Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships | Zendy

Damien C. Tully | Zendy; Judith A. Hahn | Zendy; David J. Bean | Zendy; Jennifer L. Evans | Zendy; Meghan D. Morris | Zendy; Kimberly Page | Zendy; Todd M. Allen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships

Author(s) -

Damien C. Tully,

Judith A. Hahn,

David J. Bean,

Jennifer L. Evans,

Meghan D. Morris,

Kimberly Page,

Todd M. Allen

Publication year - 2021

Publication title -

clinical infectious diseases

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciab596

Subject(s) - transmission (telecommunications) , phylogenetic tree , deep sequencing , virology , sexual transmission , identification (biology) , medicine , dyad , phylogenetics , evolutionary biology , biology , demography , environmental health , genetics , human immunodeficiency virus (hiv) , gene , ecology , genome , computer science , social psychology , psychology , telecommunications , microbicide , sociology

The current opioid epidemic across the United States has fueled a surge in the rate of new hepatitis C virus (HCV) infections among young persons who inject drugs (PWIDs). Paramount to interrupting transmission is targeting these high-risk populations and understanding the underlying network structures facilitating transmission within these communities.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research