Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response.
Curr HIV/AIDS Rep
; 21(4): 208-219, 2024 Aug.
Article
en En
| MEDLINE
| ID: mdl-38916675
ABSTRACT
PURPOSE OF REVIEW Big Data Science can be used to pragmatically guide the allocation of resources within the context of national HIV programs and inform priorities for intervention. In this review, we discuss the importance of grounding Big Data Science in the principles of equity and social justice to optimize the efficiency and effectiveness of the global HIV response. RECENT FINDINGS:
Social, ethical, and legal considerations of Big Data Science have been identified in the context of HIV research. However, efforts to mitigate these challenges have been limited. Consequences include disciplinary silos within the field of HIV, a lack of meaningful engagement and ownership with and by communities, and potential misinterpretation or misappropriation of analyses that could further exacerbate health inequities. Big Data Science can support the HIV response by helping to identify gaps in previously undiscovered or understudied pathways to HIV acquisition and onward transmission, including the consequences for health outcomes and associated comorbidities. However, in the absence of a guiding framework for equity, alongside meaningful collaboration with communities through balanced partnerships, a reliance on big data could continue to reinforce inequities within and across marginalized populations.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Infecciones por VIH
/
Ciencia de los Datos
/
Macrodatos
Límite:
Humans
Idioma:
En
Revista:
AIDS Rep
Asunto de la revista:
SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS)
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos