Protocol for developing a personalised prediction model for viral suppression among under-represented populations in the context of the COVID-19 pandemic

J Zhang, X Yang, S Weissman, X Li, B Olatosi - BMJ open, 2023 - bmjopen.bmj.com
Introduction Sustained viral suppression, an indicator of long-term treatment success and
mortality reduction, is one of four strategic areas of the 'Ending the HIV Epidemic'federal …

[HTML][HTML] Protocol: Protocol for developing a personalised prediction model for viral suppression among under-represented populations in the context of the COVID-19 …

J Zhang, X Yang, S Weissman, X Li, B Olatosi - BMJ Open, 2023 - ncbi.nlm.nih.gov
Introduction Sustained viral suppression, an indicator of long-term treatment success and
mortality reduction, is one of four strategic areas of the 'Ending the HIV Epidemic'federal …

Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol

J Zhang, B Olatosi, X Yang, S Weissman, Z Li… - BMC Infectious …, 2022 - Springer
Background Given the importance of viral suppression in ending the HIV epidemic in the US
and elsewhere, an optimal predictive model of viral status can help clinicians identify those …

Impact of multi-component support strategies on HIV virologic suppression rates during COVID-19: an interrupted time series analysis

MA Spinelli, N Le Tourneau, DV Glidden, L Hsu… - 2022 - papers.ssrn.com
Background: After COVID-19 shelter-in-place (SIP) orders, viral suppression (VS) rates
initially decreased within a safety-net HIV clinic in San Francisco, with greater decreases …

COVID-19 Outcomes among People Living with HIV in Colorado

M Boyd, K Probst - AIDS and Behavior, 2024 - Springer
It is known that people who are immunocompromised or have a comorbidity are at an
increased risk for acquiring COVID-19, having a longer duration of COVID-19 symptoms …

Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model

EA Adeoye, Y Rozenfeld, J Beam, K Boudreau… - Medical & biological …, 2022 - Springer
Notable discrepancies in vulnerability to COVID-19 infection have been identified between
specific population groups and regions in the USA. The purpose of this study was to …

[HTML][HTML] HIV suppression was maintained during the COVID-19 pandemic in Malawi: a program-level cohort study

T Kalua, M Egger, A Jahn, T Chimpandule… - Journal of clinical …, 2022 - Elsevier
Objective Measures introduced to reduce the spread of SARS-CoV-2 by the Malawi
government and the national HIV care program might have compromised treatment …

Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts

M Maskew, K Sharpey-Schafer, L De Voux… - Scientific reports, 2022 - nature.com
HIV treatment programs face challenges in identifying patients at risk for loss-to-follow-up
and uncontrolled viremia. We applied predictive machine learning algorithms to …

A robust web-based tool to predict viral shedding in patients with Omicron SARS-CoV-2 variants

W Zhang, X Gai, B Wang, Z Duan, Q Zhou… - ERJ Open …, 2024 - Eur Respiratory Soc
Background Data on viral kinetics and variants affecting the duration of viral shedding were
limited. Our objective was to determine viral shedding in distinct severe acute respiratory …

Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea)

D Yehadji, G Gray, CA Vicente, P Isaakidis, A Diallo… - 2023 - researchsquare.com
Background Viral load (VL) suppression represents a key to the end of the global HIV
epidemic. It is critical for healthcare providers and people living with HIV (PLHIV) to be able …