A new general biomarker-based incidence estimator

Epidemiology

Volumn 23, Issue 5, 2012, Pages 721-728

  Kassanjee, Reshma ^a,b   McWalter, Thomas A ^a,b   Bärnighausen, Till ^c,d   Welte, Alex ^a  

^a STELLENBOSCH UNIVERSITY   (South Africa)

^b UNIVERSITY OF THE WITWATERSRAND   (South Africa)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; CONFIDENCE INTERVAL; DEMOGRAPHY; DISEASE MARKER; EPIDEMIOLOGICAL DATA; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MATHEMATICAL ANALYSIS; MORBIDITY; PATIENT CODING; POPULATION RESEARCH; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

BIOLOGICAL MARKERS; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; HEALTH SURVEYS; HIV INFECTIONS; HUMANS; INCIDENCE; LIKELIHOOD FUNCTIONS; TIME FACTORS;

EID: 84864866572     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0b013e3182576c07     Document Type: Article

References (32)

1. Le Vu S, Pillonel J, Semaille C, et al. Principles and uses of HIV incidence estimation from recent infection testing-a review. Euro Surveill. 2008;13:11-16.
2. Murphy G, Parry JV. Assays for the detection of recent infections with human immunodeficiency virus type 1. Euro Surveill. 2008;13:4-10.
3. Busch MP, Pilcher CD, Mastro TD, et al. Beyond detuning: 10 years of progress and new challenges in the development and application of assays for HIV incidence estimation. AIDS. 2010;24:2763-2771.
4. Welte A, McWalter TA, Laeyendecker O, Hallett TB. Using tests for recent infection to estimate incidence: problems and prospects for HIV. Euro Surveill. 2010;15:pii 19589.
5. Brookmeyer R, Quinn TC. Estimation of current human immunodeficiency virus incidence rates from a cross-sectional survey using early diagnostic tests. Am J Epidemiol. 1995;141:166-172.
6. Janssen RS, Satten GA, Stramer SL, et al. New testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes. JAMA. 1998;280:42-48.
7. Kaplan EH, Brookmeyer R. Snapshot estimators of recent HIV incidence rates. Oper Res. 1999;47:29-37.
8. Parekh BS, McDougal JS. New approaches for detecting recent HIV-1 infection. AIDS Rev. 2001;3:183-193.
9. McDougal JS, Parekh BS, Peterson ML, et al. Comparison of HIV type 1 incidence observed during longitudinal follow-up with incidence estimated by cross-sectional analysis using the BED capture enzyme immunoassay. AIDS Res Hum Retroviruses. 2006;22:945-952.
10. Hargrove JW, Humphrey JH, Mutasa K, et al. Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay. AIDS. 2008;22:511-518.
11. Welte A. Relating incidence to 'recent infection' prevalence: Application to HIV. S Afr J Sci. 2008;104:199-202.
12. Balasubramanian R, Lagakos SW. Estimating HIV incidence based on combined prevalence testing. Biometrics. 2010;66:1-10.
13. Wang R, Lagakos SW. On the use of adjusted cross-sectional estimators of HIV incidence. J Acquir Immune Defic Syndr. 2009;52:538-547.
14. McWalter TA, Welte A. Relating recent infection prevalence to incidence with a sub-population of assay non-progressors. J Math Biol. 2010;60:687-710. Also see Poster MOPDB105 at: 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention; 19-22 July, 2009; South Africa.
15. McWalter TA, Kassanjee R, Welte A. Incidence from cross-sectional surveys: improved characterization of tests for recent infection. E-poster CDC0473 at: XVIII International AIDS Conference; 18-23 July, 2010; Austria.
16. McKeown K, Jewel NP. Current status observation of a three-state counting process with application to simultaneous accurate and diluted HIV test data. Can J Stat. 2011;39:475-487.
17. McWalter TA, Welte A. A comparison of biomarker based incidence estimators. PLoS One. 2009;4:e7368. doi: 10.1371/journal.pone. 0020027.
18. Brookmeyer R. Should biomarker estimates of HIV incidence be adjusted? AIDS. 2009;23:485-491.
19. Hargrove JW. BED estimates of HIV incidence must be adjusted (correspondence). AIDS. 2009;23:2061-2062.
20. McDougal JS. BED estimates of HIV incidence must be adjusted (correspondence). AIDS. 2009;23:2064-2065.
21. Welte A, McWalter TA, Bärnighausen T. Reply to 'Should biomarker estimates of HIV incidence be adjusted?' (correspondence). AIDS. 2009;23:2062-2063.
22. Bärnighausen T, McWalter TA, Rosner Z, Newell M-L, Welte A. HIV incidence estimation using the BED capture enzyme immunoassay: systematic review and sensitivity analysis. Epidemiology. 2010;21:685-697.
23. Hayashida T, Gatanaga H, Tanuma J, Oka S. Effects of low HIV type 1 load and antiretroviral treatment on IgG-capture BED-enzyme immunoassay. AIDS Res Hum Retroviruses. 2008;24:495-498.
24. Marinda ET, Hargrove J, Preiser W, et al. Significantly diminished long-term specificity of the BED capture enzyme immunoassay among patients with HIV-1 with very low CD4 counts and those on antiretroviral therapy. J Acquir Immune Defic Syndr. 2010;53:496-499.
25. Hladik W, Olara D, Mermin J, et al. Effect of CD4() T cell count and antiretroviral treatment on two serological HIV incidence assays. AIDS Res Hum Retroviruses. 2012;28:95-99.
26. Laeyendecker O, Rothman RE, Henson C, et al. The effect of viral suppression on cross-sectional incidence testing in the Johns Hopkins Hospital emergency department. J Acquir Immune Defic Syndr. 2008; 48:211-215.
27. Brookmeyer R. On the statistical accuracy of biomarker assays for HIV incidence. J Acquir Immune Defic Syndr. 2010;54:406-414.
28. Hallett TB. Estimating the HIV incidence rate: recent and future developments. Curr Opin HIV AIDS. 2011;6:102-107.
29. Braunstein SL, Nash D, Kim AA, et al. Dual testing algorithm of BED-CEIA and AxSYM avidity index assays performs best in identifying recent HIV infection in a sample of Rwandan sex workers. PLoS One. 2011;6:e18402. doi:10.1371/journal.pone.0018402.
30. Curtis K, Kennedy S, Charurat ME, et al. Development and characterization of a bead-based, multiplex assay for estimation of recent HIV-1 infection. AIDS Res Hum Retroviruses. 2012;28:188-197.
31. Bärnighausen T, Wallrauch C, Welte A, et al. HIV incidence in Rural South Africa: comparison of estimates from longitudinal surveillance and cross-Sectional cBED assay testing. PLoS One. 2008;3:e3640. doi:10.1371/journal. pone.0003640.
32. Sommen C, Commenges D, Le Vu S, Meyer L, Alioum A. Estimation of the distribution of infection times using longitudinal serological markers of HIV: implications for the estimation of HIV incidence. Biometrics. 2011;67:467-475.