Interested in learning how GIS and Earth Observation data and geospatial technologies can be used for better understanding health risks and outcomes?
Work through this book to develop the critical geospatial skills and build the knowledge you need for tackling a variety of different health challenges. Each chapter ends with an activity that integrates GIScience theory with disease and health analysis. Not only will you be developing the necessary GIS skills but also the relevant data science skills.
Geographic information and geospatial technologies: applicability for health and disease
Epidemiology of disease
Statistics, analysis and visualizations
Disaster Epidemiology. Health Emergencies and Hazard Considerations: surveillance to communication
Data in a nutshell: Geospatial data, structuring data, managing data and ethics
Health and disease in dynamically changing environments: mapping and modelling vector borne diseases
Clustering of health risks: Global to Local
Accessibility Methods: Spatial accessibility to health services and essential health care
Geographic Information for Planetary Health action
Note - this text is used in the courses that I teach.
Interested in learning how to integrate geographic information and apply spatial methods to health and disease?
Join this 10-week course to learn more.
contact: j.i.blanford@utwente.nl
GeoHealth aims to give students comprehensive knowledge and skillsets to critique and address a range of global health issues. Students will be introduced to a variety of topics and concepts centred around how geo-spatial information and technologies can be used for addressing health and disease. Three main facets of public health will be covered:
health risk – understanding where and when risks are and who may be affected;
health response & services – examining accessibility to healthcare and inequalities; and
health communication & decision making – communicating risks and the role of digital information and tools in providing information and aiding the decision-making process that includes data structures and ethics.
All journal articles relevant for the lessons will be provided each week.
Must have: The following sources are useful and will be referenced in the first few lessons.
Blanford, J.I. (2024) Geographic information, geospatial technologies and spatial data science for health. Pp376. CRC Taylor & Francis. https://www.routledge.com/Geographic-Information-Geospatial-Technologies-and-Spatial-Data-Science-for-Health/Blanford/p/book/9781032563565
Additional texts used (free).
Bonita, R., R. Beaglehole & T. Kjellstrom. 2006. Basic epidemiology. World Health Organization (WHO). http://apps.who.int/iris/bitstream/10665/43541/1/9241547073_eng.pdf (also available in other languages https://apps.who.int/iris/handle/10665/43541 - Polish, Italian, Persian, German, Portuguese, Swedish, Chinese, Japanese, Vietnamese)
CDC. 2012. Principles of Epidemiology in Public Health Practice. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. http://www.cdc.gov/ophss/csels/dsepd/SS1978/SS1978.pdf
WHO. 2021 WHO Guidance on research methods for health emergency and disaster risk management. https://apps.who.int/iris/handle/10665/345591
Blanford et al., (2024) Geospatial for Planetary health. https://www.geoversity.io/courses/geospatial-planetary-health/
Makanga, P. T. (2021) Practicing Health Geography: The African Context. 1st ed. Global Perspectives on Health Geography. Cham: Springer Nature. doi:10.1007/978-3-030-63471-1 Practicing Health Geography: The African Context | SpringerLink
Optional:
Spillover. David Quammen
Cromley & McLafferty. GIS and Public Health.
During the course students will be introduced to different spatial analysis methods and spatial concepts useful for the analysis of health and disease. These include the collection and use of spatial data from a variety of sources of variable quality, identifying disease clusters and hotspots, mapping disease prevalence and understanding where, when and why disease incidences may be occurring and who may be affected.
Geo+Health – integrating epidemiology with mapping
Data: why spatial data is special and ethical considerations
Vector-borne disease and ecology
Statistics and data visualizations
Spatial disease clustering
Health facilities: accessibility and what this means for risk
Disasters + Health: Communicating through visualizations and interactive web maps
Mini symposium of project presentations
justine blanford GIS Geography GIScience Health Disaster planetary health geohealth vaccination malaria geoAI klass geographic information medicine measles cholera flood heat temperature WASH bicycle accessibility earth observation remote sensing UAV drones worms parasite mental health education python esri arcgis geoda arcgispro geospatial spatial data rainfall green spaces