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, Dr Glen Martin (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 Pearse 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, Ting-Chen (Chloe) Hsu (The University of Manchester)

Workshop 2: Sensor-Based Remote Gait Analysis

Dr Alexander Oldroyd (The University of Manchester)

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: Where next with wearables: Future directions in wearable devices, and lessons learned from analysing the 100,000 wearable accelerometer records from the UK Biobank

Dr Alex Casson (The University of Manchester)

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 (extended): Sunday, 9 October 2023 

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

View profile
Prof John Mcbeth

Prof John Mcbeth

The University of Manchester

View profile
Dr Meghna Jani

Dr Meghna Jani

The University of Manchester

View profile
 Dr Katie Druce

Dr Katie Druce

The University of Manchester

View profile
Dr Alexander Oldroyd

Dr Alexander Oldroyd

The University of Manchester

View profile
Prof Goran Nenadic

Prof Goran Nenadic

The University of Manchester

View profile
Belay Yimer

Belay Yimer

The University of Manchester

View profile
Dr Jamie Sergeant

Dr Jamie Sergeant

The University of Manchester

View profile
Dr Glen Martin

Dr Glen Martin

The University of Manchester

View profile
Prof Tjeerd Van Staa

Prof Tjeerd Van Staa

The University of Manchester

View profile
Dr Sam Norton

Dr Sam Norton

King’s College London

View profile
Dr Christopher Rentsch

Dr Christopher Rentsch

The London School of Hygiene & Tropical Medicine

View profile
Dr Kevin Wing

Dr Kevin Wing

The London School of Hygiene & Tropical Medicine

View profile
Dr Pauline Whelan

Dr Pauline Whelan

The University of Manchester

View profile
Matthew Machin

Matthew Machin

The University of Manchester

View profile
Charlie Stockton-Powdrell

Charlie Stockton-Powdrell

The University of Manchester

View profile
Dr David Selby

Dr David Selby

German Research Centre for Artificial Intelligence
Ting-Chen (Chloe) Hsu

Ting-Chen (Chloe) Hsu

The University of Manchester

View profile
Dr Ríona McArdle

Dr Ríona McArdle

The University of Newcastle

View profile
Dr Rana Rehman

Dr Rana Rehman

The University of Newcastle

View profile
Dr Amos Folarin

Dr Amos Folarin

King’s College London

View profile
Dr Ryan McConville

Dr Ryan McConville

University of Bristol

View profile
Dr Pearse Keane

Dr Pearse Keane

UCL Institute of Ophthalmology

View profile
Dr Alex Casson

Dr Alex Casson

The University of Manchester

View profile

FAQ

 

 

 

We have prepared some useful recourses to help you find your way to the conference and around Manchester. If you have any questions or issues, please contact the Center Manager, Denise Faulkner.

Travel and accommodation

Travel and accommodation is not included in any of the conference rates, however, CfE have collated a list of hotels in Manchester that are within a close proximity to the conference. We have listed below different options. Please note, the below list are suggestions based on location rather than recommended hotels. Each hotel has its own rate and terms and conditions. Delegates are responsible for booking directly with the hotels, not with CfE.

Hyatt Regency Manchester – 4-star hotel
Address: 55 Booth St W, Manchester M15 6PQ

ibis Manchester Centre Princess Street Hotel – 2-star hotel
Address: Charles St, Princess St, Manchester M1 7DG

Premier Inn Manchester City Centre (Portland Street) hotel – 3-star hotel
Address: 112-114 Portland Street, Manchester,M1 4WB

Premier Inn Manchester City Centre (Princess Street) hotel – 3-star hotel
Address: 2 Brook Street, Manchester, M1 7BJ

Kimpton Clocktower Hotel – 4-star hotel
Address: Oxford St, Manchester M60 7HA

Innside Hotel – 4-star hotel
Address: 1 First Street, M15 4RP

Premier Inn Manchester Central hotel  3-star hotel
Address: Bishopsgate, 7-11 Lower Mosley Street, Manchester M2 3DW

Holiday Inn Manchester – City Centre – 2-star hotel
Address: 25 Aytoun Street, Manchester, M1 3DT

Motel One – 3-star hotel
Address: 1 Dickinson St, Manchester M1 4LF

The Midland Hotel – 4-star hotel
Address: 16 Peter St, Manchester M60 2DS

Premier Inn Manchester City (Piccadilly) hotel – 3-star hotel
Address: 72 Dale Street, Manchester,M1 2HR

Staycity Aparthotels – Manchester Piccadilly – 4-star hotel
Address: 8B Gateway House, Piccadilly Station Approach, M1 2GH

DoubleTree by Hilton Hotel Manchester Piccadilly – 4-star hotel
Address: One, 1 Piccadilly, Auburn St, Manchester M1 3DG

Hilton Manchester Deansgate – 4-star hotel
Address: 303 Deansgate, M3 4LQ

Getting to Manchester

Getting to Manchester is easy. You can fly, or travel by train/bus/car. All the details you need can be found here. And don’t forget, the earlier you book your travel and accommodation, the cheaper it will often be.

 

Explore Manchester

Explore, discover and find the version of Manchester that best speaks to you. Manchester is a vibrant it with many exciting activities to offer. Visit Manchester Insider’s Handbook has loads of ideas for things to see and do. 

 

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

Find us

Our building is number 79 on the campus map.

Follow us

Facebook icon Twitter icon Youtube icon LinkedIn page for The University of Manchester