Skip to main content
Top
Published in: PharmacoEconomics 8/2008

01-08-2008 | Original Research Article

Demand Forecasting for Preventive AIDS Vaccines

Economic and Policy Dimensions

Authors: Robert Hecht, Mr Gian Gandhi

Published in: PharmacoEconomics | Issue 8/2008

Login to get access

Abstract

Background

An AIDS vaccine could play a very significant role in reversing the HIV pandemic, saving millions of lives. For a vaccine to have such an impact, it must be widely available and adopted and taken up rapidly in the countries most affected. A demand-forecasting model provides a valuable tool that can guide R&D spending decisions and identify policy actions to help achieve these goals.

Objective

To identify the key determinants of vaccine demand, model global adoption and uptake dynamics, estimate potential demand and revenues associated with future preventive AIDS vaccines, and to conduct sensitivity analyses to assess the impact of each parameter on demand.

Methods

A discrete, deterministic, linear, predictive mathematical model based on stratified population averages with a 30-year time horizon was developed to assess scenarios of future demand. This forecasting model was used to explore the effects of vaccine characteristics and a variety of regulatory, political, financial and health service factors on future demand and revenues.
The intervention modelled was a preventive AIDS vaccine (efficacy: 30–90%; duration of protection: 3–5 years; in a two-dose prime-boost combination). The main outcome measure was the number of complete courses of vaccine administered.

Results

The model suggests that demand for a preventive AIDS vaccine with a medium efficacy (50%) and duration of protection (3 years) would average 68 million courses annually over a 30-year period. Under different scenarios, demand would peak at 38–152 million courses annually. On the basis of tiered pricing across public and private markets ($US2–100 per dose), these levels of peak demand would translate into $US2.5–5.5 billion in peak annual sales revenues.
Private markets and high-income countries account for small volumes but large shares of projected revenues, while low-income countries account for large volumes and more modest, but still significant, sales revenues. Vaccinations to ‘catch-up’ those who are missed or not eligible for routine annual programmes (whether adolescent or high-risk populations) would account for 20–35% of cumulative vaccination courses across all scenarios.
Demand was found to be sensitive to vaccine efficacy, duration of protection and price. Efforts to expedite regulatory review processes, improve immunization infrastructure and reduce political constraints could increase demand for an AIDS vaccine by 40 million additional courses a year compared with the medium efficacy (baseline) vaccine forecast.

Conclusions

Our model can provide vaccine developers with credible estimates of market potential for an AIDS vaccine, and with a tool that can be used to improve forecasts over time as AIDS vaccine science progresses. It can also help governments to identify and pursue those policies that could best strengthen demand and uptake of a safe and effective preventive AIDS vaccine.
Footnotes
1
Eighty stakeholder interviews were conducted across the world, surveying policy makers and influencers of policy; namely, government advisers and civil servants, academics, non-government organization personnel, pharmaceutical executives and vaccine researchers. The perceptions/preferences of each stakeholder group were sought with respect to the likely characteristics (including price) of a first-generation AIDS vaccine, the associated vaccination strategy that would be employed, and the likely effectiveness (reach/coverage) of such strategies. This helped define country/regional inputs with respect to particular drivers of demand. For a full list of interviewees and collaborators see the International AIDS Vaccine Initiative[2].
 
2
The year of licensure is an assumption made within the model — the chosen year is hypothetical, yet it is necessary to specify it because the year is a crucial determinant of the size of populations around the world who might be targeted for vaccination.
 
3
We defined an efficacy of 50% as implying that for every ten people vaccinated, five would be fully protected against HIV no matter how risky their behaviour. This is known as ‘take-type’ efficacy in that the vaccine ‘takes’ or has an effect in a proportion of those vaccinated. Researchers have considered other definitions of efficacy for HIV vaccines (e.g. ‘degree-type’ efficacy);[4,26,27] however, for the purposes of our stakeholder interviews, we chose the simpler and cognitively intuitive definition.
 
