COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review

Peng, X; Long, G; Peng, Y; Tang, W; Clarke, A

COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review

Peng, X

Long, G Peng, Y Tang, W Clarke, A

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Publisher:: Taylor & Francis
Publication Type:: Chapter
Citation:: Data Driven Science for Clinically Actionable Knowledge in Diseases, 2023, 1st Edition
Issue Date:: 2023-12-06

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Field	Value	Language
dc.contributor.author	Peng, X https://orcid.org/0000-0002-8901-1472
dc.contributor.author	Long, G
dc.contributor.author	Peng, Y
dc.contributor.author	Tang, W
dc.contributor.author	Clarke, A
dc.contributor.editor	Catchpoole, D
dc.contributor.editor	Simoff, S
dc.contributor.editor	Kennedy, P
dc.contributor.editor	Nguyen, QV
dc.date.accessioned	2024-02-01T02:42:04Z
dc.date.available	2024-02-01T02:42:04Z
dc.date.issued	2023-12-06
dc.identifier.citation	Data Driven Science for Clinically Actionable Knowledge in Diseases, 2023, 1st Edition
dc.identifier.isbn	1003292356
dc.identifier.isbn	9781003292357
dc.identifier.uri	http://hdl.handle.net/10453/175189
dc.description.abstract	The COVID-19 pandemic has profoundly changed the world and human society in various ways. Infection-related figures are key indicators of the direct impact of the pandemic. In addition to the virus, many vulnerable populations (eg patients with complex health conditions) have suffered direct or indirect health impacts, such as delayed treatment or diagnosis of cancer and severe mental illness due to stay-at-home restrictions, or financial issues. Studying these kinds of impacts can provide the community with insights and understanding of how the pandemic has affected patients with health conditions and help inform decision-makers design policies that support various vulnerable populations. This paper surveys analytical work conducted on how COVID-19 has impacted patients with complex health conditions. We categorise vulnerable populations into three specific cohorts: patients with chronic disease, patients with cancer and patients with end-of-life care. We then investigate how each of these cohorts has been impacted by the pandemic. We also identify each cohort from an analytics perspective by leveraging various data collection strategies and analytical methods. The goals of this paper are to provide evidence on how to improve the quality of life for vulnerable populations and to inform a national response strategy for future pandemics, which seems inevitable in a highly globalised economy.
dc.format.extent	10
dc.language	en
dc.publisher	Taylor & Francis
dc.relation.ispartof	Data Driven Science for Clinically Actionable Knowledge in Diseases
dc.relation.isbasedon	10.1201/9781003292357-2
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review
dc.type	Chapter
utslib.citation.edition	1st Edition
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	embargoed	*
pubs.consider-herdc	true
utslib.copyright.embargo	2025-06-06T00:00:00+1000Z
dc.date.updated	2024-02-01T02:42:03Z
pubs.edition	1st Edition
pubs.publication-status	Published online

Abstract:

The COVID-19 pandemic has profoundly changed the world and human society in various ways. Infection-related figures are key indicators of the direct impact of the pandemic. In addition to the virus, many vulnerable populations (eg patients with complex health conditions) have suffered direct or indirect health impacts, such as delayed treatment or diagnosis of cancer and severe mental illness due to stay-at-home restrictions, or financial issues. Studying these kinds of impacts can provide the community with insights and understanding of how the pandemic has affected patients with health conditions and help inform decision-makers design policies that support various vulnerable populations. This paper surveys analytical work conducted on how COVID-19 has impacted patients with complex health conditions. We categorise vulnerable populations into three specific cohorts: patients with chronic disease, patients with cancer and patients with end-of-life care. We then investigate how each of these cohorts has been impacted by the pandemic. We also identify each cohort from an analytics perspective by leveraging various data collection strategies and analytical methods. The goals of this paper are to provide evidence on how to improve the quality of life for vulnerable populations and to inform a national response strategy for future pandemics, which seems inevitable in a highly globalised economy.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/175189