• Spatial and digital epidemiology:

    Leveraging geo-referenced social media in the context of urban health

    11th International Summer School 2019

    August 5-9

  • Venue

    University of Zurich

    Rämistrasse 59

    CH- 8001 Zurich

     

    Room: RAA-E-30 EV

    https://www.plaene.uzh.ch/RAA

  • Course Description

    Audience

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

     

    Aims

    The course addresses spatial epidemiological approaches to social media data. We concentrate on state-of-the-art multivariable statistical and spatial statistical modelling 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 summer school Spatial and digital epidemiology: Leveraging geo-referenced social media in the context of 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 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.

     

    Learning objectives

    After completing the course, you will be able to:

    1. Describe the relevance, potential, and challenges of spatial and digital epidemiological approaches to advance urban health research:
      • Review concepts of geospatial data analysis and visualization
      •  Describe big geodata social media analytics for public health
    2. Apply robust spatial and digital epidemiological approaches towards addressing important urban health challenges:
      • Analyse mental health outcomes as identified in social media
      • Employ geo-processing (e.g., integrating geo-spatial social media information)
      • Perform exploratory spatial data analysis (e.g., geo visualization and mapping)
      • Apply spatial statistics (e.g., hotspot analysis, spatial regression)
    3. Develop a project with potential for real-world urban health impact using geospatial big data methods:
      • Extend your multidisciplinary network
      • Work more effectively in collaboration with other disciplines for investigating multidisciplinary health problems.

     

    Prerequisites

    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.

     

    Course language

    English

     

    Course Fees

    We greatly acknowledge financial support by Graduate Campus UZH

    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, proof required)

    External senior scientists: CHF 600.–

    All others: CHF 900.–

     

    3 ECTS 

     

     

  • Course Instructors

    Suzanne Elayan, PhD

    Research associate, Loughborough University, UK

    Suzanne Elayan is a research associate in the Centre for Information Management (CIM). Her 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 is a Postdoctoral Research Fellow at the University of Lugano, Switzerland. She 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

    Postdoc, University of Bielefeld, Germany

    Florian Fischer is a postdoctoral researcher at Bielefeld University, School of Public Health. He 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

    Oliver Gruebner is a senior researcher at the University of Zurich, Switzerland where he holds two positions at EBPI and at GIVA. His research focuses on spatial epidemiological approaches to health outcomes particularly in urban contexts. He received his PhD in Geography from Humboldt-Universität zu Berlin, Germany in 2011. He was a postdoctoral researcher at University of Bern Centre for Development and Environment (CDE), Columbia University’s Mailman School of Public Health, Harvard Medical School, Harvard T.H. Chan School of Public Health, and Robert Koch-Institute Berlin. Latest book contributions include a chapter in urban health, edited by Sandro Galea, Catherine K. Ettman, and David Vlahov.

    MMH Khan, PhD

    Professor, East West University, Dhaka, Bangladesh

    Md. Mobarak Hossain Khan is Professor and 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 is associate professor for applied geoinformation science at the Department of Geography at Humboldt-Universität zu Berlin. In her research, she 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 is currently a senior researcher at the Geoinformatics Department, University of Heidelberg, Germany. He 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.

    Ivor Mardešić

    Research assistant, University of Zurich, Switzerland

    Ivor Mardešić is a research assistant at the Epidemiology, Biostatistics, and Prevention Institute. Ivor graduated GIScience at the University of Zurich Department of Geography in FS 2018. His master thesis focused on spatio-temporal accessibility to healthcare, using a original variation of the floating catchment area method. Ivor comes from Split, in Croatian Dalmatia.

    Martin Sykora, PhD

    Assistant Professor, Loughborough University, UK

    Martin Sykora is Assistant Professor in the Centre for Information Management (CIM). He 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.

  • Program

    *updated* course program August 5-9

  • Registration

    Please register here:

    ONLY LIMITED SPACE AVAILABLE

     

    Registration page

    Contact person:

    Oliver.Gruebner at uzh.ch