8th International Summer School: Spatial Epidemiology, Climate and Health
Location: Bielefeld University, Germany
The International Summer School Programme “Spatial Epidemiology, Climate and Health: Concepts and Modelling, Strategies” is combined with the wellestablished course on infectious disease epidemiology (IDE).
Participants will be working with the statistical software R (http://www.r-project.org). Participants will be working with the statistical software R (http://www.rproject.org). Basic knowledge on R is recommended, but not an exclusion criterion. For preparation you may consider taking a free online course to learn R (e.g. https://www.coursera.org/learn/r-programming)
Furthermore, there will be a two-hour introductory course into GIS prior to the spatial statistical lectures with QuantumGIS (http://qgis.org).
Our participants will be enabled
- to understand the (spatial) epidemiology of health outcomes in relation to a changing climate
- to review concepts of population projection, epidemiological and demographical transitions
- to analyse health outcomes in low-income countries
- statistical techniques (i.e. multivariable regression analysis)
- spatial statistical techniques (i.e. autocorrelation analysis, disease and exposure mapping)
- spatial-epidemiological modelling techniques
(multivariable regression models that control for
spatial dependencies in the data)
- to work more effectively in collaboration with other disciplines for investigating multidisciplinary problems to develop sustainable strategies for the improvement of living conditions in developing countries.
All participants who successfully complete the programme will be awarded a certificate to be used for further qualification in the relevant fields. In addition 3 ECTS points are provided on demand.
- Geographic Information Systems (GIS) and geospatial analyses
- Epidemiological methods, bias and confounding
- Health statistics
- Statistical, geo-statistical and spatialepidemiological modelling (basic regression models, generalized mixed models, accounting for spatial dependencies)
- Climate change and infectious diseases
- Modelling the health impact of a changing environment
Enrolment is open for
Participants coming from scientific or applied fields (e.g. public health, geography, statistics, medicine, ecology, planning and politics) who are interested in challenges of climate change and spatial epidemiology, particularly in developing countries.
The course addresses spatial-epidemiological approaches in the light of global climate change. We focus on state-of-the-art statistical and spatial statistical modelling to health outcomes and associations with socio-ecological factors in the developing world.
We combine theoretical and labwork on statistical analysis and spatial-epidemiological modelling techniques in a trans-disciplinary approach.
The course comprises conceptual and topic specific lectures, computer classes, individual consultation and assignments. Teaching language is English.
The tuition of enrolment for the International Summer School is 500/300 Euro. Postgraduate or doctoral students and participants from developing countries pay the lower fee. The tuition includes instruction, course materials, and the use of computer centre facilities.
The number of participants is restricted to 30 persons. You are encouraged to bindingly apply as soon as possible including payment of the tuition fee.
University of Bielefeld
School of Public Health
P.O. Box 100131, Universitätsstr. 25
D-33501 Bielefeld, Germany