Producing HIV estimates: From global advocacy to country planning and impact measurement

Global Health Action

Volumn 10, Issue , 2017, Pages

  Mahy, Mary ^a   Brown, Tim ^b   Stover, John ^c   Walker, Neff ^d   Stanecki, Karen ^e   Kirungi, Wilford ^f   Garcia Calleja, Txema ^g   Ghys, Peter D ^a  

^a UNAIDS   (Switzerland)

^b EAST WEST CENTER   (United States)

^c AVENIR HEALTH   (United States)

^d JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^e Independent Consultant   (United States)

^f MINISTRY OF HEALTH   (Uganda)

^g WORLD HEALTH ORGANIZATION   (Switzerland)

Author keywords

Estimation; HIV; Models; Strategic information

Indexed keywords

GLOBAL HEALTH; HEALTH STATUS INDICATOR; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; PUBLIC HEALTH; STATISTICS AND NUMERICAL DATA;

GLOBAL HEALTH; HEALTH STATUS INDICATORS; HIV INFECTIONS; HUMANS; PUBLIC HEALTH;

EID: 85028944496     PISSN: None     EISSN: 16549880     Source Type: Journal    
DOI: 10.1080/16549716.2017.1291169     Document Type: Article

References (71)

1. Garnett GP, Cousens S, Hallett TB, et al. Mathematical models in the evaluation of health programmes. Lancet. 2011 Aug 6;378:515-525.
2. Winslow CE. The untilled fields of public health. Science. 1920 Jan 9;51:23-33.
3. Hallett TB, White PJ, Garnett GP. Appropriate evaluation of HIV prevention interventions: from experiment to full-scale implementation. Sex Transm Infect. 2007 Aug;83:i55-i60.
4. Diaz T, Garcia-Calleja JM, Ghys PD, et al. Advances and future directions in HIV surveillance in low-and middle-income countries. Curr Opin HIV AIDS. 2009 Jul;4:253-259.
5. UNAIDS. Focus on population and location. Geneva: UNAIDS; 2015.
6. Bezemer D, Cori A, Ratmann O, et al. Dispersion of the HIV-1 epidemic in men who have sex with men in the netherlands: a combined mathematical model and phylogenetic analysis. Plos Med. 2015;12:e1001898; discussion e.
7. Caro-Vega Y, del Rio C, Lima VD, et al. Estimating the impact of earlier ART initiation and increased testing coverage on HIV transmission among men who have sex with men in Mexico using a mathematical model. Plos ONE. 2015;10:e0136534.
8. Luo S, Han L, Lu H, et al. Evaluating the impact of test-and-treat on the HIV epidemic among MSM in China using a mathematical model. Plos ONE. 2015;10:e0126893.
9. Garnett GP. An introduction to mathematical models in sexually transmitted disease epidemiology. Sex Transm Infect. 2002 Feb;78:7-12.
10. Duncan J, Beckford Jarrett S, Harvey K. Using estimation and projection package and spectrum for Jamaica's national HIV estimates and targets. Sex Transm Infect. 2010 Dec 1;86:ii43-ii47.
11. Heaton LM, Bouey PD, Fu J, et al. Estimating the impact of the US President's Emergency Plan for AIDS Relief on HIV treatment and prevention programmes in Africa. Sex Transm Infect. 2015 Dec;91:615-620.
12. The Global Fund to Fight AIDS Tuberculosis and Malaria. Allocation methodology 2017-2019. Geneva: The Global Fund for AIDS Tuberculosis and Malaria; 2016 cited 2016 Dec 20. Available from: https://mail. google.com/mail/u/0/#search/tim%40hawaii.edu/ 1590973e9d5d9d83?projector=1
13. Mahy M, Nzima M, Ogungbemi MK, et al. Redefining the HIV epidemic in Nigeria: from national to state level. AIDS. 2014 Nov;28:S461-S467.
14. World Health Organization. The utility of estimates for health monitoring and decision-making: global, regional and country perspectives. World Health Organization: Geneva; 2015 cited 2016 Aug 1. Available from: http://apps.who.int/iris/bitstream/10665/ 182163/1/WHO_HIS_HSI_2015.7_eng.pdf?ua=1ua=1
