{"id":2162,"date":"2022-05-25T12:18:13","date_gmt":"2022-05-25T11:18:13","guid":{"rendered":"https:\/\/blogs.manchester.ac.uk\/centre-for-epidemiology\/?page_id=2162"},"modified":"2022-10-04T14:30:31","modified_gmt":"2022-10-04T13:30:31","slug":"manchester-digital-epidemiology-school-2022","status":"publish","type":"page","link":"https:\/\/blogs.manchester.ac.uk\/centre-for-epidemiology\/manchester-digital-epidemiology-school-2022\/","title":{"rendered":"Manchester Digital Epidemiology School 2022"},"content":{"rendered":"

[et_pb_section bb_built=”1″ fullwidth=”on” _builder_version=”3.0.47″ next_background_color=”#000000″][et_pb_fullwidth_slider show_arrows=”off” show_pagination=”off” _builder_version=”3.17.6″ background_position=”top_left” custom_padding=”|||” custom_css_slide_description=”animation: none!important;” custom_css_slide_title=”animation:none!important;” button_text_size__hover_enabled=”off” button_text_size__hover=”null” button_one_text_size__hover_enabled=”off” button_one_text_size__hover=”null” button_two_text_size__hover_enabled=”off” button_two_text_size__hover=”null” button_text_color__hover_enabled=”off” button_text_color__hover=”null” button_one_text_color__hover_enabled=”off” button_one_text_color__hover=”null” button_two_text_color__hover_enabled=”off” button_two_text_color__hover=”null” button_border_width__hover_enabled=”off” button_border_width__hover=”null” button_one_border_width__hover_enabled=”off” button_one_border_width__hover=”null” button_two_border_width__hover_enabled=”off” button_two_border_width__hover=”null” button_border_color__hover_enabled=”off” button_border_color__hover=”null” button_one_border_color__hover_enabled=”off” button_one_border_color__hover=”null” button_two_border_color__hover_enabled=”off” button_two_border_color__hover=”null” button_border_radius__hover_enabled=”off” button_border_radius__hover=”null” button_one_border_radius__hover_enabled=”off” button_one_border_radius__hover=”null” button_two_border_radius__hover_enabled=”off” button_two_border_radius__hover=”null” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”0″ button_one_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover=”null” button_two_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover=”null” button_bg_color__hover_enabled=”off” button_bg_color__hover=”null” button_one_bg_color__hover_enabled=”off” button_one_bg_color__hover=”null” button_two_bg_color__hover_enabled=”off” button_two_bg_color__hover=”null”][et_pb_slide heading=”Manchester Digital Epidemiology School 2022″ button_text=”Register now” use_bg_overlay=”off” use_text_overlay=”off” _builder_version=”3.17.6″ background_color=”#ffffff” background_image=”https:\/\/sites.manchester.ac.uk\/centre-for-epidemiology\/wp-content\/uploads\/sites\/236\/2020\/02\/placeimg_640_480_tech.jpg” background_position=”top_left” custom_button=”on” button_bg_color=”#27a2db” button_border_color=”#27a2db” button_use_icon=”on” button_on_hover=”on” button_link=”https:\/\/estore.manchester.ac.uk\/short-courses\/faculty-of-biology-medicine-and-health\/school-of-biological-sciences\/digital-epidemiology-school” \/][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section bb_built=”1″ _builder_version=”3.17.6″ prev_background_color=”#000000″ next_background_color=”#1d1d1d”][et_pb_row custom_padding=”3em||0.5em|” parallax_method_1=”off” _builder_version=”3.0.47″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″][et_pb_text _builder_version=”3.17.6″]<\/p>\n

\u00a0<\/h2>\n

Explore the opportunities, challenges and methods for capturing and using a range of digital health data types to support high-quality population health research.<\/h3>\n

 <\/p>\n

Date & Time:\u00a0<\/strong>12-14 October 2022, 09:30 – 17:30 (in-person)<\/p>\n

Venue:\u00a0<\/strong>Hyatt Regency Manchester, 55 Booth St West, Manchester M15 6PQ<\/p>\n

 <\/p>\n

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.<\/p>\n

The programme 2022<\/h1>\n

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.<\/p>\n

[\/et_pb_text][et_pb_accordion _builder_version=”3.17.6″ disabled_on=”off|off|off” disabled=”off”][et_pb_accordion_item title=”Day 1: Electronic health records (EHRs) for health research” open=”on” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n

