The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Estimation of HIV Incidence in the United States
Open accessAbstract
CONTEXT: Incidence of human immunodeficiency virus (HIV) in the United States has not been directly measured. New assays that differentiate recent vs long-standing HIV infections allow improved estimation of HIV incidence. OBJECTIVE: To estimate HIV incidence in the United States. DESIGN, SETTING, AND PATIENTS: Remnant diagnostic serum specimens from patients 13 years or older and newly diagnosed with HIV during 2006 in 22 states were tested with the BED HIV-1 capture enzyme immunoassay to classify infections as recent or long-standing. Information on HIV cases was reported to the Centers for Disease Control and Prevention through June 2007. Incidence of HIV in the 22 states during 2006 was estimated using a statistical approach with adjustment for testing frequency and extrapolated to the United States. Results were corroborated with back-calculation of HIV incidence for 1977-2006 based on HIV diagnoses from 40 states and AIDS incidence from 50 states and the District of Columbia. MAIN OUTCOME MEASURE: Estimated HIV incidence. RESULTS: An estimated 39,400 persons were diagnosed with HIV in 2006 in the 22 states. Of 6864 diagnostic specimens tested using the BED assay, 2133 (31%) were classified as recent infections. Based on extrapolations from these data, the estimated number of new infections for the United States in 2006 was 56,300 (95% confidence interval [CI], 48,200-64,500); the estimated incidence rate was 22.8 per 100,000 population (95% CI, 19.5-26.1). Forty-five percent of infections were among black individuals and 53% among men who have sex with men. The back-calculation (n = 1.230 million HIV/AIDS cases reported by the end of 2006) yielded an estimate of 55,400 (95% CI, 50,000-60,800) new infections per year for 2003-2006 and indicated that HIV incidence increased in the mid-1990s, then slightly declined after 1999 and has been stable thereafter. CONCLUSIONS: This study provides the first direct estimates of HIV incidence in the United States using laboratory technologies previously implemented only in clinic-based settings. New HIV infections in the United States remain concentrated among men who have sex with men and among black individuals.
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Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Discrete Multivariate Analysis
(1977) · Technometrics · doi:10.1080/00401706.1977.10489605 · Cited by 1,757
Marks, G., Crepaz, N., Senterfitt, J. W., & Janssen, R. S. (2005) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/01.qai.0000151079.33935.79 · Cited by 1,236
Janssen, R. S. (1998) · JAMA · doi:10.1001/jama.280.1.42 · Cited by 687
(2008) · Encyclopedia of Survey Research Methods · doi:10.4135/9781412963947.n412 · Cited by 618
HIV in the United States at the turn of the century: an epidemic in transition
(2001) · American Journal of Public Health · doi:10.2105/ajph.91.7.1060 · Cited by 471
Crepaz, N., Lyles, C. M., Wolitski, R. J., Passin, W. F., Rama, S. M., Herbst, J. H., Purcell, D. W., Malow, R. M., & Stall, R. (2006) · AIDS · doi:10.1097/01.aids.0000196166.48518.a0 · Cited by 413
Parekh, B. S., Kennedy, M. S., Dobbs, T., Pau, C.-P., Byers, R., Green, T., Hu, D. J., Vanichseni, S., Young, N. L., Choopanya, K., et al. (2002) · AIDS Research and Human Retroviruses · doi:10.1089/088922202753472874 · Cited by 355
(2005) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.294.6.674 · Cited by 293
No Time to Lose: Getting More From HIV Prevention: (720002007-001)
(2001) · PsycEXTRA Dataset · doi:10.1037/e720002007-001 · Cited by 261
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Brown, G. D., Denning, D. W., Gow, N. A. R., Levitz, S. M., Netea, M. G., & White, T. C. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004404 · Cited by 4,284
Estimated HIV Incidence in the United States, 2006–2009
Prejean, J., Song, R., Hernandez, A., Ziebell, R., Green, T., Walker, F., Lin, L. S., An, Q., Mermin, J., Lansky, A., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017502 · Cited by 1,071
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Metadata
- Authors
- Hall, H. I.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2008-08-06
- Volume
- 300
- Issue
- 5
- Pages
- 520
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2119019497
- Cited by
- 1,317
- References
- 26
- FWCI
- 129.17
- Type
- journal article
- Language
- en
- Open access
- green
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