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

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

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.

Afiliação

Clipman SJ; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mehta SH; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mohapatra S; YR Gaitonde Centre for AIDS Research and Education (YRGCARE), Chennai, India.
Srikrishnan AK; YR Gaitonde Centre for AIDS Research and Education (YRGCARE), Chennai, India.
Zook KJC; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Duggal P; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Saravanan S; YR Gaitonde Centre for AIDS Research and Education (YRGCARE), Chennai, India.
Nandagopal P; YR Gaitonde Centre for AIDS Research and Education (YRGCARE), Chennai, India.
Kumar MS; YR Gaitonde Centre for AIDS Research and Education (YRGCARE), Chennai, India.
Lucas GM; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Latkin CA; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Solomon SS; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Sci Adv ; 8(42): eabf0158, 2022 Oct 21.

Article em En | MEDLINE | ID: mdl-36260674

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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