Explore the opportunities, challenges and methods for capturing and using a range of digital health data types to support high-quality population health research.

 

Date & Time: 12-14 October 2022, 09:30 – 17:30 (in-person)

Venue: Hyatt Regency Manchester, 55 Booth St West, Manchester M15 6PQ

 

The Centre for Epidemiology Versus Arthritis is hosting the 4th Manchester Digital Epidemiology School. The event is an exciting three day course where participants will learn all about how to capture and use digital health data to support high-quality epidemiological research.

The programme 2022

The programme covers opportunities, challenges and methods across a variety of data types: from electronic health records to data collected through smartphones and wearable devices. An internationally renowned and multidisciplinary faculty from the University of Manchester, plus several external faculty members, will deliver a series of in person interactive workshops.

Day 1: Electronic health records (EHRs) for health research

Hosted by: Prof Will DixonDr Meghna Jani

Introduction to electronic health record (EHR) data in health research

Prof Tjeerd van Staa (The University of Manchester)

Workshop 1: Preparing drug exposure data

Dr Meghna Jani, Prof Goran Nenadic, Belay Yimer (The University of Manchester)

Workshop 2: New concepts in prediction modelling

Dr Jamie Sergeant & team (The University of Manchester)

Workshop 3: Trial emulation

Dr Christopher Rentsch, Dr Kevin Wing (The London School of Hygiene & Tropical Medicine)

Workshop 4: Group-based Trajectory Modelling

Dr Sam Norton & team (King’s College London)

Guest Keynote Talk: Transforming healthcare with artificial intelligence – lessons from ophthalmology

Dr Pearce Keane (UCL Institute of Ophthalmology)

Networking opportunity for all delegates

Day 2: Smartphones for health research

Hosted by: Prof Will DixonDr Katie Druce 

Introduction to patient-generated health data using smartphones

Prof Will Dixon (The University of Manchester)

Workshop 1: Designing a mobile health study

Prof Will Dixon, Dr Katie Druce (The University of Manchester)

Workshop 2: Co-designing a digital health solution

Dr Pauline Whelan, Matt Machin, Simon Foster, Charlie Stockton-Powdrell (Digital Health Software at The University of Manchester)

Workshop 3: Setting the study up on a platform

Dr Amos Folarin (King’s College London)

Workshop 4: Analysing daily symptoms data

Dr David Selby (DFKI German Research Centre for Artificial Intelligence)

Guest Keynote Talk: Using mobile app technology to assess population health

Dr Claire Steves (King’s College London)

Networking opportunity for all delegates

Day 3: Wearables for health research

Hosted by: Prof John Mcbeth, Dr Alexander Oldroyd

Introduction to patient-generated sensor data

Prof John McBeth (The University of Manchester)

Workshop 1: Micro-randomised trials using sensor data

Prof John McBeth & team (The University of Manchester)

Workshop 2 (TBC)

Workshop 3: Application of wearable technology in digital healthcare

Dr Ríona McArdle, Dr Rana Rehman (Newcastle University)

Workshop 4: Longitudinal studies of health in smart home environments

Dr Ryan McConville (University of Bristol)

Guest Keynote Talk (TBC)

Networking opportunity for all delegates

Download Full Programme (PDF)

Who is this course for?

The Manchester Digital Epidemiology School is for national and international clinicians with an interest in epidemiology and/or data science, allied health professionals, researchers and epidemiologists, working in the area of musculoskeletal disease. Delegates from academic, industry and other backgrounds are welcome.

How much will it cost?

£150 per day.

The daily fee includes registration, lunch and course materials.

Testimonials from our previous courses

  • “A wealth of information into a new and exciting area of epidemiology”   
  • “A well worthwhile event over 3 days”
  • “Interactive, practical and highly engaging”
  • “Excellent primer for those interested in understanding mobile health applications and their use for research – highly relevant during the COVID-19 pandemic!”
  • “An easy and efficient way to keep up to date with digital epidemiology”
  • “Nice forum to connect with researchers with similar interests – learning from others’ experiences helps advance the field by not reinventing the wheel or ignored lessons learned from prior failures”

Deadline for booking: 30 September 2022 

Please note that spaces are limited and will be granted on a first-come, first-served basis.

Confirmed speakers

Prof Will Dixon

Prof Will Dixon

The University of Manchester

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Prof John Mcbeth

Prof John Mcbeth

The University of Manchester

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Dr Meghna Jani

Dr Meghna Jani

The University of Manchester

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 Dr Katie Druce

Dr Katie Druce

The University of Manchester

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Dr Alexander Oldroyd

Dr Alexander Oldroyd

The University of Manchester

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Prof Goran Nenadic

Prof Goran Nenadic

The University of Manchester

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Belay Yimer

Belay Yimer

The University of Manchester

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Dr Jamie Sergeant

Dr Jamie Sergeant

The University of Manchester

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Prof Tjeerd Van Staa

Prof Tjeerd Van Staa

The University of Manchester

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Dr Sam Norton

Dr Sam Norton

King’s College London

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Dr Christopher Rentsch

Dr Christopher Rentsch

The London School of Hygiene & Tropical Medicine

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Dr Kevin Wing

Dr Kevin Wing

The London School of Hygiene & Tropical Medicine

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Dr Pauline Whelan

Dr Pauline Whelan

The University of Manchester

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Matthew Machin

Matthew Machin

The University of Manchester

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Charlie Stockton-Powdrell

Charlie Stockton-Powdrell

The University of Manchester

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Dr David Selby

Dr David Selby

German Research Centre for Artificial Intelligence
Dr Ríona McArdle

Dr Ríona McArdle

The University of Newcastle

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Dr Rana Rehman

Dr Rana Rehman

The University of Newcastle

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Dr Amos Folarin

Dr Amos Folarin

King’s College London

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Dr Ryan McConville

Dr Ryan McConville

University of Bristol

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Dr Pearce Keane

Dr Pearce Keane

UCL Institute of Ophthalmology

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About the Centre for Epidemiology Versus Arthritis

Who are we

The Centre for Epidemiology Versus Arthritis was established in 2013, building on the outstanding legacy of more than 60 years of epidemiological research at The University of Manchester.

Research themes

Our research tackles questions from two clinical areas by applying leading practices from three cross-cutting methodological themes.

Publications and projects

Explore our latest publications and projects.

Previous programmes

 

 

This is the fourth edition of the Manchester Digital Epidemiology School. View PDFs programmes of previous editions:

 

Contact us

Get in touch if you have any questions.

 

 

 

Email: cfe@manchester.ac.uk

Centre for Epidemiology Versus Arthritis
Second floor, Stopford Building
The University of Manchester
Oxford Road
Manchester
M13 9PT

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