Teaching Statistical Analysis of Pandemics during a Pandemic

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Introduction Didactic Setup Technical Aspects Increase Audience Discussion Teaching Statistical Analysis of Pandemics during a Pandemic Michael H¨ ohle 1 1 Department of Mathematics Stockholm University, Sweden Cram´ ers¨ allskapets h¨ ostm¨ ote Link¨ opings universitet 26-27 Oct 2021 Teaching Statistical Analysis of Pandemics during a Pandemic MichaelH¨ohle 1 / 17

Transcript of Teaching Statistical Analysis of Pandemics during a Pandemic

Page 1: Teaching Statistical Analysis of Pandemics during a Pandemic

Introduction Didactic Setup Technical Aspects Increase Audience Discussion

Teaching Statistical Analysis of Pandemics duringa Pandemic

Michael Hohle1

1Department of MathematicsStockholm University, Sweden

Cramersallskapets hostmoteLinkopings universitet

26-27 Oct 2021

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Introduction Didactic Setup Technical Aspects Increase Audience Discussion

Outline

1 Introduction

2 Didactic Setup

3 Technical Aspects

4 Increase Audience

5 Discussion

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Introduction

7.5 ECTS B.Sc. summer distance course The Mathematicsand Statistics of Infectious Disease Outbreaks at StockholmUniversity during Jun-Aug 2020

Lecturers: Tom Britton and Michael Hohle

Combined experience in mathematics & statistics forinfectious disease epidemiology, media exposure and workingat a public health institution

Aim of this talk:

Share my experiences, advertise the post-course sharing idea.

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Outline

1 Introduction

2 Didactic Setup

3 Technical Aspects

4 Increase Audience

5 Discussion

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Course Setup

12 Lectures on infectious disease modelling and analysis topics(often with a COVID-19 outlook):

Material + videos for preparation (1-1.5h),1h discussion session via Zoom once a week

Examination:

Home exam (5h)Two written project reports:

one structured (solve data & modelling exercise)one open (re-analyze scientific paper, visualize data, makesimulation)

Methods were illustrated in R, but students could choose theirfavorite analysis framework

93 registered students (∼30 finished)

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Course Topics

Simulation and Fitting of Epidemic and Endemic Models

Estimating Reproduction Numbers

Latencies and Delays

Vaccination

Modeling using Networks and other Heterogeneities

Univariate and Multivariate Outbreak Detection

COVID-19:

Reproduction Number and Herd ImmunityDigital Contact Tracing

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Example: Nowcasting Confirmed COVID-19 Deaths

Sources: Mix of Qvintest entry, Adam Altmejd’s COVID-19 Dashboard and course slides

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Example: Interactive AppsIn some cases the lecture material was to read a Blog post

. . . and experiment with the associated interactive Shiny app

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Introduction Didactic Setup Technical Aspects Increase Audience Discussion

Outline

1 Introduction

2 Didactic Setup

3 Technical Aspects

4 Increase Audience

5 Discussion

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Technical Setup

Moodle for the interaction with the students

Zoom for recording. No editing!

Recording setup:

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Introduction Didactic Setup Technical Aspects Increase Audience Discussion

Outline

1 Introduction

2 Didactic Setup

3 Technical Aspects

4 Increase Audience

5 Discussion

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Making it available to a greater audience (1)

GitHub page for Code & Slides:

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SU Video Platform:

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Youtube Playlist:

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Usage Statistics:

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Outline

1 Introduction

2 Didactic Setup

3 Technical Aspects

4 Increase Audience

5 Discussion

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Discussion

Online format allowed a larger group of people to participate(including me!)

Students learned how to access COVID-19 data sources andrelate the theory to practical COVID-19 application

Discussion session ended up being the same 2-5 studentsdiscussing... (use breakout rooms!)

Most student projects were excellent!

Course layout formed the basis for a M.Sc. course at theuniversity of Zurich and will be given again at SU duringVT2022.

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