Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa
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Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa. / The Modelling to Inform HIV Programmes in sub-Saharan Africa (MIHPSA) Working Group.
I: The Lancet HIV, Bind 9, Nr. 7, 2022, s. e517-e520.Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
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T1 - Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa
AU - Revill, Paul
AU - Rangaraj, Ajay
AU - Makochekanwa, Albert
AU - Mpofu, Amon
AU - Ciaranello, Andrea L.
AU - Jahn, Andreas
AU - Gonani, Andrew
AU - Phillips, Andrew N.
AU - Bershteyn, Anna
AU - Zwizwai, Benson
AU - Nichols, Brooke E.
AU - Pretorius, Carel
AU - Kerr, Cliff C.
AU - Carlson, Cindy
AU - Ten Brink, Debra
AU - Mudimu, Edinah
AU - Kataika, Edward
AU - Lamontagne, Erik
AU - Terris-Prestholt, Fern
AU - Cowan, Frances M.
AU - Manthalu, Gerald
AU - Oberth, Gemma
AU - Mayer-Rath, Gesine
AU - Semini, Iris
AU - Taramusi, Isaac
AU - Eaton, Jeffrey W.
AU - Zhao, Jinjou
AU - Stover, John
AU - Izazola-Licea, Jose A.
AU - Kripke, Katherine
AU - Johnson, Leigh
AU - Bansi-Matharu, Loveleen
AU - Gorgons, Marelize
AU - Morrison, Michelle
AU - Chagoma, Newton
AU - Mugurungi, Owen
AU - Stuart, Robyn M.
AU - Martin-Hughes, Rowan
AU - Nyirenda, Rose
AU - Barnabas, Ruanne V.
AU - Mohan, Sakshi
AU - Kelly, Sherrie L.
AU - Sibandze, Sibusiso
AU - Walker, Simon
AU - Banda, Stephen
AU - Braithwaite, R. Scott
AU - Chidarikire, Thato
AU - Hallett, Timothy B.
AU - Kalua, Thoko
AU - Apollo, Tsitsi
AU - The Modelling to Inform HIV Programmes in sub-Saharan Africa (MIHPSA) Working Group
N1 - Publisher Copyright: © 2022 World Health Organization. Published by Elsevier Ltd/Inc/BV. All rights reserved.
PY - 2022
Y1 - 2022
N2 - HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. 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.
AB - HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. 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.
U2 - 10.1016/S2352-3018(22)00035-2
DO - 10.1016/S2352-3018(22)00035-2
M3 - Letter
C2 - 35468318
AN - SCOPUS:85134084227
VL - 9
SP - e517-e520
JO - The Lancet HIV
JF - The Lancet HIV
SN - 2352-3018
IS - 7
ER -
ID: 317815732