U.S. Centers for Disease Control and Prevention and Health Resources and Services Administration Initiatives to Address Disparate Rates of HIV Infection in the South.

The US South accounted for 51% of annual new HIV infections, 50% of undiagnosed infections and 45% of persons with HIV infection in 2016 while comprising 38% of the population. Myriad structural and contextual factors are associated with HIV-related disparities. This paper describes initiatives and strategies conducted by the Centers for Disease Control and Prevention and Health Resources and Services Administration to identify opportunities and activities addressing the disparity of HIV diagnoses in the South. Targeted HIV prevention and care efforts can change the trajectory of outcomes along the HIV care continuum and reduce HIV-related disparities in the South.

HIV Incidence, Prevalence, and Undiagnosed Infections in U.S. Men Who Have Sex With Men.

Background: HIV infection is a persistent health concern in the United States, and men who have sex with men (MSM) continue to be the most affected population. Objective: To estimate HIV incidence and prevalence and the percentage of undiagnosed HIV infections overall and among MSM. Design: Cross-sectional analysis. Setting: National HIV Surveillance System. Participants: Persons aged 13 years or older with diagnosed HIV infection. Measurements: Data on HIV diagnoses and the first CD4 test result after diagnosis were used to model HIV incidence and prevalence and the percentage of undiagnosed HIV infections from 2008 to 2015 on the basis of a well-characterized CD4 depletion model. Results: Modeled HIV incidence decreased 14.8% overall, from 45 200 infections in 2008 to 38 500 in 2015, and among all transmission risk groups except MSM. The incidence of HIV increased 3.1% (95% CI, 1.6% to 4.5%) per year among Hispanic/Latino MSM (6300 infections in 2008, 7900 in 2015), decreased 2.7% (CI, -3.8% to -1.5%) per year among white MSM (8800 infections in 2008, 7100 in 2015), and remained stable among black MSM at about 10 000 infections. The incidence decreased by 3.0% (CI, -4.2% to -1.8%) per year among MSM aged 13 to 24 years and by 4.7% (CI, -6.2% to -3.1%) per year among those aged 35 to 44 years. Among MSM aged 25 to 34 years, HIV incidence increased 5.7% (CI, 4.4% to 7.0%) per year and among MSM aged 55 years and older, HIV increased 4.1% (CI, 0.8% to 7.4%). The percentage of undiagnosed HIV infections was higher among black, Hispanic/Latino, and younger MSM than white and older MSM, respectively. Limitation: Assumptions of the CD4 depletion model and variability of CD4 values. Conclusion: Expansion of HIV screening to reduce undiagnosed infections and increased access to care and treatment to achieve viral suppression are critical to reduce HIV transmission. Access to prevention methods, such as condoms and preexposure prophylaxis, also is needed, particularly among MSM of color and young MSM. Primary Funding Source: None.

Current and (Potential) Future Effects of the Affordable Care Act on HIV Prevention.

Recent advances in science, program, and policy could better position the nation to achieve its vision of the USA as a place where new HIV infections are rare. Among these developments, passage of the Patient Protection and Affordable Care Act (ACA) in 2010 may prove particularly important, as the health system transformations it has launched offer a supportive foundation for realizing the potential of other advances, both within and beyond the clinical arena. This article summarizes opportunities to expand access to high-impact HIV prevention interventions under the ACA, examines whether available evidence indicates that these opportunities are being realized, and considers potential challenges to further gains for HIV prevention in an era of health reform. This article also highlights the new roles that HIV prevention programs and providers may assume in a health system no longer defined by fragmentation among public health, medical care, and community service providers.

Accomplishments in HIV prevention science: implications for stemming the epidemic.

The past two decades have witnessed substantial advances in the science of preventing HIV infection. Although important issues remain and there is a need for continuing research, arguably the biggest challenge in preventing HIV transmission is the full implementation of existing preventive interventions worldwide.

Tuberculosis in indigenous peoples in the U.S., 2003-2008.

OBJECTIVES: We examined trends and epidemiology of tuberculosis (TB) across racial/ethnic groups to better understand TB disparities in the United States, with particular focus on American Indians/Alaska Natives (AI/ANs) and Native Hawaiians/other Pacific Islanders (NH/PIs). METHODS: We analyzed cases in the U.S. National Tuberculosis Surveillance System and calculated TB case rates among all racial/ethnic groups from 2003 to 2008. Socioeconomic and health indicators for counties in which TB cases were reported came from the Health Resources and Services Administration Area Resource File. RESULTS: Among the 82,836 TB cases, 914 (1.1%) were in AI/ANs and 362 (0.4%) were in NH/PIs. In 2008, TB case rates for AI/ANs and NH/PIs were 5.9 and 14.7 per 100,000 population, respectively, rates that were more than five and 13 times greater than for non-Hispanic white people (1.1 per 100,000 population). From 2003 to 2008, AI/ANs had the largest percentage decline in TB case rates (-27.4%) for any racial/ethnic group, but NH/PIs had the smallest percentage decline (-3.5%). AI/ANs were more likely than other racial/ethnic groups to be homeless, excessively use alcohol, receive totally directly observed therapy, and come from counties with a greater proportion of people living in poverty and without health insurance. A greater proportion of NH/PIs had extrapulmonary disease and came from counties with a higher proportion of people with a high school diploma. CONCLUSIONS: There is a need to develop flexible TB-control strategies that address the social determinants of health and that are tailored to the specific needs of AI/ANs and NH/PIs in the U.S.

Ending the HIV Epidemic in the United States.

A new initiative aims to reduce new infections by 75% within five years.

Changes in Disparities in Estimated HIV Incidence Rates Among Black, Hispanic/Latino, and White Men Who Have Sex With Men (MSM) in the United States, 2010-2015.

BACKGROUND: During 2008-2015, the estimated annual HIV incidence rate in the United States decreased for each transmission risk category, except for men who have sex with men (MSM). Racial/ethnic disparities exist, with higher incidence rates for Black and Hispanic/Latino MSM. SETTING: This analysis examines changes, 2010-2015, in disparities of HIV incidence among Black, Hispanic/Latino and White MSM. METHODS: We compared results from the rate ratio, rate difference, weighted and unweighted index of disparity, and population attributable proportion. We calculated incidence rates for MSM using HIV surveillance data and published estimates of the MSM population in the United States. We generated 95% confidence intervals for each measure and used the Z statistic and associated P values to assess statistical significance. FINDINGS: Results from all but one measure, Black-to-White rate difference, indicate that racial/ethnic disparities increased during 2010-2015; not all results were statistically significant. There were statistically significant increases in the Hispanic/Latino-to-White MSM incidence rate ratio (29%, P < 0.05), weighted index of disparity with the rate for White MSM as the referent group (9%, P < 0.05), and the population attributable proportion index (10%, P < 0.05). If racial/ethnic disparities among MSM had been eliminated, a range of 55%-61% decrease in overall MSM HIV incidence would have been achieved during 2010-2015. CONCLUSIONS: A large reduction in overall annual HIV incidence among MSM can be achieved by eliminating racial/ethnic disparities among MSM. Removing social and structural causes of racial/ethnic disparities among MSM can be effective in reducing overall annual HIV incidence among MSM.

Achieving Greater HIV Prevention Impact Through CDC's National HIV Behavioral Surveillance System.

The National HIV Behavioral Surveillance system was designed to monitor risk factors for HIV infection and HIV prevalence among individuals at higher risk for HIV infection, that is, sexually active men who have sex with men who attend venues, persons who recently injected drugs, and heterosexuals of low socioeconomic status living in urban areas. These groups were selected as priorities for behavioral surveillance because they represent the major HIV transmission routes and the populations with the highest HIV burden. Accurate data on the behaviors in these populations are critical for understanding trends in HIV infections and planning and evaluating effective HIV prevention activities. The articles in this supplement illustrate how National HIV Behavioral Surveillance data can be used to assess HIV risk behaviors, prevalence, and service utilization of the populations most affected by HIV in the United States and guide local and national high-impact prevention strategies to meet national HIV prevention goals.

HIV Trends in the United States: Diagnoses and Estimated Incidence.

BACKGROUND: The best indicator of the impact of human immunodeficiency virus (HIV) prevention programs is the incidence of infection; however, HIV is a chronic infection and HIV diagnoses may include infections that occurred years before diagnosis. Alternative methods to estimate incidence use diagnoses, stage of disease, and laboratory assays of infection recency. Using a consistent, accurate method would allow for timely interpretation of HIV trends. OBJECTIVE: The objective of our study was to assess the recent progress toward reducing HIV infections in the United States overall and among selected population segments with available incidence estimation methods. METHODS: Data on cases of HIV infection reported to national surveillance for 2008-2013 were used to compare trends in HIV diagnoses, unadjusted and adjusted for reporting delay, and model-based incidence for the US population aged ≥13 years. Incidence was estimated using a biomarker for recency of infection (stratified extrapolation approach) and 2 back-calculation models (CD4 and Bayesian hierarchical models). HIV testing trends were determined from behavioral surveys for persons aged ≥18 years. Analyses were stratified by sex, race or ethnicity (black, Hispanic or Latino, and white), and transmission category (men who have sex with men, MSM). RESULTS: On average, HIV diagnoses decreased 4.0% per year from 48,309 in 2008 to 39,270 in 2013 (P<.001). Adjusting for reporting delays, diagnoses decreased 3.1% per year (P<.001). The CD4 model estimated an annual decrease in incidence of 4.6% (P<.001) and the Bayesian hierarchical model 2.6% (P<.001); the stratified extrapolation approach estimated a stable incidence. During these years, overall, the percentage of persons who ever had received an HIV test or had had a test within the past year remained stable; among MSM testing increased. For women, all 3 incidence models corroborated the decreasing trend in HIV diagnoses, and HIV diagnoses and 2 incidence models indicated decreases among blacks and whites. The CD4 and Bayesian hierarchical models, but not the stratified extrapolation approach, indicated decreases in incidence among MSM. CONCLUSIONS: HIV diagnoses and CD4 and Bayesian hierarchical model estimates indicated decreases in HIV incidence overall, among both sexes and all race or ethnicity groups. Further progress depends on effectively reducing HIV incidence among MSM, among whom the majority of new infections occur.

County-Level Vulnerability Assessment for Rapid Dissemination of HIV or HCV Infections Among Persons Who Inject Drugs, United States.

OBJECTIVE: A recent HIV outbreak in a rural network of persons who inject drugs (PWID) underscored the intersection of the expanding epidemics of opioid abuse, unsterile injection drug use (IDU), and associated increases in hepatitis C virus (HCV) infections. We sought to identify US communities potentially vulnerable to rapid spread of HIV, if introduced, and new or continuing high rates of HCV infections among PWID. DESIGN: We conducted a multistep analysis to identify indicator variables highly associated with IDU. We then used these indicator values to calculate vulnerability scores for each county to identify which were most vulnerable. METHODS: We used confirmed cases of acute HCV infection reported to the National Notifiable Disease Surveillance System, 2012-2013, as a proxy outcome for IDU, and 15 county-level indicators available nationally in Poisson regression models to identify indicators associated with higher county acute HCV infection rates. Using these indicators, we calculated composite index scores to rank each county's vulnerability. RESULTS: A parsimonious set of 6 indicators were associated with acute HCV infection rates (proxy for IDU): drug-overdose deaths, prescription opioid sales, per capita income, white, non-Hispanic race/ethnicity, unemployment, and buprenorphine prescribing potential by waiver. Based on these indicators, we identified 220 counties in 26 states within the 95th percentile of most vulnerable. CONCLUSIONS: Our analysis highlights US counties potentially vulnerable to HIV and HCV infections among PWID in the context of the national opioid epidemic. State and local health departments will need to further explore vulnerability and target interventions to prevent transmission.

Understanding the burden of tuberculosis among American Indians/Alaska Natives in the U.S.: a validation study.

OBJECTIVE: We validated cases of active tuberculosis (TB) recorded in the Indian Health Service (IHS) National Patient Information Reporting System (NPIRS) and evaluated the completeness of TB case reporting from IHS facilities to state health departments. METHODS: We reviewed the medical records of American Indian/Alaska Native (AI/AN) patients at IHS health facilities who were classified as having active TB using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes from 2006 to 2009 for clinical and laboratory evidence of TB disease. Individuals were reclassified as having active TB disease; recent latent TB infection (LTBI); past positive tuberculin skin test (TST) only; or as having no evidence of TB, LTBI, or a past positive TST. We compared validated active TB cases with corresponding state records to determine if they were reported. RESULTS: The study included 596 patients with active TB as per ICD-9-CM codes. Based on chart review, 111 (18.6%) had active TB; 156 (26.2%) had LTBI; 104 (17.4%) had a past positive TST; and 221 (37.1%) had no evidence of TB disease, LTBI, or a past positive TST. Of the 111 confirmed cases of active TB, 89 (80.2%) resided in participating states; 81 of 89 (91.2%) were verified as reported TB cases. CONCLUSIONS: ICD-9-CM codes for active TB disease in the IHS NPIRS do not accurately reflect the burden of TB among AI/ANs. Most confirmed active TB cases in the IHS health system were reported to the state; the national TB surveillance system may accurately represent the burden of TB in the AI/AN population.

What we are watching--five top global infectious disease threats, 2012: a perspective from CDC's Global Disease Detection Operations Center.

Disease outbreaks of international public health importance continue to occur regularly; detecting and tracking significant new public health threats in countries that cannot or might not report such events to the global health community is a challenge. The Centers for Disease Control and Prevention's (CDC) Global Disease Detection (GDD) Operations Center, established in early 2007, monitors infectious and non-infectious public health events to identify new or unexplained global public health threats and better position CDC to respond, if public health assistance is requested or required. At any one time, the GDD Operations Center actively monitors approximately 30-40 such public health threats; here we provide our perspective on five of the top global infectious disease threats that we were watching in 2012: 1 avian influenza A (H5N1), 2 cholera, 3 wild poliovirus, 4 enterovirus-71, and 5 extensively drug-resistant tuberculosis11†Current address: Division of Integrated Biosurveillance, Armed Forces Health Surveillance Center, US Department of Defense, Silver Spring, MD, USA.