- Dates
- 5 - 9 September 2022
- Preu
- 100 EUR (1 Module), 150 EUR (2 Modules), 200 EUR (3 Modules) - free for students from LMICs and for ISGlobal staff and alumni
- Dedicació
- Monday - Friday
- Horari
- 9:00 - 11:00; 11:30 - 13:30; 14:30 - 16:30
- Modalitat
- Online - Synchronous
- Llengua
- English
- Durada
- 5 days
Registration is open!
The online ISGlobal Summer School in Global Health proposes a unique interdisciplinary teaching program, organized in five different modules from which participants can choose up to three.
Each offered module is designed to fully satisfy the needs of international students with a specific interest in health impact assessments, infectious diseases and their disruptive impact on society, biomedical data science & machine learning, exposome concepts and innovative tools, and planetary health and its approach to climate change and other challenges of the Anthropocene.
Theoretical and practical sessions determine the content of our interdisciplinary summer school course.
Students who attend a minimum of 80% of the online sessions of a Module will be awarded a Certificate of Participation. Attendance will be determined from Zoom participant reports.
Learning objectives:
The Summer School is designed to empower postgraduate students, researchers, and young professionals to:
- Explore and acquire knowledge in current Global Health issues.
- Describe approaches, concepts and frameworks used in Global Health studies and interventions.
- Apply integrated knowledge to solve Global Health issues.
- Apply key methodologies used in Global Health to better design, conduct, analyse and interpret research studies.
- Expand participant’s personal and professional network by e-meeting people from different nationalities and backgrounds.
Modules
Modules in the same time slot are held in parallel. Therefore you can take a maximum of three modules in total, one per time slot:
- Time Slot 1: from 09:00 to 11:00 h CEST
- Time Slot 2: from 11:30 to 13:30 h CEST
- Time Slot 3: from 14:30 to 16:30 h CEST
- Coordinators: Davide Rasella and Natalie Mueller
- Other lecturers: James Woodcock
- Aim: This module aims to provide a comprehensive overview of the main theoretical and methodological approaches for HIA, applied to different health topics and outcomes.
- Learning Objectives: Upon successful completion of the module, participants should be able to: (1) understand the underlying assumptions and principles of HIA; (2) identify strengths and limitations of each HIA method, and be able to select the most appropriate HIA technique, according to study objectives and conditions; (3) Develop basic HIA and correctly interpret their results, rather than focus on the mathematical derivation of the methods.
- Time Slot 1: from 09:00 to 11:00 h CEST
Module 2. Endemic and Pandemic Infectious Diseases and their Disruptive Impact in Society
Time Slot 2
- Coordinators: Quique Bassat and Elisa López
- Other lecturers: Jose Muñoz, Emili Letang, Carlota Dobaño, Adelaide Sarukhan, Eduardo Celades, Javier Gandasegui, Jeffrey Lazarus, Belen Saavedra, Clara Ballesté
- Aim: To review and critically appraise the global health and societal impact of infectious diseases, using as examples infections that “have always been with us” (eg., malaria, tuberculosis) and newer infections such as HIV, Ebola or SARS-CoV-2.
- Learning Objectives: (1) To understand the basic concepts of epidemiological transition and interplay between infections, mortality and development; (2) To become familiarized with the epidemiology, burden and basic characteristics of a few important IDs, namely: 1) Malaria, 2) Tuberculosis, 3) HIV, 4) Neglected tropical infections, 5) Emerging infections with pandemic potential; (3) To understand diagnosis, management and control strategies for IDs, both in endemic and epidemic contexts, or emergency situations; (4) To review the importance of preventive strategies (including vaccines) for the prevention of IDs, and their impact throughout the years; (5) To understand preparedness needs for future pandemics
- Time Slot 2: from 11:30 to 13:30 h CEST
- Coordinator: Paula Petrone
- Aim: The aim is to understand the scope, advantages and limitations of data science algorithms in the field of health & biology; also, to apply basic techniques used for the interpretation and analysis of biomedical data, including visualization and machine learning.
- Learning Objectives: (1) Acquire a general overview to machine learning (definition, applications); (2) Learn about data science applications to the Life Sciences, including limitations and opportunities; (3) Approach new data sets with questions and implement data analytics and visualization techniques.
