INTRODUCTION: The burden of HIV infection and health outcomes for people living with HIV varies across the United States. New methods allow for estimating national and state-level HIV incidence, prevalence, and undiagnosed infections using surveillance data and CD4 values. METHODS: HIV surveillance data reported to the Centers for Disease Control and Prevention and the first CD4 value after diagnosis were used to estimate the distribution of delay from infection to diagnosis based on a well-characterized CD4 depletion model. This distribution was used to estimate HIV incidence, prevalence, and undiagnosed infections during 2010-2014. Estimated annual percentage changes (EAPCs) were calculated to assess trends. RESULTS: During 2010-2014, HIV incidence decreased 10.3% (EAPC = -3.1%) and the percentage of undiagnosed infection decreased from 17.1% to 15.0% (EAPC = -3.3%) in the United States; HIV prevalence increased 9.1% (EAPC = 2.2%). Among 36 jurisdictions with sufficient data to produce stable estimates, HIV incidence decreased in 3 jurisdictions (Georgia, New York, and District of Columbia) and the percentage of undiagnosed HIV infections decreased in 2 states (Texas and Georgia). HIV prevalence increased in 4 states (California, Florida, Georgia, and Texas). In 2014, southern states accounted for 50% of both new HIV infections and undiagnosed infections. CONCLUSION: HIV incidence and undiagnosed infection decreased in the United States during 2010-2014; however, outcomes varied by state and region. Progress in national HIV prevention is encouraging but intensified efforts for testing and treatment are needed in the South and states with high percentages of undiagnosed infection.
INTRODUCTION: The burden of HIV infection and health outcomes for people living with HIV varies across the United States. New methods allow for estimating national and state-level HIV incidence, prevalence, and undiagnosed infections using surveillance data and CD4 values. METHODS: HIV surveillance data reported to the Centers for Disease Control and Prevention and the first CD4 value after diagnosis were used to estimate the distribution of delay from infection to diagnosis based on a well-characterized CD4 depletion model. This distribution was used to estimate HIV incidence, prevalence, and undiagnosed infections during 2010-2014. Estimated annual percentage changes (EAPCs) were calculated to assess trends. RESULTS: During 2010-2014, HIV incidence decreased 10.3% (EAPC = -3.1%) and the percentage of undiagnosed infection decreased from 17.1% to 15.0% (EAPC = -3.3%) in the United States; HIV prevalence increased 9.1% (EAPC = 2.2%). Among 36 jurisdictions with sufficient data to produce stable estimates, HIV incidence decreased in 3 jurisdictions (Georgia, New York, and District of Columbia) and the percentage of undiagnosed HIV infections decreased in 2 states (Texas and Georgia). HIV prevalence increased in 4 states (California, Florida, Georgia, and Texas). In 2014, southern states accounted for 50% of both new HIV infections and undiagnosed infections. CONCLUSION: HIV incidence and undiagnosed infection decreased in the United States during 2010-2014; however, outcomes varied by state and region. Progress in national HIV prevention is encouraging but intensified efforts for testing and treatment are needed in the South and states with high percentages of undiagnosed infection.
Authors: Willi McFarland; Paul Wesson; Caitlin Turner; Jess Lin; Maria Amelia de Sousa Mascena Veras; Hongjing Yan; Henry F Raymond; Erin C Wilson Journal: J Acquir Immune Defic Syndr Date: 2020-05-01 Impact factor: 3.771
Authors: Viviane D Lima; Lu Wang; Paul Sereda; Taylor McLinden; Rolando Barrios; Julio S G Montaner Journal: PLoS One Date: 2021-02-12 Impact factor: 3.240
Authors: Jacob W Groenendyk; Adovich S Rivera; Arjun Sinha; Donald M Lloyd-Jones; Matthew J Feinstein Journal: Sci Rep Date: 2021-12-14 Impact factor: 4.379
Authors: Andre F Dailey; Brooke E Hoots; H Irene Hall; Ruiguang Song; Demorah Hayes; Paul Fulton; Joseph Prejean; Angela L Hernandez; Linda J Koenig; Linda A Valleroy Journal: MMWR Morb Mortal Wkly Rep Date: 2017-12-01 Impact factor: 17.586