Ulster University

Academic Institute

1131

In support of this national response, this project is undertaking the following areas of work: 1. Analysing transmission dynamics of Covid-19 2. Analysing progression of the Covid-19 infection 2. Investigating relationship between underlying health conditions and severity of symptoms 3. Identifying group of individuals at significant risk of increased morbidity from COVID-19

Specifically this project aims to 1. Investigate spatial differences in outbreak dynamics of Covid-19 2. Identify individuals most at risk of Covid-19, by better understanding symptoms linked to underlying health conditions 3. Analyse the association between the progression of the Covid-19 infection, symptoms, and comorbidities 4. Build a machine learning model for predicting COVID-19 cases based on combinations of symptoms Anticipated outcomes of the project are: 1. Improved understanding of how the virus spreads across different parts of the UK 2. Predictive model allowing for differentiating between individuals with and without Covid-19 3. Improved understanding of risk factors for Covid-19 4. Not required IF YOU HAVE TICKED 'NOT REQUIRED' PLEASE SPECIFY THE REASONS: This project is being undertaken in the national interest during a national emergency, with information being provided across governments and health authorities. Research Ethics Not required THE PROJECT USES WILL USE ONLY ANONYMISED DATA, AND THEREFORE RESEARCH ETHICS REVIEW IS NOT REQUIRED Yes 2 of 5 Identification of the symptoms most predictive of Covid-19 severity

04/06/2020

Anonymous

(e) processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;

(j) processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.

Not applicable

Not applicable

TRE