Back to Search Start Over

Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa

Authors :
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
Medical Research Council (MRC)
Source :
e520, e517, The Modelling to Inform HIV Programmes in sub-Saharan Africa (MIHPSA) Working Group 2022, ' Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa ', The Lancet HIV, vol. 9, no. 7, pp. e517-e520 . https://doi.org/10.1016/S2352-3018(22)00035-2
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

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.

Details

Language :
English
ISSN :
24054704
Database :
OpenAIRE
Journal :
e520, e517, The Modelling to Inform HIV Programmes in sub-Saharan Africa (MIHPSA) Working Group 2022, ' Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa ', The Lancet HIV, vol. 9, no. 7, pp. e517-e520 . https://doi.org/10.1016/S2352-3018(22)00035-2
Accession number :
edsair.doi.dedup.....1f07d41d74384acb1249d0dddce48366
Full Text :
https://doi.org/10.1016/S2352-3018(22)00035-2