- Minimum requirements to attend this module: Basic programming is only required for the practical session.
- Time Slot 2: from 11:30 to 13:30 h CEST
Module 4. Planetary Health: An Approach to Climate Change and Other Challenges of the Anthropocene
Time Slot 3
- Coordinator: Cristina O'Callaghan Gordo
- Other lecturers: Ivana Cvijanovic, Josep M. Antó, Bruno Carvalho, Carlos Faerron
- Aim: The aim of this course is to understand the changes that the Anthropocene entails in natural systems and to analyse the main challenges that these changes pose to human health and the environment. In this respect, a strong focus will be placed on understanding the physical basis and impacts of climate change. The main governance strategies for the development and implementation of responses to achieve Planetary Health will also be introduced.
- Learning Objectives: Upon successful completion of the module, participants should be able to: (1) Describe the main changes in Earth’s natural systems that characterize the Anthropocene, as well as explaining the complex dynamics and interactions of these changes; (2) Explain health problems in terms of Planetary Health, identifying the impacts of the environment on health and the impacts of human activity, including health, on the planet; (3) Identify and explain the main determinants of human induced climate change in natural systems (including both historical and future climate change); (4) Identify and categorize the main impacts of global environmental change on human health; (5) Recognize, analyse and argue the main strategies to promote Planetary Health; (6) Critically assess the governance strategies necessary to promote a sustainable society, such as the 2030 Agenda.
- Time Slot 3: from 14:30 to 16:30 h CEST
Module 5: Exposome Concepts and Innovative Tools
Time Slot 3
- Coordinator: Léa Maitre
- Other lecturers: Martine Vrijheid, Juan Ramón González, Mark Nieuwenhuijsen, Maribel Casas, Sofya Pozdniakova, Sílvia Borràs, Xavier Basagaña, Mariona Bustamante, Cathryn Tonne
- Aim: To provide basic knowledge and tools to design, implement and analyze exposome studies in different resource context (high- and low-income countries).
- Learning Objectives: Upon successful completion of the module, participants should be able to: (1) Understand the different components of the exposome (external, internal); (2) Select the right study design and statistical analysis tools to conduct exposome studies; (3) Learn about the different tools to measure the exposome and its biological imprints (urban environment, chemical biomonitoring, omics); (4) Identify exposome research opportunities in low- and middle-income countries.
- Minimum requirements to attend the module: Each participant must have an introductory background in statistics and epidemiology (see Summer School minimal requirements).
In addition, each participant is required to have a personal laptop. If you would like to participate in the hands-on data labs offered by this module, you will need to have R downloaded and installed prior to the first day of the workshop as all lab sessions will be done on your personal laptop. R is available for free download and installation on Mac, PC, and Linux devices.
This course module will provide lab tutorials with data sets in R, therefore we recommend participants to have a basic understanding of this platform prior to attending the course to get the most out of lab sessions, although R knowledge is not required if you do not plan to participate in lab sessions. - Time Slot 3: from 14:30 to 16:30 h CEST
Fees and Application
Fees:
Participants can select a maximum of three modules:
- One module: 100 Euros
- Two modules: 150 Euros
- Three modules: 200 Euros
This course is offered free of charge for:
- Participants from low-and middle-income countries (according to World Bank classification)
- ISGlobal Alumni members registered in the Linkedin Group
- ISGlobal Staff
Requirements:
- Bachelor or Master's Degree in epidemiology, computer science, bioinformatics, public health, global health, environmental sciences, biostatistics, biomedicine, or a related discipline.
- Basic knowledge in epidemiology and statistics.
- Advanced level of English.
Application:
Interested candidates must (1) complete the application form and (2) submit:
- A current C.V.
- A letter of motivation that clearly indicates why you want to attend the course modules that you have selected (Note: a maximum of 3 modules can be taken in total, one for each time slot)
Please note that in order to have your application considered, you must clearly name your files as follows: (Surname_Name_CV) / (Surname_Name_Motivation letter). Documents with incorrect name files will not be accepted.
Applications will be considered and admissions status notified on a rolling basis. You can expect to be contacted within approximately one week to 10 days after sending your application.
Deadline for applications: 15 July 2022
The Summer School is supported by funding from our “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX 2018-000806-S) from the Spanish State Research Agency, a body affiliated with the Ministry of Science and Innovation.
