Modelling HIV incidence and survival from agespecific seroprevalence after antiretroviral treatment scale-up in rural South Africa

AIDS

Volumn 27, Issue 15, 2013, Pages 2471-2479

  Mossong, Joël ^a   Grapsa, Erofili ^a   Tanser, Frank ^a   Bärnighausen, Till ^a,b   Newell, Marie Louise ^a,c  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Antiretroviral treatment; HIV; Incidence; Mathematical model; Seroprevalence; South Africa; Survival

Indexed keywords

ANTIRETROVIRUS AGENT;

ADOLESCENT; ADULT; ANTIVIRAL THERAPY; ARTICLE; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INCIDENCE; MALE; PRIORITY JOURNAL; SEROPREVALENCE; SOUTH AFRICA; SURVIVAL;

ADOLESCENT; ADULT; AGE DISTRIBUTION; ANTI-RETROVIRAL AGENTS; CROSS-SECTIONAL STUDIES; FEMALE; HIV INFECTIONS; HUMANS; INCIDENCE; MALE; MIDDLE AGED; MODELS, THEORETICAL; RURAL HEALTH; SEX DISTRIBUTION; SOUTH AFRICA; SURVIVAL RATE; YOUNG ADULT;

EID: 84884500651     PISSN: 02699370     EISSN: 14735571     Source Type: Journal    
DOI: 10.1097/01.aids.0000432475.14992.da     Document Type: Article

References (44)

