Version 1
: Received: 9 March 2023 / Approved: 20 March 2023 / Online: 20 March 2023 (04:12:15 CET)
How to cite:
Peng, X.; Long, G.; Yan, P.; Tang, W.; Clarke, A. COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review. Preprints2023, 2023030341. https://doi.org/10.20944/preprints202303.0341.v1
Peng, X.; Long, G.; Yan, P.; Tang, W.; Clarke, A. COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review. Preprints 2023, 2023030341. https://doi.org/10.20944/preprints202303.0341.v1
Peng, X.; Long, G.; Yan, P.; Tang, W.; Clarke, A. COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review. Preprints2023, 2023030341. https://doi.org/10.20944/preprints202303.0341.v1
APA Style
Peng, X., Long, G., Yan, P., Tang, W., & Clarke, A. (2023). COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review. Preprints. https://doi.org/10.20944/preprints202303.0341.v1
Chicago/Turabian Style
Peng, X., Wensi Tang and Allison Clarke. 2023 "COVID-19 Impact Analysis on Patients with Complex Health Conditions: A Literature Review" Preprints. https://doi.org/10.20944/preprints202303.0341.v1
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 (e.g. 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.
Keywords
COVID-19 pandemic; impact analysis; data analytics; health care; vulnerable cohort; complex health condition
Subject
Medicine and Pharmacology, Oncology and Oncogenics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
