2024 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Botswana Harvard AIDS Institute Partnership
Botswana Harvard AIDS Institute Partnership
Publications
7
Total Publications
6
Abstract/Manuscript
1
Oral Presentation
2024 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Predictors of HIV seroconversion in Botswana: machine learning analysis in a representative, population-based HIV incidence cohort.
Read more →2024 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Quantitative outcomes of a type 2 single arm hybrid effectiveness implementation pilot study for hypertension-HIV integration in Botswana.
Read more →2023 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Population-level viremia predicts HIV incidence at the community level across the Universal Testing and Treatment Trials in eastern and southern Africa.
Read more →2023 · Oral Presentation · Botswana Harvard AIDS Institute Partnership · Methods/Pharmacoepi
Methods and New Approaches in Pragmatic Trials Case Study: Botswana Combination Prevention Project
Read more →2022 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Epidemiological and viral characteristics of undiagnosed HIV infections in Botswana
Read more →2022 · Abstract/Manuscript · Botswana Harvard AIDS Institute Partnership
Achieving the UNAIDS 90-90-90 targets: a comparative analysis of four large community randomised trials delivering universal testing and treatment to reduce HIV transmission in sub-Saharan Africa.
Read more →Latest News
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Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.
Pedestal Health projects leverage Headwater Science methods, technology and causal inference expertise where the analytical complexity is highest, comparative effectiveness studies that require dynamic treatment design, regulatory-grade external control work, methodological consultation on submission packages, and the kinds of bias-protection frameworks that consequential evidence increasingly requires.