Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study

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Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. / R Pickles, Michael; Gregson, Simon; Moorhouse, Louisa; Dadirai, Tawanda; Dzamatira, Freedom; Mandizvidza, Phyllis; Maswera, Rufurwokuda; Museka, Tafadzwa; Schaefer, Robin; Skovdal, Morten; Thomas, Ranjeeta; Tsenesa, Blessing; Mugurungi, Owen; Nyamukapa, Constance; Hallett, Timothy B.

I: The Lancet Global Health, Bind 11, Nr. 7, 2023, s. e1105-e1113.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

R Pickles, M, Gregson, S, Moorhouse, L, Dadirai, T, Dzamatira, F, Mandizvidza, P, Maswera, R, Museka, T, Schaefer, R, Skovdal, M, Thomas, R, Tsenesa, B, Mugurungi, O, Nyamukapa, C & Hallett, TB 2023, 'Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study', The Lancet Global Health, bind 11, nr. 7, s. e1105-e1113. https://doi.org/10.1016/S2214-109X(23)00206-1

APA

R Pickles, M., Gregson, S., Moorhouse, L., Dadirai, T., Dzamatira, F., Mandizvidza, P., Maswera, R., Museka, T., Schaefer, R., Skovdal, M., Thomas, R., Tsenesa, B., Mugurungi, O., Nyamukapa, C., & Hallett, T. B. (2023). Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. The Lancet Global Health, 11(7), e1105-e1113. https://doi.org/10.1016/S2214-109X(23)00206-1

Vancouver

R Pickles M, Gregson S, Moorhouse L, Dadirai T, Dzamatira F, Mandizvidza P o.a. Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. The Lancet Global Health. 2023;11(7):e1105-e1113. https://doi.org/10.1016/S2214-109X(23)00206-1

Author

R Pickles, Michael ; Gregson, Simon ; Moorhouse, Louisa ; Dadirai, Tawanda ; Dzamatira, Freedom ; Mandizvidza, Phyllis ; Maswera, Rufurwokuda ; Museka, Tafadzwa ; Schaefer, Robin ; Skovdal, Morten ; Thomas, Ranjeeta ; Tsenesa, Blessing ; Mugurungi, Owen ; Nyamukapa, Constance ; Hallett, Timothy B. / Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. I: The Lancet Global Health. 2023 ; Bind 11, Nr. 7. s. e1105-e1113.

Bibtex

@article{94fd730b6d3f4906b5b3e2d38ee6ad71,
title = "Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study",
abstract = "BackgroundHIV prevention cascades provide a systematic understanding of barriers to prevention. In this study we used mathematical modelling to understand the consequences of these barriers and how the cascade could be strengthened to maximise epidemiological impact, providing potentially important insights for programmes.MethodsWe used an individual-based model of HIV transmission (PopART-IBM), calibrated to data from the Manicaland cohort from eastern Zimbabwe. HIV prevention cascade estimates from this cohort were used as probabilities for indicators in the model representing an individual's motivation, access, and capacity to effectively use pre-exposure prophylaxis, voluntary male medical circumcision, and condoms. We examined how current barriers affect the number and distribution of HIV infections compared with a no-barrier scenario. Using assumptions about how interventions could strengthen the HIV prevention cascade, we estimated the reduction in HIV infections over a 10-year period through addressing different elements of the cascade.Findings21 200 new potentially avertable HIV infections will occur over the next 10 years due to existing HIV prevention cascade barriers, 74·2% of the 28 500 new infections that would occur with existing barriers in a population of approximately 1·2 million adults. Removing these barriers would reduce HIV incidence below the benchmarks for epidemic elimination. Addressing all cascade steps in one priority population is substantially more effective than addressing one step across all populations.InterpretationInterventions exist in eastern Zimbabwe to reduce HIV towards elimination, but barriers of motivation, access, and effective use prevent their full effect being realised. Interventions need to be multilayered and address all steps along the HIV prevention cascade. Models incorporating the HIV prevention cascade can help to identify the main barriers to greater effectiveness.FundingNational Institutes of Mental Health, Bill & Melinda Gates Foundation, and Medical Research Council Centre for Global Infectious Disease Analysis funding from the UK Medical Research Council and UK Foreign, Commonwealth & Development Office (FCDO).Introduction",
author = "{R Pickles}, Michael and Simon Gregson and Louisa Moorhouse and Tawanda Dadirai and Freedom Dzamatira and Phyllis Mandizvidza and Rufurwokuda Maswera and Tafadzwa Museka and Robin Schaefer and Morten Skovdal and Ranjeeta Thomas and Blessing Tsenesa and Owen Mugurungi and Constance Nyamukapa and Hallett, {Timothy B}",
note = "doi: 10.1016/S2214-109X(23)00206-1",
year = "2023",
doi = "10.1016/S2214-109X(23)00206-1",
language = "English",
volume = "11",
pages = "e1105--e1113",
journal = "The Lancet Global Health",
issn = "2214-109X",
publisher = "The Lancet Publishing Group",
number = "7",

