Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …

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 …

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide.
Early detection is anticipated to help improve outcomes and prevent further infections. Point …

Malaria is the most common cause of death among the parasitic diseases. Malaria continues
to pose a growing threat to the public health and economic growth of nations in the tropical …

Infectious diseases, either emerging or long-lasting, place numerous people at risk and
bring heavy public health burdens worldwide. In the process against infectious diseases …

Globally, large proportions of HIV-positive populations live in cities. The Fast-Track cities
project aims to advance progress toward elimination of HIV as a public health threat by …

Considering the complexity and severity of TB/HIV coinfection, accuracy in forecasting future
trends is crucial for the efficient allocation of public health resources and the development of …

Introduction High yield HIV testing strategies are critical to reach epidemic control in high
prevalence and low-resource settings such as East and Southern Africa. In this study, we …

BACKGROUND: Determining whether interventions to reduce HIV transmission have
worked is essential, but complicated by the potential for generalised epidemics to evolve …

A wealth of genetic, demographic, clinical and biomarker data is collected from routine
clinical care of HIV patients and exists in the form of medical records available among the …