Please note that due to the current corona situation,
we have decided to fully conduct the course online on Zoom.
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. We concentrate on state-of-the-art multivariable statistical and spatial statistical modeling to health outcomes as identified in geo-referenced Twitter data and associations with socio-ecological factors of urban contexts.
We combine theoretical and lab work on statistical analysis and spatial-epidemiological modeling techniques in a vibrant international and interdisciplinary setting.
The international summer school Digital Spatial Epidemiology 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 the spatial dimensions of health. The summer school faculty has long-lasting cooperation demonstrated by joint publications in the field of urban and megacity health, geo-spatial, and social media analysis.
After completing the course, you will be able to:
Basic Knowledge in epidemiology
Familiarity with R statistical software (for example, see http://www.r-tutorial.nl/, and a new book on geo computation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow: https://geocompr.robinlovelace.net/)
Please bring your own laptop with statistical software R installed
Please install the most recent version of R (https://cran.r-project.org/bin/windows/base/) and the most recent version of RStudio (https://www.rstudio.com/products/rstudio/download/, choose the free open source license). If you already have an older version installed please ensure to update it since there might be problems if an old version of R is used together with a new version of Rstudio and vice versa.
UZH students and scientists: CHF 150.–
External early career scientists*: CHF 450.–
(*Master and PhD students, early PostDocs of up to three years after their PhD, or senior scientists from a participating university listed above, proof required)
External senior scientists: CHF 1200.–
All others: CHF 1800.–
Read scientific manuscripts (we will send this one week before or earlier)
Work on a given group task in R together with other team members
Present the findings of your group task as a team on the last course day
Suzanne Elayan, PhD
Research associate, Loughborough University, UK
Suzanne Elayan's work revolves around computational social media research and sentiment analysis within their various applications. Her expertise lies in utilising a mixed-methods approach to design and develop semantic models that are used to detect and measure emotional affects mostly in unstructured social media data. Suzanne teaches subjects related to social media analytics, cultural analytics, and information architecture and supervises PhD students who study social media discourse. Suzanne is a co-developer of the EMOTIVE advanced sentiment analysis system.
Dr. Marta Fadda
Postdoctoral research fellow, University of Lugano, Switzerland
Marta Fadda holds a PhD in Health Communication from the Institute of Communication and Health of the University of Lugano and was previously a Postdoctoral Researcher at the Health Ethics and Policy Lab at ETH Zurich, where her research focused on the ethical, legal and social implications of genomic data sharing, participant-initiated research and international data sharing policies for personalised medicine.
Dr. Florian Fischer
Ravensburg-Weingarten University of Applied Sciences, Germany
Florian Fischer is an expert in issues related to public health, health communication and digitalisation. For example, he is the editor of a book on eHealth. Originally he was trained as a paramedic. Afterwards, he studied consecutively in a bachelor, master and doctoral programme in public health at Bielefeld University.
Dr. Oliver Gruebner
Senior researcher, University of Zurich, Switzerland
MMH Khan, PhD
Professor, East West University, Dhaka, Bangladesh
Md. Mobarak Hossain Khan is Chairperson of the Department of Social Relations at East West University (EWU), Bangladesh. Before joining at EWU on January 2018, he occupied several faculty and research positions in Bangladesh, Germany, Japan, and Saudi Arabia. His total number of publication is around 130 including an edited book on urban health. He finished his habilitation (Bielefeld University, Germany, 2017), PhD (Sapporo Medical University, Japan, 2007), MSc (Heidelberg University, Germany, 2000), MSc and BSc (Jahangirnagar University, Bangladesh, 1992, 1991) either in Statistics or Public Health and Epidemiology.
Alexander Krämer, PhD, MD
Professor, University of Bielefeld, Germany
Alexander Krämer is an expert in the field of Public Health and one of the founders of the first independent School of Public Health in Germany (Bielefeld University). Krämer is active in several research fields of global public health like urban health, refugee health, health and climate change and infectious disease epidemiology. As a senior professor he is the director of the Graduate Research Programme FlüGe together with 12 other PIs, the consortium coordinator and 13 doctoral students at the University of Bielefeld, Germany addressing refugee health from an inter- and transdisciplinary perspective. Krämer is author and editor of books on infectious disease epidemiology, urban health, climate change health effects, ehealth and health at the university setting. He is author and coauthor of more than 300 publications in international peer-reviewed scientific journals.
Dr. Tobia Lakes
Professor, IRI THESys, Humboldt-Universität zu Berlin, Germany
Tobia Lakes applies spatio-temporal analyses and modeling techniques to study urban health and land use change effects on health and the environment. The set of methods that Tobia and her team use, comprises spatial statistics, spatial modeling, machine learning, scenario-analyses and the triangulation of different techniques. By combining different datasets, such as remote-sensing data and surveys, she aims for exploring the highest potential of data to address a specific research question. She has supervised several PhD projects and has published various papers in international journals.
Dr. Sven Lautenbach
Senior researcher, University of Heidelberg, Germany
Sven Lautenbach got his PhD in applied system science from the University of Osnabrück. He worked as a postdoc researcher at the department for Computational Landscape Ecology at the Helmholtz Center for Environmental Research - UFZ, Leipzig, Germany, as an acting assistant professor for geomatics at the Department of Geography at the Humboldt University zu Berlin, Germany, adjunct faculty at the George Mason University, Fairfax, USA and as an assistant professor for land use modeling and ecosystem services at the University of Bonn, Germany. His research focuses on spatial data analysis in the domains of environmental management, land use science and public health.
Martin Sykora, PhD
Assistant Professor, Loughborough University, UK
Martin Sykora has an extensive track record in computational social media research and sentiment analysis. Martin's focus is on investigating the role of social media in the communication of emotion and affect, and how it shapes human behaviours, including its’ impact on public health, as well as political discourse and civic culture. In his work, Martin leverages big data analytics including machine learning, natural language processing and semantic modelling in novel ways. Among a number of high profile research projects, Martin has also co-developed the EMOTIVE advanced sentiment analysis system.