15. Chin J. Global estimates of HIV infections and AIDS cases: 1991. AIDS. 1991;5:S57-S62.
16. Burton AH, Mertens TE. Provisional country estimates of prevalent adult human immunodeficiency virus infections as of end 1994: a description of the methods. Int J Epidemiol. 1998 Feb;27:101-107.
17. Schwärtlander B, Stanecki KA, Brown T, et al. Countryspecific estimates and models of HIV and AIDS:methods and limitations. AIDS. 1999 Dec 3;13:2445-2458.
18. McNeil DG The nation: no limit, writing the bill for global AIDS. The New York Times. 2000 Jul 2. Available from: http://www.nytimes.com/2000/07/02/ weekinreview/the-nation-no-limit-writing-the-billfor-global-aids.html
19. UNAIDS Reference Group on Estimates Modelling and Projections. Improved methods and assumptions for estimation of the HIV/AIDS epidemic and its impact: recommendations of the UNAIDS Reference Group on Estimates, Modelling and Projections. AIDS. 2002 Jun 14;16:W1-W14.
20. Garnett GP, Grassly NC, Boerma JT, et al. Maximising the global use of HIV surveillance data through the development and sharing of analytical tools. Sex Transm Infect. 2004 Aug;80:i1-i4.
21. Ghys PD, Walker N, Garnett GP. Improving analysis of the size and dynamics of AIDS epidemics. Sex Transm Infect. 2006 Jun;82:iii1-iii2.
22. Ghys PD, Walker N, McFarland W, et al. Improved data, methods and tools for the 2007 HIV and AIDS estimates and projections. Sex Transm Infect. 2008 Aug;84:i1-i4.
23. Ghys PD, Garnett GP. The 2009 HIV and AIDS estimates and projections: methods, tools and analyses. Sex Trans Infect. 2010 Dec 1;86:ii1-ii2.
24. Stanecki K, Garnett GP, Ghys PD. Developments in the field of HIV estimates: methods, parameters and trends. Sex Transm Infect. 2012 Dec;88:i1-i2.
25. Case KK, Hallett TB, Gregson S, et al. Development and future directions for the Joint UnitedNations Programme on HIV/AIDS estimates. AIDS. 2014 Nov;28:S411-S414.
26. Marston M, Becquet R, Zaba B, et al. Net survival of perinatally and postnatally HIV-infected children: a pooled analysis of individual data from sub-Saharan Africa. Int J Epidemiol. 2011;40:385-396.
27. Todd J, Glynn J, Marston M, 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:S55-S63.
28. Zaba B, Marston M, Crampin A, et al. Age-specific mortality patterns in HIV-infected individuals: a comparative analysis of African community study data. AIDS. 2007 Nov;21:S87-S96.
29. Stover J, Walker N, Grassly NC, et al. Projecting the demographic impact of AIDS and the number of people in need of treatment: updates to the Spectrum projection package. Sex Transm Infect. 2006 Jun;82:iii45-iii50.
30. Stover J, Johnson P, Zaba B, et al. The Spectrum projection package: improvements in estimating mortality, ART needs, PMTCT impact and uncertainty bounds. Sex Transm Infect. 2008 Aug;84:i24-i30.
31. Stover J, Johnson P, Hallett T, et al. The Spectrum projection package: improvements in estimating incidence by age and sex, mother-to-child transmission, HIV progression in children and double orphans. Sex Trans Infect. 2010 Dec 1;86:ii16-ii21.
32. Reniers G, Slaymaker E, Nakiyingi-Miiro J, et al. Mortality trends in the era of antiretroviral therapy: evidence from the Network for Analysing Longitudinal Population based HIV/AIDS data on Africa (ALPHA). AIDS. 2014;28:S533-S542.
