<p><b>OBJECTIVES: </b>We developed a pragmatic modelling approach to estimate the impact of treatment as prevention (TasP); outreach testing strategies; and pre-exposure prophylaxis (PrEP) on the epidemiology of HIV and its associated pharmaceutical expenses.</p><p><b>METHODS: </b>Our model estimates the incremental health (in terms of new HIV diagnoses) and budget impact of two prevention scenarios (outreach+TasP and outreach+TasP+PrEP) against a 'no additional prevention' scenario. Model parameters were estimated from reported Belgian epidemiology and literature data. The analysis was performed from a healthcare payer perspective with a 15-year-time horizon. It considers subpopulation di...
At the end of 2012, 3 decades after the human immunodeficiency virus (HIV) was first identified, nei...
Introduction: The treatment as prevention strategy has gained popularity as a way to reduce the inci...
Abstract: Public health responses to HIV epidemics have long relied on epidemiological modelling ana...
Objectives: We developed a pragmatic modelling approach to estimate the impact of treatment as preve...
Objectives: We developed a pragmatic modelling approach to estimate the impact of treatment as preve...
Background: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given...
BACKGROUND: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given...
Background: Mathematical modelers have given little attention to the question of how pre-exposure pr...
International audiencePurpose: To model the budget and survival impact of implementing ă interventio...
Background: Mathematical modelers have given little attention to the question of how pre-exposure pr...
Thesis (Ph.D.)--University of Washington, 2018As the marginal clinical impact returns on innovations...
Despite demonstrating only partial efficacy in preventing new infections, available HIV prevention i...
Despite demonstrating only partial efficacy in preventing new infections, available HIV prevention i...
Objective. To create a simple model to help public health decision makers determine how to best inve...
Through major efforts to reduce costs and expand access to antiretroviral therapy worldwide, widespr...
At the end of 2012, 3 decades after the human immunodeficiency virus (HIV) was first identified, nei...
Introduction: The treatment as prevention strategy has gained popularity as a way to reduce the inci...
Abstract: Public health responses to HIV epidemics have long relied on epidemiological modelling ana...
Objectives: We developed a pragmatic modelling approach to estimate the impact of treatment as preve...
Objectives: We developed a pragmatic modelling approach to estimate the impact of treatment as preve...
Background: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given...
BACKGROUND: New York City (NYC) remains an epicenter of the HIV epidemic in the United States. Given...
Background: Mathematical modelers have given little attention to the question of how pre-exposure pr...
International audiencePurpose: To model the budget and survival impact of implementing ă interventio...
Background: Mathematical modelers have given little attention to the question of how pre-exposure pr...
Thesis (Ph.D.)--University of Washington, 2018As the marginal clinical impact returns on innovations...
Despite demonstrating only partial efficacy in preventing new infections, available HIV prevention i...
Despite demonstrating only partial efficacy in preventing new infections, available HIV prevention i...
Objective. To create a simple model to help public health decision makers determine how to best inve...
Through major efforts to reduce costs and expand access to antiretroviral therapy worldwide, widespr...
At the end of 2012, 3 decades after the human immunodeficiency virus (HIV) was first identified, nei...
Introduction: The treatment as prevention strategy has gained popularity as a way to reduce the inci...
Abstract: Public health responses to HIV epidemics have long relied on epidemiological modelling ana...