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Topic General/Theory

Instructors

Affiliated with University of Milano-Bicocca, Italy / Universty “Vita&Salute” San Raffaele Hospital, University of Italian Switzerland

Prof. Fulvia Mecatti

Fulvia Mecatti has a PhD in Methodological Statistics from University of Trento and is professor of Statistics at University of Milano-Bicocca, Italy.  Her main research interests are in Sampling Theory, Resampling, Gender Statistics and Causal Inference in medical observational studies. She has a long experience in teaching Statistics in social sciences programs and to non-technical publics. She is former director of the PhD program in Statistics at University of Milano-Bicocca and former president of  S2G-Survey Sampling Group of the Italian Statistical Society. Currently she is serving as an elected member in the board of Italian Statistical Society and in the COVID-19 working group of the European Federation of National Statistical Societies (FENStatS).

Prof. Clelia Di Serio

Clelia Di Serio has a PhD in Methodological Statistics from University of Trento and is full professor of Medical Statistics and Epidemiology  at San Raffaele University Hospital and Swiss University (Lugano). She is founder and director of CUSSB-University Center for  Statistics in the  Biomedical Sciences (www.cussb.unisr.it). Her main research interests are in  biostatistics both theoretical and applied, bioinformatics, statistical genetics and  causal inference in medical observational studies. She is former president of the Italian Region of International Biometric Society. Currently she is Representative Council Member for IBS and responsible and representative for Italy in the IBS Committee on Communications. Since 2016 she is Co-Director of the Master Program in Cognitive Psychology in Health Communication of Swiss University. In 2020 nominated fellow of Istituto Lombardo Accademia di Scienze e Lettere.

Course description

The course  is an  introduction to effectively communicating, to general audiences,  complex statistical modelling and estimation related to Covid-19 data.  The instruction will be at a beginner level. The 6 hours course is split in 2 days and will cover “Basics of effective communication to a general audience” on day 1  and  “Introduction to estimation and  modelling of covid-19 data: prevalence, incidence, epi-curves, transmissibility and reproduction numbers” on day 2.  Classes  will include  stop&go discussion upon broadcasting of video-recorded interviews with experts and professionals  in media monitoring and communication of health data. A student assignment is scheduled at the end of day 1 lessons with feedback on day 2 for shared learning.

Target audience

Students, early career researchers and professionals with basic background in statistics and at beginner level in epidemiology. 

Syllabus

  • Day 13 hours (1h 20m units with 20m break)

     

    • Introduction to the short course
    • Lesson “Basics of effective communication to a general audience”
    • Interview with  the professional:  “Communicating  covid-19 data”  
    • Q&A session and  Activity time (real time polls and quick quiz),
    • Student Assignment
  • Day 23 hours (1h 20m units with 20m break)
    • Recap & Feedback from Day 1
    • Lesson  “Introduction to estimation and  modelling of covid-19 data: prevalence, incidence, epi-curves, transmissibility and reproduction numbers”
    • Interview with  the expert:  “Communicating  covid-19 data”  
    • Discussion & Activity time (real time polls and quick quiz)
    • Feedback on Student Assignment

Required software

PowerPoint presentations for online classes .
Pre-registered videos broadcasting for stop&go discussion.
Chat and Q&A session (unless otherwise available).
Real time polls, quick quiz, engagement & feedback.