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Building on the WHO guidelines for disclosure to children up to age 12 in 2011, this implementation guidance provides evidence on existing interventions that support children and adolescents living with HIV in the process of disclosure. It includes interventions that focuses on safe disclosure, as w
...
ell as supporting children and adolescents with onwards disclosure. Specifically, this brief collates existing interventions via a scoping review; assesses key interventions through a realist evaluation lens, identifying what works, for whom, and in what contexts; and highlights emerging considerations, key gaps, and key actions.
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Technical Brief
Archives of Medicine vo.7 no.5:10
Individuals infected with human immunodeficiency virus (HIV) often develop
multiple complications and comorbidities, among them, opportunistic infections.
The highest incidence of opportunistic infections was reported in the group
of patients with CD4 lymphocyte
...
levels below 200 cells / mm. Candidiasis,
toxoplasmosis and pneumocystis pneumonia (PCP) were the main representatives.
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This booklet is aimed at HCP’s, and serves to raise awareness, and emphasize the need for
the inclusion and integration of psychosocial support in the Comprehensive HIV and AIDS
Care, Management and Treatment (CCMT) of children and adolescents.
A service guide for site operations
The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve public health systems across Africa, particularly in low-resource settings. It explores how machine learning and other AI techniques
...
are being used for disease detection, outbreak prediction, real-time surveillance, and health resource management.
The authors focus on major public health challenges such as HIV, cholera, Ebola, measles, tuberculosis, malaria, COVID-19, and mental health. Through numerous case studies, the paper shows that AI can enhance the accuracy and speed of disease detection, predict outbreaks more effectively than traditional methods, support vaccination strategies, and optimize healthcare resource allocation. At the same time, it discusses important barriers to implementation, including limited data quality, infrastructure constraints, ethical concerns, and shortages of technical expertise.
Overall, the paper highlights AI’s strong potential to strengthen disease surveillance and health outcomes in Africa while emphasizing the need for careful integration, improved data systems, and supportive policy frameworks.
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