Open AccessCounty-level predictors of retention in care status among people living with HIV in South Carolina from 2010 to 2016: a data-driven approach
Author(s) -
Chengbo Zeng,
Jiajia Zhang,
Xiaowen Sun,
Zhenlong Li,
Sharon Weissman,
Bankole Olatosi,
Xiaoming Li
Publication year - 2021
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/qad.0000000000002832
Subject(s) - demography , geospatial analysis , geography , lasso (programming language) , public health , medicine , ecological study , linear regression , gerontology , statistics , environmental health , population , cartography , mathematics , sociology , computer science , nursing , world wide web
The aim of this study was to examine the geospatial variation of retention in care (RIC) across the counties in South Carolina (SC) from 2010 to 2016 and identify the relevant county-level predictors.