Literature
1.
go back to reference Sekhri N. Forecasting for global health: new money, new products and new markets [background paper]. Washington, DC: Center for Global Development, 2006 Sekhri N. Forecasting for global health: new money, new products and new markets [background paper]. Washington, DC: Center for Global Development, 2006
2.
go back to reference International AIDS Vaccine Initiative. Forecasting the global demand for preventive HIV vaccines [policy research working paper no. 15]. New York: IAVI, 2007 International AIDS Vaccine Initiative. Forecasting the global demand for preventive HIV vaccines [policy research working paper no. 15]. New York: IAVI, 2007
3.
go back to reference International AIDS Vaccine Initiative. Estimating the global impact of an AIDS vaccine [policy research working paper no. 4]. New York: IAVI, 2005 International AIDS Vaccine Initiative. Estimating the global impact of an AIDS vaccine [policy research working paper no. 4]. New York: IAVI, 2005
4.
go back to reference International AIDS Vaccine Initiative. The impact of an AIDS vaccine in developing countries: a new model and preliminary results [policy research working paper no. 8]. New York: IAVI, 2006 International AIDS Vaccine Initiative. The impact of an AIDS vaccine in developing countries: a new model and preliminary results [policy research working paper no. 8]. New York: IAVI, 2006
5.
go back to reference The United Nations Joint Programme on HTV/AIDS. 2007 AIDS epidemic update. Geneva: UN AIDS, 2007 The United Nations Joint Programme on HTV/AIDS. 2007 AIDS epidemic update. Geneva: UN AIDS, 2007
6.
go back to reference International AIDS Vaccine Initiative. Demand for a preventive HIV vaccine: a review of the literature [policy research working paper no. 3]. New York: IAVI, 2005 International AIDS Vaccine Initiative. Demand for a preventive HIV vaccine: a review of the literature [policy research working paper no. 3]. New York: IAVI, 2005
7.
go back to reference Esparza J. Potential vaccination strategies using HIV vaccines in developing countries [background paper; GPA/IFP.4/93.8]. Fourth meeting of the WHO-IFPMA Working Group on the development, testing, utilization and supply of drugs and vaccines for HIV infection and HIV-related disease; 1993 Feb 1–2; Geneva Esparza J. Potential vaccination strategies using HIV vaccines in developing countries [background paper; GPA/IFP.4/93.8]. Fourth meeting of the WHO-IFPMA Working Group on the development, testing, utilization and supply of drugs and vaccines for HIV infection and HIV-related disease; 1993 Feb 1–2; Geneva
8.
go back to reference Bishai D, Lin MK, Kiyonga CWB. Algorithms for purchasing AIDS vaccines [World Bank policy research working paper no. 2321]. Washington, DC: World Bank 2000 Bishai D, Lin MK, Kiyonga CWB. Algorithms for purchasing AIDS vaccines [World Bank policy research working paper no. 2321]. Washington, DC: World Bank 2000
9.
go back to reference Esparza J, Chang ML, Widdus R, et al. Estimation of ‘needs’ and ‘probable uptake’ for HIV/AIDS preventive vaccines based on possible policies and likely acceptance (a WHO/ UNAIDS/IAVI study). Vaccine 2003; 21: 2032–2041PubMedCrossRef Esparza J, Chang ML, Widdus R, et al. Estimation of ‘needs’ and ‘probable uptake’ for HIV/AIDS preventive vaccines based on possible policies and likely acceptance (a WHO/ UNAIDS/IAVI study). Vaccine 2003; 21: 2032–2041PubMedCrossRef
10.
go back to reference International AIDS Vaccine Initiative. An advance market commitment for AIDS vaccines: accelerating the response from industry [policy research working paper no. 7]. New York: IAVI, 2005 International AIDS Vaccine Initiative. An advance market commitment for AIDS vaccines: accelerating the response from industry [policy research working paper no. 7]. New York: IAVI, 2005
11.
go back to reference Shaffer C, Brandewinder M, Wroebel S, et al. Applied strategies: analysis using the AMC-FIRM model. San Mateo (CA): Applied Strategies, 2007. Data on file Shaffer C, Brandewinder M, Wroebel S, et al. Applied strategies: analysis using the AMC-FIRM model. San Mateo (CA): Applied Strategies, 2007. Data on file
12.
go back to reference Medicines for Malaria Venture. Planning for success: analysis conducted by the Bill and Melinda Gates Foundation and the Boston Consulting Group. Boston (MA): Medicines for Malaria, 2005 (data on file) Medicines for Malaria Venture. Planning for success: analysis conducted by the Bill and Melinda Gates Foundation and the Boston Consulting Group. Boston (MA): Medicines for Malaria, 2005 (data on file)
13.
go back to reference Longhi A, Chisholm R, Rilling M, et al. Principles for forecasting demand for global health products. Washington, DC: Center for Global Development Forecasting Principles Mini-Group, 2006 Longhi A, Chisholm R, Rilling M, et al. Principles for forecasting demand for global health products. Washington, DC: Center for Global Development Forecasting Principles Mini-Group, 2006
14.
go back to reference McCluskey MM, Alexander SB, Larkin BD, et al. An HTV vaccine: as we build it, will they come? Health Aff (Millwood) 2005; 24 (3): 643–651CrossRef McCluskey MM, Alexander SB, Larkin BD, et al. An HTV vaccine: as we build it, will they come? Health Aff (Millwood) 2005; 24 (3): 643–651CrossRef
