Ontology highlight
ABSTRACT:
SUBMITTER: Stopka TJ
PROVIDER: S-EPMC9409531 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Stopka Thomas J TJ Yaghi Omar O Li Min M Paintsil Elijah E Chui Kenneth K Landy David D Heimer Robert R
PloS one 20220825 8
Integration of genetic, social network, and spatial data has the potential to improve understanding of transmission dynamics in established HCV epidemics. Sequence data were analyzed from 63 viremic people who inject drugs recruited in the Boston area through chain referral or time-location sampling. HCV subtype 1a was most prevalent (57.1%), followed by subtype 3a (33.9%). The phylogenetic distances between sequences were no shorter comparing individuals within versus across networks, nor by lo ...[more]