 hours
English (portuguese, if all the participants are portuguese speakers)
Course format
not applicable
Contact information
Level of difficulty
not applicable
Participant data
Billing data
Normal fee: Reduced fee: