An important component underlying the disparity in HIV risk between race/ethnic groups is the preferential transmission between individuals in the same group. We sought to quantify transmission between different race/ethnicity groups and measure racial assortativity in HIV transmission networks in major metropolitan areas in the United States. We reconstructed HIV molecular transmission networks from viral sequences collected as part of HIV surveillance in New York City, Los Angeles County, and Cook County, Illinois.
View Article and Find Full Text PDFBackground: Early diagnosis of HIV is important for the prevention of ongoing transmission and development of HIV-related illness. The purpose of this study is to develop an outcome indicator to monitor the progress in early HIV diagnosis.
Methods: Persons diagnosed with HIV in New York City and their first CD4 test results were used to estimate the distribution of HIV diagnosis delay, based on a CD4 count depletion model.
Background: HIV-1 genetic sequences can be used to infer viral transmission history and dynamics. Throughout the United States, HIV-1 sequences from drug resistance testing are reported to local public health departments.
Methods: We investigated whether inferred HIV transmission network dynamics can identify individuals and clusters of individuals most likely to give rise to future HIV cases in a surveillance setting.
Background: Sexually transmitted infections spread across contact networks. Partner elicitation and notification are commonly used public health tools to identify, notify, and offer testing to persons linked in these contact networks. For HIV-1, a rapidly evolving pathogen with low per-contact transmission rates, viral genetic sequences are an additional source of data that can be used to infer or refine transmission networks.
View Article and Find Full Text PDFObjective: To estimate HIV incidence in the United States using a newly developed method.
Methods: The analysis period (2002-2011) was broken down into 3-year periods with overlaps, and HIV incidence was estimated based on the relationship between number of new diagnoses and HIV incidence in each of these 3-year periods, by assuming that all HIV infections would eventually be diagnosed and within each 3-year period HIV incidence and case finding were stable.
Results: The estimated HIV incidence in the United States decreased from 52,721 (range: 47,449-57,993) in 2003 to 39,651 (range: 35,686-43,617) in 2010, among males from 38,164 (range: 35,051-42,840) to 33,035 (range: 29,088-35,553), and among females from 13,557 (range: 12,133-14,830) to 6616 (range: 5825 to 7120).
J Acquir Immune Defic Syndr
April 2015
Background: HIV transmitted drug resistance (TDR) is a public health concern because it has the potential to compromise antiretroviral therapy (ART) at the population level. In New York State, high prevalence of TDR in a local cohort and a multiclass resistant case cluster led to the development and implementation of a statewide resistance surveillance system.
Methodology: We conducted a cross-sectional analysis of the 13,109 cases of HIV infection that were newly diagnosed and reported in New York State between 2006 and 2008, including 4,155 with HIV genotypes drawn within 3 months of initial diagnosis and electronically reported to the new resistance surveillance system.
Background: Recent improvements in the sensitivity of immunoassays (IA) used for HIV screening, coupled with increasing recognition of the importance of rapid point-of-care testing, have led to proposals to adjust the algorithm for serodiagnosis of HIV so that screening and confirmation can be performed using a dual or triple IA sequence that does not require Western blotting for confirmation. One IA that has been proposed as a second or confirmatory test is the Bio-Rad Multispot(®) Rapid HIV-1/HIV-2 Test. This test would have the added advantage of differentiating between HIV-1 and HIV-2 antibodies.
View Article and Find Full Text PDFBackground: Antibody cross-reactivity complicates differential diagnosis of human immunodeficiency virus (HIV) type 2 (HIV-2) using standard serologic screening and confirmatory tests for HIV. HIV type 1 (HIV-1) viral load testing does not detect HIV-2. Although HIV-2 is, in general, less pathogenic than HIV-1, it can lead to immunosuppression and clinical AIDS, and there are important differences in the selection of antiretroviral therapy for HIV-2-related immunosuppression that make it imperative to differentiate between the 2 viruses.
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