33. Yiannoutsos CT, Johnson LF, Boulle A, et al. Estimated mortality of adult HIV-infected patients starting treatment with combination antiretroviral therapy. Sex Transm Infect. 2012;88:i33-i43.
34. Ghys PD, Brown T, Grassly NC, et al. The UNAIDS Estimation and Projection Package: a software package to estimate and project national HIV epidemics. Sex Transm Infect. 2004;80:i5-i9.
35. Brown T, Grassly NC, Garnett G, et al. Improving projections at the country level: the UNAIDS Estimation and Projection Package 2005. Sex Transm Infect. 2006 Jun;82:iii34-iii40.
36. Brown T, Salomon JA, Alkema L, et al. Progress and challenges in modelling country-level HIV/AIDS epidemics: the UNAIDS Estimation and Projection Package 2007. Sex Transm Infect. 2008 Aug;84:i5-i10.
37. Gouws E, Mishra V, Fowler TB. Comparison of adult HIV prevalence from national population-based surveys and antenatal clinic surveillance in countries with generalised epidemics: implications for calibrating surveillance data. Sex Transm Infect. 2008 Aug;84:i17-i23.
38. Bao L, Raftery AE. A stochastic infection rate model for estimating and projecting national HIV prevalence rates. Sex Trans Infect. 2010 Dec 1;86:ii93-ii99.
39. Brown T, Bao L, Raftery AE, et al. Modelling HIV epidemics in the antiretroviral era: the UNAIDS Estimation and Projection Package 2009. Sex Trans Infect. 2010 Dec 1;86:ii3-ii10.
40. Hogan DR, Salomon JA. Spline-based modelling of trends in the force of HIV infection, with application to the UNAIDS Estimation and Projection Package. Sex Transm Infect. 2012 Dec;88:i52-i57.
41. Bao L, Salomon JA, Brown T, et al. Modelling national HIV/AIDS epidemics: revised approach in the UNAIDS Estimation and Projection Package 2011. Sex Transm Infect. 2012 Dec;88:i3-i10.
42. Stover J, Brown T, Marston M. Updates to the Spectrum/Estimation and Projection Package (EPP) model to estimate HIV trends for adults and children. Sex Transm Infect. 2012 Dec;88:i11-i16.
43. Eaton JW, Rehle TM, Jooste S, et al. Recent HIV prevalence trends among pregnant women and all women in sub-Saharan Africa: implications for HIV estimates. AIDS. 2014;28:S507-S514.
44. Brown T, Bao L, Eaton JW, et al. Improvements in prevalence trend fitting and incidence estimation in EPP 2013. AIDS. 2014;28:S415-S425.
45. Stover J. Projecting the demographic consequences of adult HIV prevalence trends: the Spectrum Projection Package. Sex Transm Infect. 2004 Aug;80:i14-i18.
46. Chen W-J, Walker N. Fertility of HIV-infected women: insights from Demographic and Health Surveys. Sex Trans Infect. 2010 Dec 1;86:ii22-ii27.
47. Rollins N, Mahy M, Becquet R, et al. Estimates of peripartum and postnatal mother-to-child transmission probabilities of HIV for use in Spectrum and other population-based models. Sex Transm Infect. 2012 Dec;88:i44-i51.
48. Mahy M, Penazzato M, Ciaranello A, et al. Improving estimates of HIV impact among children using the Spectrum AIDS ImpactModule. AIDS. 2017;31:S13-S22.
49. Walker N, Garcia-Calleja JM, Heaton L, et al. Epidemiological analysis of the quality of HIV serosurveillance in the world: how well do we track the epidemic? AIDS. 2001 Aug 17;15:1545-1554.
50. Morgan M, Walker N, Gouws E, et al. Improved plausibility bounds about the 2005 HIV and AIDS estimates. Sex Transm Infect. 2006 Jun;82:iii71-iii77.
51. Todd J, Slaymaker E, Zaba B, et al. Measuring HIVrelated mortality in the first decade of anti-retroviral therapy in sub-Saharan Africa. Global Health Action. 2014;7:24787.