}

RIS

TY - JOUR

T1 - Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study

AU - R Pickles, Michael

AU - Gregson, Simon

AU - Moorhouse, Louisa

AU - Dadirai, Tawanda

AU - Dzamatira, Freedom

AU - Mandizvidza, Phyllis

AU - Maswera, Rufurwokuda

AU - Museka, Tafadzwa

AU - Schaefer, Robin

AU - Skovdal, Morten

AU - Thomas, Ranjeeta

AU - Tsenesa, Blessing

AU - Mugurungi, Owen

AU - Nyamukapa, Constance

AU - Hallett, Timothy B

N1 - doi: 10.1016/S2214-109X(23)00206-1

PY - 2023

Y1 - 2023

N2 - BackgroundHIV prevention cascades provide a systematic understanding of barriers to prevention. In this study we used mathematical modelling to understand the consequences of these barriers and how the cascade could be strengthened to maximise epidemiological impact, providing potentially important insights for programmes.MethodsWe used an individual-based model of HIV transmission (PopART-IBM), calibrated to data from the Manicaland cohort from eastern Zimbabwe. HIV prevention cascade estimates from this cohort were used as probabilities for indicators in the model representing an individual's motivation, access, and capacity to effectively use pre-exposure prophylaxis, voluntary male medical circumcision, and condoms. We examined how current barriers affect the number and distribution of HIV infections compared with a no-barrier scenario. Using assumptions about how interventions could strengthen the HIV prevention cascade, we estimated the reduction in HIV infections over a 10-year period through addressing different elements of the cascade.Findings21 200 new potentially avertable HIV infections will occur over the next 10 years due to existing HIV prevention cascade barriers, 74·2% of the 28 500 new infections that would occur with existing barriers in a population of approximately 1·2 million adults. Removing these barriers would reduce HIV incidence below the benchmarks for epidemic elimination. Addressing all cascade steps in one priority population is substantially more effective than addressing one step across all populations.InterpretationInterventions exist in eastern Zimbabwe to reduce HIV towards elimination, but barriers of motivation, access, and effective use prevent their full effect being realised. Interventions need to be multilayered and address all steps along the HIV prevention cascade. Models incorporating the HIV prevention cascade can help to identify the main barriers to greater effectiveness.FundingNational Institutes of Mental Health, Bill & Melinda Gates Foundation, and Medical Research Council Centre for Global Infectious Disease Analysis funding from the UK Medical Research Council and UK Foreign, Commonwealth & Development Office (FCDO).Introduction

AB - BackgroundHIV prevention cascades provide a systematic understanding of barriers to prevention. In this study we used mathematical modelling to understand the consequences of these barriers and how the cascade could be strengthened to maximise epidemiological impact, providing potentially important insights for programmes.MethodsWe used an individual-based model of HIV transmission (PopART-IBM), calibrated to data from the Manicaland cohort from eastern Zimbabwe. HIV prevention cascade estimates from this cohort were used as probabilities for indicators in the model representing an individual's motivation, access, and capacity to effectively use pre-exposure prophylaxis, voluntary male medical circumcision, and condoms. We examined how current barriers affect the number and distribution of HIV infections compared with a no-barrier scenario. Using assumptions about how interventions could strengthen the HIV prevention cascade, we estimated the reduction in HIV infections over a 10-year period through addressing different elements of the cascade.Findings21 200 new potentially avertable HIV infections will occur over the next 10 years due to existing HIV prevention cascade barriers, 74·2% of the 28 500 new infections that would occur with existing barriers in a population of approximately 1·2 million adults. Removing these barriers would reduce HIV incidence below the benchmarks for epidemic elimination. Addressing all cascade steps in one priority population is substantially more effective than addressing one step across all populations.InterpretationInterventions exist in eastern Zimbabwe to reduce HIV towards elimination, but barriers of motivation, access, and effective use prevent their full effect being realised. Interventions need to be multilayered and address all steps along the HIV prevention cascade. Models incorporating the HIV prevention cascade can help to identify the main barriers to greater effectiveness.FundingNational Institutes of Mental Health, Bill & Melinda Gates Foundation, and Medical Research Council Centre for Global Infectious Disease Analysis funding from the UK Medical Research Council and UK Foreign, Commonwealth & Development Office (FCDO).Introduction

U2 - 10.1016/S2214-109X(23)00206-1

DO - 10.1016/S2214-109X(23)00206-1

M3 - Journal article

C2 - 37349036

VL - 11

SP - e1105-e1113

JO - The Lancet Global Health

JF - The Lancet Global Health

SN - 2214-109X

IS - 7

ER -

ID: 357471561