| Literature DB >> 35111977 |
Melati Nungsari1,2, Chuah Hui Yin2, Nicole Fong2, Veena Pillai3.
Abstract
Background: Globally, vulnerable populations have been disproportionately affected by the COVID-19 pandemic and subsequent responses, such as lockdown measures and mass vaccinations. Numerous ethical challenges have arisen at different levels, be it at the policy-making level or on the ground. For example, policymakers have to contain a highly contagious disease with high morbidity using scarce resources, while minimizing the medium- to long-term social and economic impacts induced by containment measures. This study explores the impact of COVID-19 on vulnerable populations in Malaysia by using an intersectional framework that accounts for overlapping forms of marginalization.Entities:
Keywords: aid; aid provision; ethics; government; humanitarian work; policy making; public health; vulnerable group
Year: 2022 PMID: 35111977 PMCID: PMC8785141 DOI: 10.12688/wellcomeopenres.17239.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Details of the interviewees.
| Participant
| State | Community served or a part of | Type of organization |
|---|---|---|---|
| 1 | Sabah | Stateless, LGBTQ+, sex workers | NGO providing aid |
| 2 | Klang Valley | Stateless, indigenous,
| NGO providing aid, case management, education,
|
| 3 | Klang Valley | Refugees | Individual |
| 4 | Sarawak | Indigenous, women | NGO providing aid, case management |
| 5 | Klang Valley | Migrant, refugees, stateless | NGO providing aid, outreach programs, livelihood
|
| 6 | Klang Valley | Refugees, migrants | NGO providing aid, case management |
| 7 | Klang Valley | Refugees | Individual |
| 8 | Klang Valley | Refugees | NGO providing aid, case management, outreach
|
| 9 | Sarawak | Indigenous, urban poor | NGO providing aid, case management |
| 10 | Klang Valley | Migrants, refugees, stateless | NGO providing aid, case management, outreach
|
| 11 | Sarawak | Indigenous persons, urban poor | NGO providing aid |
| 12 | Klang Valley | Migrants, refugees, stateless, women | NGO providing aid, case management, outreach
|
| 13 | Sarawak | Indigenous, rural poor, urban poor | NGO providing aid |
| 14 | Sarawak | Stateless, urban poor | NGO providing aid, case managements, legal aid |
| 15 | Sarawak | Indigenous persons, rural poor,
| NGO providing aid, outreach programs, livelihood
|
| 16 | Klang Valley | Refugees | Business/social enterprise employing refugees |
| 17 | Klang Valley | Refugees | NGO providing aid, case management, education |
| 18 | Sabah | Stateless, indigenous | NGO providing aid, case management, education |
| 19 | Sabah | Stateless, indigenous | NGO providing aid, case management, education |
| 20 | Sabah | Stateless | NGO providing aid, case management, education |
| 21 | Klang Valley | Indigenous | NGO providing aid, case management, education |
| 22 | Klang Valley | Indigenous | NGO providing aid, case management, education |
| 23 | Klang Valley | Stateless | NGO providing aid, case management, education |
| 24 | Klang Valley | Indigenous | NGO providing aid |
| 25 | Sabah | Stateless, indigenous | NGO providing aid, outreach programs, education |
| 26 | Klang Valley | Stateless | NGO providing aid, outreach programs, education |
| 27 | Klang Valley | Refugees, migrants, urban poor | Business employing refugees |
| 28 | Klang Valley | Refugees | Individual |
| 29 | Penang | Refugees | NGO providing aid, access to medical care |
| 30 | Klang Valley | Migrants, refugees, stateless | NGO providing aid, access to medical care |
| 31 | Sabah | Stateless, indigenous | NGO providing aid, legal aid, case management |
| 32 | Klang Valley | Refugees | NGO providing aid |
| 33 | Klang Valley | Indigenous persons | NGO providing aid, outreach programs, case
|
| 34 | Klang Valley | Indigenous persons | Business providing aid and employment for
|
NGO = non-governmental organisation.
The frequency of occurrence of each of the eight themes in the dataset.
n=750.
| Theme (positive [+] / negative [-]) | Frequency | Percentage (%) |
|---|---|---|
| Beneficence (+) | 441 | 58.80 |
| Justice (-) | 258 | 34.40 |
| Autonomy (-) | 242 | 32.27 |
| Beneficence (-) | 240 | 32.00 |
| Autonomy (+) | 239 | 31.87 |
| Non-maleficence (+) | 220 | 29.33 |
| Non-maleficence (-) | 182 | 24.27 |
| Justice (+) | 166 | 22.13 |
Figure 1. The multi-dimensional scaling (MDS) graph for the data, coded using the bioethics framework.
n=750, clustering k=2, with a stress value of 0.026. Auto = autonomy; Just = justice; Ben = beneficence; Non Mal = non-maleficence; Neg = negative; Pos = positive.
Figure 2. The circle representing the main actors of maleficence and non-beneficence during the pandemic.
A breakdown of governmental actors reportedly involved in maleficence and non-beneficence.
| Relevant governmental agents |
|---|
| Immigration officers and the system
|