EUGLOH Summer School on Biomedical Data Processing and Global Aspects of COVID-19

2020-07-06 09:00 2020-07-10 16:00 EUGLOH Summer School on Biomedical Data Processing and Global Aspects of COVID-19 This online summer school, open to students, PhD candidates and researchers from all 5 EUGLOH member universities, covers global aspects of COVID-19 pandemic, including the medical challenges, models for the virus spread, economic and social consequences: - Mathematical modelling of the COVID-19 outbreak - COVID-19 outbreak: similarities and differences with previous pandemics - An economic model of optimal lockdown - SARS-CoV-2 and COVID-19: the past, present, and future perspectives - Epidemiological aspects: - Data collection and interpretation - Population testing and tracing - Conception and design (illustrated through a current German Coronavirus study) EUGLOH Certificate and 4 ECTS will be awarded for the students attending the school. chez soi

Thematic : Education, EUGLOH, Research

This online summer school, open to students, PhD candidates and researchers from all 5 EUGLOH member universities, covers global aspects of COVID-19 pandemic, including the medical challenges, models for the virus spread, economic and social consequences:

- Mathematical modelling of the COVID-19 outbreak

- COVID-19 outbreak: similarities and differences with previous pandemics

- An economic model of optimal lockdown

- SARS-CoV-2 and COVID-19: the past, present, and future perspectives

- Epidemiological aspects:

- Data collection and interpretation

- Population testing and tracing

- Conception and design (illustrated through a current German Coronavirus study)

EUGLOH Certificate and 4 ECTS will be awarded for the students attending the school.

Public

Réservé à certains publics
Event type

Formation
Conditions

Registration before June 15, 2020
Dates

6 - 10 July
09:00 am - 04:00 pm
Location

chez soi

4 days to train students on the use of modern information technologies for effective research and for the dissemination of scientific results from collected data, in light of the COVID-19 pandemic.