Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs

Globally, people who inject drugs (PWID) experience some of the fastest-growing HIV epidemics. Network-based approaches represent a powerful tool for understanding and combating these epidemics; however, detailed social network studies are limited and pose analytical challenges. We collected longitu...

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Detalles Bibliográficos
Autores principales: Clipman, Steven J., Mehta, Shruti H., Mohapatra, Shobha, Srikrishnan, Aylur K., Zook, Katie J. C., Duggal, Priya, Saravanan, Shanmugam, Nandagopal, Paneerselvam, Kumar, Muniratnam Suresh, Lucas, Gregory M., Latkin, Carl A., Solomon, Sunil S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Social and Interdisciplinary Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581475/
https://www.ncbi.nlm.nih.gov/pubmed/36260674
http://dx.doi.org/10.1126/sciadv.abf0158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581475/
https://www.ncbi.nlm.nih.gov/pubmed/36260674
http://dx.doi.org/10.1126/sciadv.abf0158

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