Grant: Project Grant
McGill University
$531,676.00
Optimizing HIV testing services in sub-Saharan Africa to end the AIDS epidemic by 2030
FY 2019-20
Summary
Ending the AIDS epidemic begins by building efficient HIV testing services. HIV testing has, and remains, a cornerstone of HIV prevention efforts. A positive diagnosis entails that people living with HIV can receive life-saving antiretroviral therapy and, if the test is negative, people vulnerable to HIV acquisition can be identified and linked to prevention services.
The Joint United Nations Programme on HIV/AIDS (UNAIDS) put forward the objective of ending the AIDS epidemic by 2030 by strengthening the HIV care cascade. The proportion of people living with HIV aware of their status is a key progress indicator and common bottleneck in the cascade. Tracking this indicator in sub-Saharan Africa is difficult, however, as surveillance systems are often incomplete. Our team has recently developed tailored tools that specifically address these challenges. Yet, current models are agnostic about testing modalities (e.g., opt-in, HIV self-tests, mobile campaigns) and cannot stratify coverage metrics by key populations (e.g., female sex workers and men who have sex with men). Members of these populations represent close to 50% of global new HIV infections and, if the goal of ending AIDS is to be achieved, they need explicit consideration.
To fill these knowledge gaps, we will develop methods, build tools, and validate models to inform, strengthen, and optimize HIV testing services. Specifically, we will 1) improve estimates by integrating new data sources, 2) adapt current frameworks to consider key populations, and 3) optimize national HIV testing strategies considering affordability and cost-effectiveness. By drawing on the expertise of an international team of HIV researchers, biostatisticians, economists, modelers, and knowledge users, our project will guide global recommendations on how best to sustainably close gaps in diagnosis coverage among some of sub-Saharan Africa's most vulnerable groups.
Department
Program
Project Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
420347
Name
Maheu-Giroux Mathieu
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Public, Community & Population Health 2
Projecttitle
Optimizing HIV testing services in sub-Saharan Africa to end the AIDS epidemic by 2030
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$531,676
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Bayesian Statistics; Cost-Effectiveness Analyses; Diagnostics; Elimination; Hiv/Aids; Key Populations; Mathematical Modeling; Optimization; Sub-Saharan Africa
Abstract
Ending the AIDS epidemic begins by building efficient HIV testing services. HIV testing has, and remains, a cornerstone of HIV prevention efforts. A positive diagnosis entails that people living with HIV can receive life-saving antiretroviral therapy and, if the test is negative, people vulnerable to HIV acquisition can be identified and linked to prevention services.
The Joint United Nations Programme on HIV/AIDS (UNAIDS) put forward the objective of ending the AIDS epidemic by 2030 by strengthening the HIV care cascade. The proportion of people living with HIV aware of their status is a key progress indicator and common bottleneck in the cascade. Tracking this indicator in sub-Saharan Africa is difficult, however, as surveillance systems are often incomplete. Our team has recently developed tailored tools that specifically address these challenges. Yet, current models are agnostic about testing modalities (e.g., opt-in, HIV self-tests, mobile campaigns) and cannot stratify coverage metrics by key populations (e.g., female sex workers and men who have sex with men). Members of these populations represent close to 50% of global new HIV infections and, if the goal of ending AIDS is to be achieved, they need explicit consideration.
To fill these knowledge gaps, we will develop methods, build tools, and validate models to inform, strengthen, and optimize HIV testing services. Specifically, we will 1) improve estimates by integrating new data sources, 2) adapt current frameworks to consider key populations, and 3) optimize national HIV testing strategies considering affordability and cost-effectiveness. By drawing on the expertise of an international team of HIV researchers, biostatisticians, economists, modelers, and knowledge users, our project will guide global recommendations on how best to sustainably close gaps in diagnosis coverage among some of sub-Saharan Africa's most vulnerable groups.
Competitiondate
202003
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Maheu-Giroux, Mathieu
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $531,676~ $0~