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J Int AIDS Soc. 2025 Jun;28(6):e26526. doi: 10.1002/jia2.26526. PMID: 40515449; PMCID: PMC12166130.
JAMA. 2025;333(7):609–628. doi:10.1001/jama.2024.24543
Lancet HIV 2019 Published Online March 15, 2019 http://dx.doi.org/10.1016/S2352-3018(19)30052-9
Analytical antiretroviral treatment interruption (ATI) is an important feature of HIV research, seeking to achieve
sustained viral suppression in the absence of antiretroviral therapy (ART) when the goa
...
l is to measure effects of
novel therapeutic interventions on time to viral load rebound or altered viral setpoint. Trials with ATIs also intend
to determine host, virological, and immunological markers that are predictive of sustained viral control off ART.
more
A Flipchart for Child an Adolescent Disclosure Counseling (CADC) SOP3
Levin, L.; M. Vujovic, and J. Turner
Ministry of Health, South Africa; PEPFAR; USAID; Right to Care; et al.
(2024)
C1
Right to Care mini flipster
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.
more
Ewha Med J Volume 47(3); 2024
The article “Reporting Guidelines for Community Outbreak Investigation (G-CORE): A Study Protocol” describes the development of standardized reporting guidelines for investigations of infectious disease outbreaks in community settings. The authors highlight that ou
...
tbreak reports are often inconsistent and lack important epidemiological information, which makes it difficult to compare studies and apply findings to public health practice. The G-CORE project aims to create a structured guideline that improves the quality, transparency, and completeness of outbreak investigation reports. By establishing clear reporting standards, the guideline intends to support researchers and public health professionals in documenting outbreaks more systematically and to facilitate better communication, analysis, and response to infectious disease events.
more
The Health Emergency and Disaster Risk Management
Chan E.Y.Y., Huang Z., Hung K.K.C. et al
United Nations Office for Disaster Risk Reduction UNDRR
(2022)
CC
An emerging framework for achieving synergies among the Sendai Framework, the 2030 Agenda for Sustainable Development, the New Urban Agenda and the Paris Agreement. This paper discusses the potential of the Health Emergency and Disaster Risk Management (Health-EDRM) Framework in promoting syne
...
rgies in pursing risk- resilient sustainable development pathways via conceptual analysis of the key roles of health and Health-EDRM in the major international risk-resilient and sustainable development agendas of the Sendai Framework, the 2030 Agenda for Sustainable Development, the New Urban Agenda and the Paris Agreement. It first analyses the Health-EDRM Framework, which is a comprehensive, systematic, cross-sectoral, and interdisciplinary endeavour of the World Health Organization and its health and non- health partners. The four key international risk-resilient and sustainable development agendas are then analysed in detail to explore how they can be interlinked and synergised under the Health-EDRM Framework.
more
Guide to revision of national pandemic influenza preparedness plans - Lessons learned from the 2009 A(H1N1) pandemic
Brown C., Ciotti M., Hegermann-Lindencrone M., et al
European Centre for Disease Prevention and Control (ECDC), WHO Regional Office for Europe
(2017)
C_WHO
The document “Guide to revision of national pandemic influenza preparedness plans – Lessons learned from the 2009 A(H1N1) pandemic” provides guidance for countries on how to improve and update their national pandemic preparedness plans. It is based on lessons learned from the 2009 influenza pa
...
ndemic and aims to help governments strengthen their readiness for future pandemics. The report outlines key components of effective pandemic planning, including risk assessment, coordination between sectors, communication strategies, healthcare system preparedness, vaccination and antiviral strategies, and business continuity planning. It also emphasizes the importance of international cooperation and flexible planning that can adapt to different pandemic scenarios. Overall, the guide serves as a framework to support countries in developing stronger, more coordinated responses to future influenza pandemics.
more
Journal of the International AIDS Society 2024, 27:e26233.
Most adult ART clients in South Africa were satisfied with their care, but those enrolled in DSD models expressed slightly greater satisfaction than those remaining in conventional care. Efforts should focus on enrolling more eligible patie
...
nts into DSD models, expanding eligibility criteria to cover a wider client base, and further improving the models’ desirable characteristics.
more
J Int AIDS Soc., 26: e26121. https://doi.org/10.1002/jia2.26121. A person-centred model incorporating structured choice in biomedical prevention and care delivery options in settings with demographically diverse groups, in rural Kenya and Uganda, was responsive to varying personal preferences over t
...
ime in HIV prevention programmes.
more
PLoS ONE 18(12): e0295920. https://doi.org/10.1371/journal.pone.0295920. PLHIV were largely unaware and sceptical of U = U as the message appeared to contradict
the mainstream HIV prevention clinical guidance.
Multi-month dispensing (MMD) is the prescribing and dispensing of three to six months of antiretrovirals
(ARV) and other medicines required for treatment of people living with HIV (PLHIV). This approach is in
contrast to the current standard of care approach where drug dispensing requires monthly
...
clinical visits.
While many programs have moved to providing MMD for adults, implementation in children has been
particularly challenging. MMD takes a client-centered approach and has the promise of improving and
sustaining continuity of treatment and rates of viral suppression (VS), as well as reducing the provider the
provider workload and other burdens on the health system.
more
A Guide for Community Case Workers in OVC Programs. This guide is meant to help you, a community case worker or
facility case manager working on an orphans and vulnerable children (OVC) program, to understand your role in supporting
multi-month dispensing (MMD) of anti-retroviral (ARV) medicines f
...
or children and adolescents living with HIV (CLHIV/ALHIV).
more
Front. Public Health 10:876949. doi: 10.3389/fpubh.2022.876949.In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyzed using a tuberculosis (TB) therapy program at a health institution in a main
...
city of a developing country using five ML models. Logistic regression, classification trees, random forest, support vector machines, and artificial neural networks are trained under physician supervision following physicians' typical daily work.
more
A guide for training at a village and clinic level
Zzapp creates malaria elimination strategies powered by artificial intelligence, and delivers them directly to the field through a dedicated mobile app. Malaria elimination strategies powered by AI. The Zzapp software system supports the planning and implementation of malaria elimination operations,
...
as well as mosquito surveillance activities.
By analyzing satellite images and topographical maps, Zzapp’s AI identifies malaria transmission hotspots and optimizes malaria elimination strategies for each location. Our map-based mobile app conveys the AI strategies to field workers as simple instructions, ensuring accurate implementation and quick feedback from the field.
more
At a time when information is proliferating with immense speed, finding evidence-based, trustworthy content is a challenge. ChatHRP is a new AI-assisted tool launched for beta-testing to help policy-makers, experts and health workers find sexual and reproductive health and rights facts fast.
Crea
...
ted by HRP (the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction), the tool responds to queries with verified information.
more
Pediatric Shock in Low-Middle-Income Countries: Evidence-Based Strategies for Recognition, Resuscitation, and System-Level Adaptations
recommended
New
Current Treatment Options in Pediatrics, Vol.12 no.15
This review discusses the challenges of pediatric shock management in low-resource settings and outlines practical, evidence-based approaches to improve outcomes.
Discover Public Health, vol.23 no.499. Low- and middle-income countries (LMICs) face significant challenges in implementing digital health interventions due to a complex interplay of organizational, ethical, and human-centric barriers that hinder their adoption and sustainability. This review synthe
...
sizes evidence on these barriers and highlights the importance of integrated strategies that align digital health initiatives with local health system capacities, governance structures, and user needs to achieve sustainable and equitable health outcomes.
more
Health Informatics Journal 1–38. AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and
...
improvement, as well as incorporating social and environmental data, are essential for future development.
more
