Lessons learned from HIV can inform our approach to COVID‐19 stigma

Logie, Carmen H.

doi:10.1002/jia2.25504

Cited by 104 publications

(105 citation statements)

References 17 publications

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“…This discourse of blame exploits existing social divisions of religion, race, ethnicity, class, or gender identity" (Jones, 2020(Jones, p. 1682. The journals of a black and an Asian student illustrate the multiple incidents of racism towards domestic and international of Asian descent reported during the recent COVID-19 outbreak (Logie, 2020). Institutional factors identi ed in this study as shaping the experience were similar to those quoted in previous research.…”

Section: Discussionsupporting

confidence: 72%

Teaching And Learning In A Time Of Corona: A Social Work Experience

Berger

2020

Preprint

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Preliminary results of a qualitative study of the lived experience of teaching and learning during the Covid-19 pandemic are presented. An instructor, a program director and five doctoral students in different stages of their coursework and dissertation proposal development, wrote a reflective journal. Participants varied in their levels of familiarity with technology-assisted education, personal backgrounds and circumstances including work, family and caring for sick relatives responsibilities. Participants’ journals documenting their reactions, struggles and coping since the abrupt move of the university from face to face to online classes were content analyzed. The analysis was co-conducted by all participants to identify themes and generate understanding of the experience. Two main themes emerged from the analysis: A developmental process of participants’ reactions, perceptions and meaning making of the experience and factors that shaped it. Lessons learned are discussed and recommendations for professional education and directions for future research are suggested.

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Section: Discussionsupporting

confidence: 72%

Teaching And Learning In A Time Of Corona: A Social Work Experience

Berger

2020

Preprint

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“…As a result, excessive panic will arise before receiving information in detail about Covid-19 pandemic. This condition then make the people easily stigmatizing those considered as vulnerable to this virus chain transmission [23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Community’s Social Construction on Covid-19 Patients with Supervision in Surakarta Indonesia

et al. 2020

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Negative stigma labelled against Covid-19 patients and health workers can worsen Covid-19 management situation. Therefore, this research aimed to analyze Surakarta people’s interpretation on Covid-19 patient and their social construction process on Covid-19 patient in Surakarta Indonesia. This qualitative research with phenomenological research employed purposive sampling technique. Research informants consisted of Surakarta people, Pulmonologists and Nurses in Dr. Moewardi Surakarta Hospital, Chief Executive of Covid-19 Management Acceleration Task force of Surakarta City, etc. Online observation, in-depth interview, and documentation with internet media were used to collect primary and secondary data. Method and data source triangulations were used to validate data. Interactive model of analysis was conducted using Berger’s Social Construction theory. Surakarta People’s social construction on Covid-19 positive patients passed through some process: Externalization process indicated with Surakarta people’s early perception on Covid-19 as a new disease known poorly, thereby generating fear and ignorance among them; Objectification process showing people with varying perspectives on Covid-19 positive patients; and Internalization process finding the subjective reality of Surakarta People on Covid-19 patients affected by objectification stage, later creating interpretation on individual or group having ever interacted with this virus patient.

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“…In Madagascar, surveys indicate that 40.2% of people with respiratory infection symptoms seek healthcare [ 35 ], implying that over 50% of symptomatic COVID-19 infections may not even enter a public health facility. For COVID-like symptoms, this rate could be much lower given the stigma associated with the disease [ 11 ]. The combination of the high proportion of asymptomatic cases and low health-seeking behaviors suggest that, even if health centers test 50% of symptomatic COVID-19 cases attending a health facility, this would detect less than 25% of symptomatic cases.…”

Section: Case Detectionmentioning

confidence: 99%

“…RT-PCR laboratory capacity in SSA is limited [ 9 ] and many countries have among the lowest testing rates in the world [ 8 ]. Moreover, health-care access for fever and respiratory infections is low [ 10 ], which means that many symptomatic cases will not be detected, and the stigma associated with COVID-19 could further reduce health-seeking behaviors [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Reconciling model predictions with low reported cases of COVID-19 in Sub-Saharan Africa: insights from Madagascar

Evans

Garchitorena

Rakotonanahary

et al. 2020

Global Health Action

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COVID-19 has wreaked havoc globally with particular concerns for sub-Saharan Africa (SSA), where models suggest that the majority of the population will become infected. Conventional wisdom suggests that the continent will bear a higher burden of COVID-19 for the same reasons it suffers from other infectious diseases: ecology, socio-economic conditions, lack of water and sanitation infrastructure, and weak health systems. However, so far SSA has reported lower incidence and fatalities compared to the predictions of standard models and the experience of other regions of the world. There are three leading explanations, each with different implications for the final epidemic burden: (1) low case detection, (2) differences in epidemiology (e.g. low R 0 ), and (3) policy interventions. The low number of cases have led some SSA governments to relaxing these policy interventions. Will this result in a resurgence of cases? To understand how to interpret the lower-than-expected COVID-19 case data in Madagascar, we use a simple age-structured model to explore each of these explanations and predict the epidemic impact associated with them. We show that the incidence of COVID-19 cases as of July 2020 can be explained by any combination of the late introduction of first imported cases, early implementation of non-pharmaceutical interventions (NPIs), and low case detection rates. We then re-evaluate these findings in the context of the COVID-19 epidemic in Madagascar through August 2020. This analysis reinforces that Madagascar, along with other countries in SSA, remains at risk of a growing health crisis. If NPIs remain enforced, up to 50,000 lives may be saved. Even with NPIs, without vaccines and new therapies, COVID-19 could infect up to 30% of the population, making it the largest public health threat in Madagascar for the coming year, hence the importance of clinical trials and continually improving access to healthcare.

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Lessons learned from HIV can inform our approach to COVID‐19 stigma

Cited by 104 publications

References 17 publications

Teaching And Learning In A Time Of Corona: A Social Work Experience

Teaching And Learning In A Time Of Corona: A Social Work Experience

Community’s Social Construction on Covid-19 Patients with Supervision in Surakarta Indonesia

Reconciling model predictions with low reported cases of COVID-19 in Sub-Saharan Africa: insights from Madagascar

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