1. Herbst AJ, Mafojane T, Newell ML. Verbal autopsy-based cause-specific mortality trends in rural KwaZulu-Natal, South Africa, 2000-2009. Popul Health Metr 2011; 9:47.
2. Bor J, Herbst AJ, Newell ML, Bärnighausen T. Increases in adult life expectancy in rural South Africa: valuing the scale-up of HIV treatment. Science 2013; 339:961-965.
3. Johnson LF, Mossong J, Dorrington RE, Schomaker M, Hoffmann CJ, Keiser O, et al. Life expectancies of South african adults starting antiretroviral treatment: collaborative analysis of cohort studies. PLoS Med 2013; 10:e1001418.
4. Bärnighausen T, Tanser F, Newell ML. Lack of a decline in HIV incidence in a rural community with high HIV prevalence in South Africa, 2003-2007. AIDS Res Hum Retroviruses 2009; 25:405-409.
5. Zaidi J, Grapsa E, Tanser F, Newell ML, Bärnighausen T. Dramatic increases in HIV prevalence after scale-up of antiretroviral treatment. AIDS 2013[Epub ahead of print].
6. Tanser F, Bärnighausen T, Grapsa E, Zaidi J, Newell ML. High coverage of ART associated with decline in risk of HIV acquisition in rural KwaZulu-Natal, South Africa. Science 2013; 339:966-971.
7. National Strategic Plan for HIV, STIs and TB (2012-2016). Pretoria, South Africa: South African National AIDS Council; 2011; http://www.info.gov.za/view/ DownloadFileAction?id= 155622 (Accessed 11 July 2013).
8. Brookmeyer R. Measuring the HIV/AIDS epidemic: approaches and challenges. Epidemiol Rev 2010; 32:26-37.
9. Bärnighausen T, Tanser F, Gqwede Z, Mbizana C, Herbst K, Newell ML. High HIV incidence in a community with high HIV prevalence in rural South Africa: findings from a prospective population-based study. AIDS 2008; 22:139-144.
10. Bärnighausen T, McWalter TA, Rosner Z, Newell ML, Welte A. HIV incidence estimation using the BED capture enzyme immunoassay: systematic review and sensitivity analysis. Epidemiology 2010; 21:685-697.
11. Bärnighausen T, Wallrauch C, Welte A, McWalter TA, Mbizana N, Viljoen J, 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.
12. Hallett TB, Ghys P, Bärnighausen T, Yan P, Garnett GP. Errors in 'BED'-derived estimates of HIV incidence will vary by place, time and age. PLoS One 2009; 4:e5720.
13. Hallett TB. Estimating the HIV incidence rate: recent and future developments. Curr Opin HIV AIDS 2011; 6:102-107.
14. Muench H. Catalytic models in epidemiology. Cambridge, MA: Harvard University Press; 1959.
15. Hallett TB, Zaba B, Todd J, Lopman B, Mwita W, Biraro S, et al. Estimating incidence from prevalence in generalised HIV epidemics: methods and validation. PLoS Med 2008; 5:e80.
16. Gregson S, Donnelly CA, Parker CG, Anderson RM. Demographic approaches to the estimation of incidence of HIV-1 infection among adults from age-specific prevalence data in stable endemic conditions. AIDS 1996; 10:1689-1697.
17. Sakarovitch C, Alioum A, Ekouevi DK, Msellati P, Leroy V, Dabis F. Estimating incidence of HIV infection in childbearing age African women using serial prevalence data from antenatal clinics. Stat Med 2007; 26:320-335.
18. Williams B, Gouws E, Wilkinson D, Karim SA. Estimating HIV incidence rates from age prevalence data in epidemic situations. Stat Med 2001; 20:2003-2016.
19. White RG, Vynnycky E, Glynn JR, Crampin AC, Jahn A, Mwaungulu F, et al. HIV epidemic trend and antiretroviral treatment need in Karonga District, Malawi. Epidemiol Infect 2007; 135:922-932.
20. Saidel T, Sokal D, Rice J, Buzingo T, Hassig S. Validation of a method to estimate age-specific human immunodeficiency virus (HIV) incidence rates in developing countries using population-based seroprevalence data. Am J Epidemiol 1996; 144:214-223.
21. Fontanet AL, Messele T, Dejene A, Enquselassie F, Abebe A, Cutts FT, et al. Age- and sex-specific HIV-1 prevalence in the urban community setting of Addis Ababa, Ethiopia. AIDS 1998; 12:315-322.
22. Kim AA, Hallett T, Stover J, Gouws E, Musinguzi J, Mureithi PK, et al. Estimating HIV incidence among adults in Kenya and Uganda: a systematic comparison of multiple methods. PLoS One 2011; 6:e17535.
23. Hallett TB, Stover J, Mishra V, Ghys PD, Gregson S, Boerma T. Estimates of HIV incidence from household-based prevalence surveys. AIDS 2010; 24:147-152.
24. Welz T, Hosegood V, Jaffar S, Batzing-Feigenbaum J, Herbst K, Newell ML. Continued very high prevalence of HIV infection in rural KwaZulu-Natal, South Africa: a population-based longitudinal study. AIDS 2007; 21:1467-1472.
25. Tanser F, Hosegood V, Bärnighausen T, Herbst K, Nyirenda M, Muhwava W, et al. Cohort profile: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey. Int J Epidemiol 2008; 37:956-962.
26. Todd J, Glynn JR, Marston M, Lutalo T, Biraro S, Mwita W, et al. Time from HIV seroconversion to death: a collaborative analysis of eight studies in six low and middle-income countries before highly active antiretroviral therapy. AIDS 2007; 21 (Suppl 6):S55-S63.
27. Lopman B, Gregson S. When did HIV incidence peak in Harare, Zimbabwe? Back-calculation from mortality statistics. PLoS One 2008; 3:e1711.
28. Zaba B, Marston M, Crampin AC, Isingo R, Biraro S, Bärnighausen T, et al. Age-specific mortality patterns in HIV-infected individuals: a comparative analysis of African community study data. AIDS 2007; 21 (Suppl 6):S87-S96.
29. Grenfell BT, Anderson RM. The estimation of age-related rates of infection from case notifications and serological data. J Hyg (Lond) 1985; 95:419-436.
30. R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2011.
31. Podgor MJ, Leske MC. Estimating incidence from age-specific prevalence for irreversible diseases with differential mortality. Stat Med 1986; 5:573-578.
32. Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ 2003; 326:219.
33. Rehle TM, Hallett TB, Shisana O, Pillay-van Wyk V, Zuma K, Carrara H, et al. A decline in new HIV infections in South Africa: estimating HIV incidence from three national HIV surveys in 2002, 2005 and 2008. PLoS One 2010; 5:e11094.
34. McGovern M, Newell ML, Tanser F, Canning D, Bärnighausen T. Accounting for selection effect in HIV prevalence estimation in the era of expanding ART access. Working Paper. Mtubatuba: South Africa: Africa Centre for Health and Population Studies; 2013.
35. Herbst AJ, Cooke GS, Bärnighausen T, KanyKany A, Tanser F, Newell ML. Adult mortality and antiretroviral treatment rollout in rural KwaZulu-Natal, South Africa. Bull World Health Organ 2009; 87:754-762.
36. Ndirangu J, Newell ML, Tanser F, Herbst AJ, Bland R. Decline in early life mortality in a high HIV prevalence rural area of South Africa: evidence of HIV prevention or treatment impact? AIDS 2010; 24:593-602.
37. Ott MQ, Bärnighausen T, Tanser F, Lurie MN, Newell ML. Age-gaps in sexual partnerships: seeing beyond 'sugar daddies'. AIDS 2011; 25:861-863.
38. Gregson S, Nyamukapa CA, Garnett GP, Mason PR, Zhuwau T, Carael M, et al. Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe. Lancet 2002; 359:1896-1903.
39. Farrington CP, Whitaker HJ. Contact surface models for infectious diseases: estimation from serologic survey data. J Am Stat Assoc 2005; 100:370-379.
40. Anderson RM, May RM. Infectious diseases of humans. Dynamics and control. Oxford: Oxford University Press; 1991.
41. Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R, et al. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med 2008; 5:e74.
42. Brookmeyer R, Konikoff J. Statistical considerations in determining HIV incidence from changes in HIV prevalence. Stat Commun Infect Dis 2011:3See http://www.degruyter.com/view/j/scid.2011.3.issue-1/1948-4690.1044/1948-4690. 1044.xml?format=INT.
43. Eaton JW, Johnson LF, Salomon JA, Bärnighausen T, Bendavid E, Bershteyn A, et al. HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa. PLoS Med 2012; 9:e1001245.
44. Keiding N. Age-specific incidence and prevalence: a statistical perspective. J Roy Stat Soc Series A (Statistics in Society) 1991; 154:371-412.