16.
go back to reference International AIDS Vaccine Initiative. Forecasting the global demand for preventive HIV vaccines [policy research working paper no. 15, appendices III-IV]. New York: IAVI, 2007 International AIDS Vaccine Initiative. Forecasting the global demand for preventive HIV vaccines [policy research working paper no. 15, appendices III-IV]. New York: IAVI, 2007
19.
go back to reference Vandepitte J, Lyerla R, Dallabetta G, et al. Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006; 82 Suppl. 3: iii18–iii25PubMedCrossRef Vandepitte J, Lyerla R, Dallabetta G, et al. Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006; 82 Suppl. 3: iii18–iii25PubMedCrossRef
20.
go back to reference Aceijas C, Stimson GV, Hickman M, et al. Global overview of injecting drug use and HIV infection among injecting drug users. AIDS 2004; 18 (17): 2295–2303PubMedCrossRef Aceijas C, Stimson GV, Hickman M, et al. Global overview of injecting drug use and HIV infection among injecting drug users. AIDS 2004; 18 (17): 2295–2303PubMedCrossRef
21.
go back to reference Cáceres C, Konda K, Pecheny M, et al. Estimating the number of men who have sex with men in low and middle income countries. Sex Transm Infect 2006; 82 Suppl. 3: iii3–iii9PubMedCrossRef Cáceres C, Konda K, Pecheny M, et al. Estimating the number of men who have sex with men in low and middle income countries. Sex Transm Infect 2006; 82 Suppl. 3: iii3–iii9PubMedCrossRef
22.
go back to reference The United Nations Joint Programme on HIV/AIDS. Report on the global AIDS epidemic: annex 1. Country profiles. Geneva: UNAIDS, 2006: 374 The United Nations Joint Programme on HIV/AIDS. Report on the global AIDS epidemic: annex 1. Country profiles. Geneva: UNAIDS, 2006: 374
24.
go back to reference World Bank. GNI per capita 2005: Atlas method and purchasing power parity [online]. Available from URL: http://siteres ources.worldbank.org/ICPINT/Resources/Atlas_2005.pdf [Accessed 2008 Jun 23] World Bank. GNI per capita 2005: Atlas method and purchasing power parity [online]. Available from URL: http://​siteres ources.worldbank.org/ICPINT/Resources/Atlas_2005.pdf [Accessed 2008 Jun 23]
26.
go back to reference Blower SM, McLean AR. Prophylactic vaccines, risk behavior change, and the probability of eradicating HTV in San Francisco. Science 1994; 265 (5177): 1451–1454PubMedCrossRef Blower SM, McLean AR. Prophylactic vaccines, risk behavior change, and the probability of eradicating HTV in San Francisco. Science 1994; 265 (5177): 1451–1454PubMedCrossRef
27.
28.
go back to reference Rogers EM. Diffusion of innovations. 4th ed. New York: The Free Press, 1995: 22–23 Rogers EM. Diffusion of innovations. 4th ed. New York: The Free Press, 1995: 22–23
29.
go back to reference Andre F. How the research-based industry approaches vaccine development and establishes priorities. Developmental biology 2002; 110: 25–29 Andre F. How the research-based industry approaches vaccine development and establishes priorities. Developmental biology 2002; 110: 25–29
30.
go back to reference International AIDS Vaccine Initiative. Speeding the manufacture of an HIV vaccine: policy issues and options [policy discussion paper]. New York: IAVI, 2005 International AIDS Vaccine Initiative. Speeding the manufacture of an HIV vaccine: policy issues and options [policy discussion paper]. New York: IAVI, 2005
32.
go back to reference Cohen J. Shots in the dark: the wayward search for an AIDS vaccine. New York: Norton, 2001 Cohen J. Shots in the dark: the wayward search for an AIDS vaccine. New York: Norton, 2001
35.
go back to reference Barth-Jones DC, Cheng H, Kang LY, et al. Cost effectiveness and delivery study for future HIV vaccines. AIDS 2005; 19 (13): wl–w6 Barth-Jones DC, Cheng H, Kang LY, et al. Cost effectiveness and delivery study for future HIV vaccines. AIDS 2005; 19 (13): wl–w6
36.
go back to reference Barth-Jones DC, Longini Jr IM. Determining optimal vaccination policy for HIV vaccines: a dynamic simulation model for the evaluation of vaccination policy. In: Anderson JG, Katzper M, editors. Proceedings of the International Conference on Health Sciences Simulation 2002 Western Multiconference; 2002 Jan 27–31; San Antonio (TX): 6–79 Barth-Jones DC, Longini Jr IM. Determining optimal vaccination policy for HIV vaccines: a dynamic simulation model for the evaluation of vaccination policy. In: Anderson JG, Katzper M, editors. Proceedings of the International Conference on Health Sciences Simulation 2002 Western Multiconference; 2002 Jan 27–31; San Antonio (TX): 6–79
Metadata
Title
Demand Forecasting for Preventive AIDS Vaccines
Economic and Policy Dimensions
Authors
Robert Hecht
Mr Gian Gandhi
Publication date
01-08-2008
Publisher
Springer International Publishing
Published in
PharmacoEconomics / Issue 8/2008
Print ISSN: 1170-7690
Electronic ISSN: 1179-2027
DOI
https://doi.org/10.2165/00019053-200826080-00005

Other articles of this Issue 8/2008

PharmacoEconomics 8/2008 Go to the issue

Adis Pharmacoeconomic Drug Evaluation

Trastuzumab

Current Opinion

Modelling Approaches