Geohealth is the integration of geographic information, technologies and spatial concepts with epidemiology.

Health and disease is complex and requires a dynamic approach to understanding the drivers behind the patterns that we see.  Geospatial technologies and GiScience play a vital role in visualizing where and when diseases occur in space and time, providing context and helping us understand why they may be prevalent, who may be affected and how to potentially address the problem.

Here at ITC we have developed a collaborative research and learning environment that enables us to address a variety of health and disease issues all over the world. For more information on what we have done and how geospatial technologies and data can be used for geohealth see publications.

The Team

Research is lead by our scientific staff listed below:

Justine Blanford

Spatial Analysis/data science/geocomputational modeling; spatial and temporal analysis; changing risk; perception of risk; mobility; social media and non-traditional geospatial data; host-pathogen interactions across space and time; accessibility to healthy environments; accessibility to healthcare; mobility. Education: online education; education for geohealh. View website | Send an e-mail: [email protected]

Alfred Stein

Spatial and spatio-temporal statistics; image analysis; Bayesian statistics; hospital analysis; air quality. View website | Send an e-mail: [email protected]

Sherif Amer

Access and Accessibility, Health Seeking Behavior, Health Inequalities, Community Health Profiling, Environmental Health Risks. View website | Send an e-mail: [email protected]

Carmen Anthonj

Water and health; water, sanitation and hygiene (WASH); SDG 6; water-related health risks; water-related infectious diseases exposure and prevention; impact of extreme weather events and emergencies on WASH infrastructure and health service provision; health-seeking behaviour; health inequalities; cultural context of health; local health-related knowledge, risk perceptions and impact on behaviour; use of data to inform decision-making; health-related policy and practice; mixed methods and triangulation of data; community research; science-policy interface. View website | Send an e-mail: [email protected]

Ellen-Wien Augustijn

Spatial analysis, agent-based modeling, machine learning; Spatio-temporal analytics and modelling. View website | Send an e-mail: [email protected] 

Raul Zurita Milla

Analysis of GIS, EO and crowdsourced data using data mining and machine learning approaches + a strong interest in big and open geodata science; Spatio-temporal analytics and modelling. View website | Send an e-mail: [email protected]

Frank Osei

Spatial statistics, spatial epidemiology (including cluster detection and analysis, disease mapping, geographic correlation studies). View website | Send an e-mail: [email protected]