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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
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 |
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