Mathematical modelling to inform 'treat all' implementation in sub-Saharan Africa: a scoping review

Kimmel, April D; Bono, Rose S; Keiser, Olivia; Sinayobye, Jean D; Estill, Janne Anton Markus; Mujwara, Deo; Tymejczyk, Olga; Nash, Denis

Scientific article

Editorial

English

Mathematical modelling to inform 'treat all' implementation in sub-Saharan Africa: a scoping review

ContributorsKimmel, April D; Bono, Rose S; Keiser, Olivia

; Sinayobye, Jean D; Estill, Janne Anton Markus; Mujwara, Deo; Tymejczyk, Olga; Nash, Denis

Published inJournal of Virus Eradication, vol. 4, no. Suppl 2, p. 47-54

Publication date2018

Abstract

Despite widespread uptake, only half of sub-Saharan African countries have fully implemented the World Health Organization's 'treat all' policy, hindering achievement of global HIV targets. We examined literature on mathematical modelling studies that sought to inform scale-up and implementation of 'treat all' in sub-Saharan Africa.

Keywords

HIV
Mathematical modelling
Treat all
Sub-Saharan Africa

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de santé et médecine communautaires

Research groups

Maladies infectieuses et modèles mathématiques (988)

Citation (ISO format)

KIMMEL, April D et al. Mathematical modelling to inform “treat all” implementation in sub-Saharan Africa: a scoping review. In: Journal of Virus Eradication, 2018, vol. 4, n° Suppl 2, p. 47–54.

Article (Published version)

CC BY

Identifiers

PID : unige:115707
PMID : 30515314

Journal ISSN2055-6640

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90downloads

Creation01/26/2019 8:37:00 PM

First validation01/26/2019 8:37:00 PM

Update time03/15/2023 4:05:05 PM

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Mathematical modelling to inform 'treat all' implementation in sub-Saharan Africa: a scoping review

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