Open Access
Joint Modeling in Detecting Predictors of CD4 Cell Count and Status of Tuberculosis Among People Living with HIV/AIDS Under HAART at Felege Hiwot Teaching and Specialized Hospital, North-West Ethiopia
Author(s) -
Setegn Bayabil,
Awoke Seyoum Tegegne
Publication year - 2021
Publication title -
hiv/aids
Language(s) - English
Resource type - Journals
ISSN - 1179-1373
DOI - 10.2147/hiv.s307069
Subject(s) - medicine , tuberculosis , human immunodeficiency virus (hiv) , cross sectional study , immunology , odds ratio , pathology
Globally, for individuals infected with HIV, the presence of other infections including TB tends to increase the rate of HIV replication. Of the 8.8 million TB cases worldwide, an estimated 1.1 million (13%) were found to be co-infected with HIV. This research was conducted with the objective to identify potential predictors for the status of TB and CD4 cell count under PLWHIV at Felege Hiwot Specialized Hospital, North-west Ethiopia.