1. Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa
- Author
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Paul Revill, Ajay Rangaraj, Albert Makochekanwa, Amon Mpofu, Andrea L. Ciaranello, Andreas Jahn, Andrew Gonani, Andrew N. Phillips, Anna Bershteyn, Benson Zwizwai, Brooke E. Nichols, Carel Pretorius, Cliff C. Kerr, Cindy Carlson, Debra Ten Brink, Edinah Mudimu, Edward Kataika, Erik Lamontagne, Fern Terris-Prestholt, Frances M. Cowan, Gerald Manthalu, Gemma Oberth, Gesine Mayer-Rath, Iris Semini, Isaac Taramusi, Jeffrey W. Eaton, Jinjou Zhao, John Stover, Jose A Izazola-Licea, Katherine Kripke, Leigh Johnson, Loveleen Bansi-Matharu, Marelize Gorgons, Michelle Morrison, Newton Chagoma, Owen Mugurungi, Robyn M. Stuart, Rowan Martin-Hughes, Rose Nyirenda, Ruanne V. Barnabas, Sakshi Mohan, Sherrie L. Kelly, Sibusiso Sibandze, Simon Walker, Stephen Banda, R. Scott Braithwaite, Thato Chidarikire, Timothy B. Hallett, Thoko Kalua, Tsitsi Apollo, Valentina Cambiano, UNAIDS, Bill & Melinda Gates Foundation, and Medical Research Council (MRC)
- Subjects
wa_30 ,Infectious Diseases ,Epidemiology ,Virology ,wc_503_7 ,Immunology ,wc_503_6 ,Humans ,HIV Infections ,wc_503 ,Africa South of the Sahara ,Research Personnel ,11 Medical and Health Sciences - Abstract
HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. We reflect critically how the HIV modelling field might develop in future. We argue for HIV modelling to be more routinely aligned with national government and ministry of health priorities, recognizing their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. We also place importance on an environment existing in which collaboration between modellers, and joint approaches to addressing modelling questions, becomes the norm rather than exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritized for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection and analysis. We also argue the need for HIV modelling to increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another may lead to worse health overall. Such integration may also enhance partnership with national governments whose mandates extend beyond HIV and to all of health care. Finally, we see a need for there to be substantial and equitable investment in capacity strengthening within African countries, so that African researchers will increasingly be leading modelling exercises. Building a critical mass of expertise, strengthened through external collaboration and knowledge exchange, should be the ultimate goal.
- Published
- 2022
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