Research on the Development of Severe Acute Respiratory Syndrome Coronavirus 2 Variants of Concern in People With Advanced Human Immunodeficiency Virus Disease Should Highlight Structural Conditions and Avoid Harmful Stereotypes
Notice bibliographique
Résumé
To theEditor—A growing body of research about the genomic epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) focuses on the potential development of variants of concern in people with advanced human immunodeficiency virus (HIV) disease or AIDS [1–4]. Two recent articles in Clinical Infectious Diseases by Maponga et al and Riddell et al provide early evidence supporting the hypothesis that prolonged SARS-CoV-2 infections in people with advanced HIV disease can lead to the development of concerning SARS-CoV-2 variants [1, 2]. Those authors and others focus on the potential for immunocompromised people to experience lengthy SARS-CoV-2 infections [5, 6]. This can, in some cases, lead to the development of SARS-CoV-2 variants with characteristics conferring greater transmissibility, capacities for immune escape, worsened pathogenicity, and other characteristics that could exacerbate the COVID-19 pandemic [7]. New studies about HIV/SARS-CoV-2 coinfection are welcome. This includes projects that might highlight how people with advanced HIV disease or other immunocompromising conditions could drive troubling forms of SARS-CoV-2 evolution. Indeed, I collaborate with one research group studying these issues in a country with high HIV endemicity. With that group and in other contexts, I work in the role of a social scientist and public health ethicist on issues related to the ethics, practice, and politics of genomic epidemiology [8, 9]. From this vantage, the emerging wave of studies about people with advanced HIV disease potentially harboring more troubling SARS-CoV-2 variants has raised several red flags that merit discussion within the infectious disease community. Specifically, the emergent literature connecting advanced HIV disease to problematic SARS-CoV-2 viral evolution could potentially reinforce longstanding stereotypes about people with HIV as dangerous “carriers” of illnesses and related harmful tropes. This concern is amplified by the fact that papers about this topic have garnered mainstream media attention, including stories highlighting the “danger” angle [10]. However, concerns in this area are not only about language; they also extend to the presentation of the research findings. For example, neither the Maponga et al nor the Riddell et al articles adequately highlight economic and other social and structural determinants of health—such as weak health systems, poverty, and stigma—that cause some people with HIV to not be retained in care and thus to develop AIDS [1, 2]. Studies about the development of SARS-CoV-2 variants in people with AIDS should not only focus on biomedical aspects of specific cases. They should also highlight the inadequate structures of care, economic inequalities, and social systems that lead some people with HIV to develop AIDS because they are not able to access antiretroviral medications and consistent medical care. How can SARS-CoV-2 genomic epidemiology researchers investigating the development of problematic variants in people with HIV ensure that their research does not reinforce harmful stereotypes? How can novel findings about SARS-CoV-2/HIV coinfection be mobilized to address the underlying material conditions that lead some people with HIV—a treatable condition—to unnecessarily develop AIDS? These are some challenges that researchers in this area should address as they build new approaches and as their methods are translated into routine public health practice.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,005 | 0,002 |
| Intégrité de la recherche | 0,016 | 0,022 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».