10th International Summer School 2018: Spatial Epidemiology, Social Media, and Urban Health

10th International Summer School 2018: Spatial Epidemiology, Social Media, and Urban Health

Montag, 17. September 2018 - Freitag, 21. September 2018

Rudower Chaussee 16, 12489 Berlin
Rooms: 1'206 / 1'231

List of lecturers

  • Florian Fischer, PhD (University of Bielefeld)
  • Oliver Gruebner, Dr. rer. nat. (Humboldt-Universität zu Berlin, University of Zürich, CH)
  • Mobarak Hossain Khan, PhD (East West University, Dhaka, Bangladesh)
  • Alexander Krämer, MD, PhD (University of Bielefeld)
  • Sven Lautenbach, PhD (University of Heidelberg)
  • Sarah R. Lowe, PhD (Montclair State University, New York University, USA)

Date: September 17-21, 2018

Course language: English
Course fees: Students and PhD candidates: EUR 400, Others: EUR 600


The course is designed for researchers, public health professionals, epidemiologists, geographers, and clinicians familiar with solid knowledge of epidemiologic principles, and multivariable modeling.

The course addresses spatial epidemiological approaches to social media data with a focus on urban health. We concentrate on state-of-the-art multivariable statistical and spatial statistical modeling to health outcomes as identified in geo-located Twitter data and associations with socioecological factors of urban contexts.
We combine theoretical and lab work on statistical analysis and spatial-epidemiological modeling techniques in an interdisciplinary approach.
The summer school Spatial Epidemiology and Urban Health is attracting participants due to its interdisciplinary character. Combining the scientific approaches of the discipline of geography with its genuine focus on space with those of epidemiology, biostatistics and the public health sciences makes it possible and fruitful for the participants to deal with spatial dimensions of health. Some of 3 the summer school faculty has long-lasting cooperation demonstrated by joint publications in the field of urban and megacity health.
Participants will be working with the statistical software R (http://www.r-project.org).
Basic knowledge in epidemiology and familiarity with R statistical software are prerequisites. For preparation you may consider taking a free online course to learn the concepts of epidemiology or R. Examples: https://www.coursera.org/learn/epidemiology, https://www.coursera.org/learn/r-programming

Learning objectives

  • After completing the course, participants will be able to:
  • Review concepts of spatial epidemiology, urban health, and social media analytics
  • Analyze health outcomes of urban populations by applying:

    • Geo-processing (e.g., integrating geo-spatial social media information)

    • Spatial clustering and mapping (e.g., hotspot analysis)

    • Spatial statistics (e.g., spatial regression)

  • Work more effectively in collaboration with other disciplines for investigating multidisciplinary health problems.