Reflections on Modelling the Covid-19  Pandemic

Reflections on Modelling the Covid-19 Pandemic

By Digital Futures

Overview

Join Digital Futures for Reflections on Modelling the Covid-19 Pandemic, the next event in our GM Connected Health Ecosystem series!

PLEASE NOTE: THIS EVENT IS FOR PEOPLE WHO WORK FOR THE NHS OR IN HEALTHCARE.


Book your ticket now for the next in series of the GM Connected Health Ecosystem!

After the hugely successful AI in Healthcare: Transforming the Future with Large Language Models events, the GM Connected Health Ecosystem series will be returning in December with Reflections on Modelling the Covid-19 Pandemic!

This event will look at the lessons learnt and identified from data science and health technology work during the pandemic, as well as understanding the impact of health systems.

Join Digital Futures and The University of Manchester, at the next the GM Connected Health Ecosystem series, and connect and collaborate with NHS and NHS-related staff, SMEs, academics and researchers, innovators, and those passionate about improving health and care!

Don’t miss out on this unique opportunity to discuss the impact of the pandemic on the healthcare industry.

Secure your free ticket now for our upcoming 4th December event at the Core Technology Facility!


Speakers

Professor Ian Hall (Chair) - Professor of Mathematical Epidemiology and Statistics, Social Care Work (Title TBC)

Professor Lorenzo Pellis - Professor of Mathematical Biology, Estimating Reproduction Numbers (Title TBC)

Professor Thomas House - Professor of Mathematical Sciences, Hospital Modelling Work (Title TBC)


More To Be Confirmed


Agenda:

8.45 Arrival and Registration in the Entrance/ The Street area

9.00 - 12.00 Speaker Presentations

1.00 Event Close


More To Be Confirmed


Important Information:

A risk assessment can be provided on request.

Photography will take place at this event. If you do not wish to be photographed, please speak to an event organiser upon event registration.


About Digital Futures: Digital Futures is a highly interdisciplinary network that operates across the whole range of the University’s digital research. We aim to present a coherent overview of The University of Manchester's digital research activity to external stakeholders and bring together research communities to explore new research areas and address strategic opportunities.


Connect with Digital Futures:

Bluesky: @digitaluom.bsky.social

X: twitter.com/DigitalUoM

Linkedin: linkedin.com/showcase/digital-futures-at-the-university-of-manchester

Website: digitalfutures.manchester.ac.uk

Newsletter: tinyurl.com/digitalfuturesuom


About Manchester University NHS Foundation Trust (MFT): Manchester University NHS Foundation Trust is the largest NHS Trust in the country and a leading provider of specialist healthcare services.

Its 10 hospitals are home to 28,000 staff including world-class clinicians and academic staff committed to finding patients the best care and treatments.

These are: Manchester Royal Infirmary, Saint Mary's Managed Clinical Service, Royal Manchester Children's Hospital, Manchester Royal Eye Hospital, University Dental Hospital of Manchester, Trafford General Hospital, Altrincham Hospital, Wythenshawe Hospital, Withington Hospital and North Manchester General Hospital.

MFT is also a leader in healthcare research and innovation, with clinical teams at the forefront of many medical breakthroughs. Research topics include emergency care, respiratory disease, cancer, cardiology care, musculoskeletal disorders, genomics, women's health and pregnancy, children's health, eye and dental health, and cardiovascular disease.


Connect with MFT

LinkedIn: https://www.linkedin.com/company/mft-research-and-innovation/

X: https://x.com/MFT_Research [x.com]

Website: https://mft.nhs.uk/

Category: Health, Medical

Good to know

Highlights

  • 4 hours
  • In person

Location

Core Technology Facility

46 Grafton Street

Manchester M13 9WU United Kingdom

How do you want to get there?

Organised by

Digital Futures

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Free
Dec 4 · 09:00 GMT