Hosted by:<\/strong> Prof Will Dixon<\/a>, Dr Meghna Jani <\/a><\/p>\n

Introduction to electronic health record (EHR) data in health research<\/strong><\/p>\n

Prof Tjeerd van Staa (The University of Manchester)<\/p>\n

Workshop<\/b> 1: Preparing drug exposure data<\/strong><\/p>\n

Dr Meghna Jani, Prof Goran Nenadic, Belay Yimer (The University of Manchester)<\/p>\n

Workshop 2: <\/strong>New concepts in prediction modelling<\/strong><\/p>\n

Dr Jamie Sergeant, Dr Glen Martin (The University of Manchester)<\/p>\n

Workshop 3: Trial emulation<\/strong><\/p>\n

Dr Christopher Rentsch, Dr Kevin Wing (The London School of Hygiene & Tropical Medicine)<\/p>\n

Workshop 4: Group-based Trajectory Modelling<\/strong><\/p>\n

Dr Sam Norton & team (King\u2019s College London)<\/p>\n

Guest Keynote Talk: Transforming healthcare with artificial intelligence – lessons from ophthalmology<\/strong><\/p>\n

Dr Pearse Keane (UCL Institute of Ophthalmology)<\/p>\n

Networking opportunity for all delegates<\/strong><\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Day 2: Smartphones for health research” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n

Hosted by: <\/strong>Prof Will Dixon<\/a>, Dr Katie Druce <\/a><\/p>\n

Introduction to patient-generated health data using smartphones<\/strong><\/p>\n

Prof Will Dixon (The University of Manchester)<\/p>\n

Workshop 1: Designing a mobile health study<\/strong><\/p>\n

Prof Will Dixon, Dr Katie Druce (The University of Manchester)<\/p>\n

Workshop 2: Co-designing a digital health solution<\/strong><\/p>\n

Dr Pauline Whelan, Matt Machin, Simon Foster, Charlie Stockton-Powdrell (Digital Health Software at The University of Manchester)<\/p>\n

Workshop 3: Setting the study up on a platform<\/strong><\/p>\n

Dr Amos Folarin (King\u2019s College London)<\/p>\n

Workshop 4: Analysing daily symptoms data<\/strong><\/p>\n

Dr David Selby (DFKI German Research Centre for Artificial Intelligence)<\/p>\n

Guest Keynote Talk: <\/strong>Using mobile app technology to assess population health<\/strong><\/p>\n

Dr Claire Steves (King’s College London)<\/p>\n

Networking opportunity for all delegates<\/strong><\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Day 3: Wearables for health research ” open=”off” _builder_version=”3.17.6″ title_text_shadow_horizontal_length=”0em” title_text_shadow_vertical_length=”0em” title_text_shadow_blur_strength=”0em” body_text_shadow_horizontal_length=”0em” body_text_shadow_vertical_length=”0em” body_text_shadow_blur_strength=”0em”]<\/p>\n

Hosted by:<\/strong> Prof John Mcbeth<\/a>, Dr Alexander Oldroyd<\/a><\/p>\n

Introduction to patient-generated sensor data<\/strong><\/p>\n

Prof John McBeth (The University of Manchester)<\/p>\n

Workshop 1: <\/strong>Micro-randomised trials using sensor data<\/strong><\/p>\n

Prof John McBeth, Ting-Chen (Chloe) Hsu (The University of Manchester)<\/p>\n

Workshop 2: Sensor-Based Remote Gait Analysis<\/b><\/strong><\/p>\n

Dr Alexander Oldroyd (The University of Manchester)<\/p>\n

Workshop 3: Application of wearable technology in digital healthcare<\/strong><\/p>\n

Dr R\u00edona McArdle, Dr Rana Rehman (Newcastle University)<\/p>\n

Workshop 4: <\/strong>Longitudinal studies of health in smart home environments<\/strong><\/p>\n

Dr Ryan McConville (University of Bristol)<\/p>\n

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<\/strong><\/p>\n

Dr Alex Casson (The University of Manchester)<\/p>\n

Networking opportunity for all delegates<\/strong><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_text _builder_version=”3.17.6″]<\/p>\n

Download Full Programme (PDF)<\/a><\/p>\n

Who is this course for?<\/h1>\n

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.<\/p>\n

How much will it cost?<\/h1>\n

\u00a3150 per day.<\/p>\n

The daily fee includes registration, lunch and course materials.<\/p>\n

Testimonials from our previous courses<\/h1>\n