A Graphical Data Visualisation Approach to Assessing Associations and Variations of the Impact of COVID-19

MWITONDI, Kassim, RAMAMURTHY, Anandi and GUMBER, Anil (2022). A Graphical Data Visualisation Approach to Assessing Associations and Variations of the Impact of COVID-19. In: National Research Data Workshop, Pretoria, South Africa/Online, 11-12 Jul 2022. NICIS/DIRISA. (Unpublished)

Preview

PDF KSM-DIRISA-2022.pdf - Accepted Version All rights reserved. Download (1MB) | Preview

Abstract

The COVID–19 pandemic, like other global phenomena such as climate change, food security and democracy and human rights, arise from within confined geographical and legislative boundaries. Tackling such challenges entails robust and sustainable collaborative initiatives–a natural challenge, given the geo–political, socio–economic and cultural variations across countries and regions. Any initiatives to address the challenges inevitably evolve around data modelling–typically, uncovering the associations and variations across geo–political and socio–economic and cultural variations of our societies. This view aligns with the non–orthogonal nature of the 17 Sustainable Development Goals (SDG), initiated by the United Nations in 2015. We present a data–driven approach to assessing the associations and variations of the impact of the COVID–19 pandemic in the UK, across ethnic lines of selected health and care workers. The main motivation is that the exercise cuts across multiple SDGs and as such it highlights the impact of different data attributes and how they interact. While individual clinicians have tracked deaths through the press and social media to gain an understanding of which groups of health workers were particularly affected, gaps remain as to how the distribution of the impact of the pandemic actually was. This paper seeks to paint the overall picture of which health care workers were impacted based on those data attributes. Data was obtained from a nation–wide survey involving 380 responses from health and care workers on a range of demographic characteristics such as age, sex, ethnicity, job role and personal views on how they felt in different situations. Emerging graphical patterns provide insights into the way the health and care workers staff were impacted along those attributes. Our findings provide insights into what happens within a particular domain country, sector or an individual SDG. Its is expected that the study will highlights the impact of the events on other SDGs and promote further collaboration.

Item Type:	Conference or Workshop Item (Keynote)
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	24 Apr 2024 14:22
Last Modified:	26 Apr 2024 09:00
URI:	https://shura.shu.ac.uk/id/eprint/33255

Actions (login required)

View Item

Downloads

Publication Metrics