52. Kim AA, Hallett T, Stover J, et al. Estimating HIV incidence among adults in Kenya and Uganda: a systematic comparison of multiple methods. Plos ONE. 2011;6:e17535.
53. Hallett TB, Ghys P, Barnighausen T, et al. Errors in 'BED'-derived estimates of HIV incidence will vary by place, time and age. Plos ONE. 2009;4:e5720.
54. Pandey A, Reddy DC, Ghys PD, et al. Improved estimates of India's HIV burden in 2006. Indian J Med Res. 2009;129:50-58.
55. Rehle T, Johnson L, Hallett T, et al. A comparison of South African national HIV incidence estimates: a critical appraisal of different methods. Plos ONE. 2015;10:e0133255.
56. Grassly NC, Lewis JJC, Mahy M, et al. Comparison of household-survey estimates with projections of mortality and orphan numbers in sub-Saharan Africa in the era of HIV/AIDS. Popul Stud (Camb). 2004;58:207-217.
57. UNAIDS. How many people living with HIV access treatment? 2016 cited 2016 Dec 20. Available from: www.unaids.org
58. Venkatesh KK, Kumarasamy N. The number of HIVinfected individuals decreases by half in India: impact on the global epidemiology of HIV/AIDS. Future Medicine. 2008;2:395-398.
59. Claeson M, Alexander A. Tackling HIV in India: evidence-based priority setting and programming. Health Aff (Millwood). 2008 Jul-Aug;27:1091-1102.
60. UNAIDS. The prevention gap report. Geneva: UNAIDS; 2016 cited 2016 Aug 5. Available from: http://www.unaids.org/en/resources/documents/2016/ prevention-gap
61. Wang H, Wolock TM, Carter A, et al. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2015: the Global Burden of Disease Study 2015. Lancet HIV. 2016;3:e361-e387.
62. Brown T, Peerapatanapokin W. The Asian Epidemic Model: a process model for exploring HIV policy and programme alternatives in Asia. Sex Transm Infect. 2004 Aug;80:i19-i24.
63. Johnson LF, Chiu C, Myer L, et al. Prospects for HIV control in South Africa: a model-based analysis. Global Health Action. 2016;9:30314.
64. World Health Organization. Global monitoring framework and strategy for the global plan towards the elimination of new HIV infections among children by 2015 and keeping their mothers alive (EMTCT). Geneva: World Health Organization; 2011 cited 2016 Aug 1. Available from: http://www.who.int/ hiv/pub/me/monitoring_framework/en/
65. UNAIDS. On the Fast-Track to an AIDS-free generation. Geneva: UNAIDS; 2016 cited 2016 Aug 19. Available from: http://www.unaids.org/sites/default/ files/media_asset/GlobalPlan2016_en.pdf
66. Garcia-Calleja JM, Zaniewski E, Ghys PD, et al. A global analysis of trends in the quality of HIV serosurveillance. Sex Transm Infect. 2004 Aug;80:i25-i30.
67. Lyerla R, Gouws E, Garcia-Calleja JM. The quality of sero-surveillance in low-and middle-income countries: status and trends through 2007. Sex Transm Infect. 2008 Aug;84:i85-i91.
68. Kruglov YV, Kobyshcha YV, Salyuk T, et al. The most severe HIV epidemic in Europe: Ukraine's national HIV prevalence estimates for 2007. Sex Transm Infect. 2008 Aug;84:i37-i41.
69. Bhatt S New spatially-specific HIV estimates. Abstract number THSY0502. International AIDS Conference 18-22 July, 2016; 2016; Durban, South Africa.
70. Anderson S. Evaluation of geospatial methods to generate subnational HIV prevalence estimates for local level planning. AIDS. 2016 Jun 1;30:1467-1474.
71. Stover J, Andreev K, Slaymaker E, et al. Updates to the spectrum model to estimate key HIV indicators for adults and children. AIDS. 2014;28:S427-S434.