England: General Population Health Landscape
This paper explores the population health of those living within England. With the health of the population facing changes, such as global aging, life expectancies and retirement ages have subsequently increased. Ethnic minorities have been found to be more susceptible to poorer health than their Caucasian counterparts, with minorities developing chronic diseases and disabilities. Therefore, this research delves into health, ethnicity, age and disability data, obtained from the 2021 UK Census, as well as the weekly Coronavirus datasets provided by the Mayor of London. Prior to conducting any analysis, all datasets were cleaned and transformed to exclude any data related to the Welsh population. The datasets were then visualised into graphs, such as bar, line and pie charts to display any relationships, but also frequencies of health across a 5-point Likert Scale: Very Good, Good, Fair, Bad and Very Bad. Overall, the research concluded that the majority of England’s population have very good to good health, thus may be considered as healthy. Those living in the capital (London) are relatively healthier than those that live outside. But the health landscape has slightly adjusted since the onset of Coronavirus, with population health marginally decreasing as a consequence. Moreover, the paper possesses an opportunity to delve into the effects of Long Covid on England’s population.
| Item Type | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information |
“© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
| Keywords | health, population, ethnic minorities, age, disability, coronavirus |
| Departments, Centres and Research Units | Computing |
| Date Deposited | 08 Jan 2025 11:03 |
| Last Modified | 18 Feb 2025 09:23 |
-
picture_as_pdf - 1571077079 final_241204_175336.pdf
-
subject - Accepted Version