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space for health, the pursuit of efficiency gains and exploring innovative health financing for health seem attractive. This paper sought to synthesize available evidence on the nature of innovative health financing instruments, mechanisms and policies implemented in Africa. We further reviewed the factors that hinder or facilitate implementation, the lessons learnt on the structure, the development process and the implementation.
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The Council was established in late 2020 by Dr Tedros Adhanom
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he Council has focused on reimagining how to put Health for All at the heart of government decision-making and private sector collaboration at regional, national and international levels.
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The COVID-19 pandemic exposed critical gaps in the global response to health crises, particularly in the financing of pandemic prevention, preparedness, response, recovery, and reconstruction. This chapter presents a comprehensive framework for pandemic financing that spans the entire pandemic cycle
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, emphasizing the need for timely, adequate, and effective financial resources. The framework is designed to support
policymakers in both low- and middle-income countries (LMICs) and high-income nations, providing a guide to appropriate financing tools for each stage of a pandemic, from prevention and preparedness to response and recovery. Key economic concepts such as global public goods, time preference, and incentives are explored to underscore the complexities of pandemic financing.
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The guidelines are primarily intended for health-care professionals working in first- or second-level health-care facilities, including emergency, inpatient and outpatient services. They are also directed at policy-makers, health-care planners and programme managers, academic institutions, non-gover
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nmental and civil society organizations to inform capacity-building, teaching and research agendas.
Web annex A provides the quantitative evidence reports, Web annex B summarizes the qualitative and economic evidence and Web annex C presents the Evidence-to-Decision frameworks.
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This manual is designed to provide comprehensive malaria case management training for health workers at all levels, including clinical, nursing, dispensing, laboratory and records staff. The training covers the use of malaria rapid diagnostic tests (RDTs) and the treatment of severe malaria. The fiv
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e-day training programme includes interactive modules supported by job aids. The ideal group size is 20–30 participants, supported by a team of three trainers. Trainers should thoroughly review the manual, including the 'Adult Learning Techniques' module, and follow the 'Facilitator's Guide', while participants should use the 'Simplified Participant's Guide'. The training includes pre- and post-tests to assess knowledge improvement. Continuing Medical Education (CME) is encouraged after the training, and resources are provided in the appendix.
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The WHO guidelines for malaria bring together the Organization’s most up-to-date recommendations for malaria in one user-friendly and easy-to-navigate online platform.
The WHO guidelines for malaria bring together the Organization’s most up-to-date recommendations for malaria in one user-frie
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ndly and easy-to-navigate online platform. The Guidelines supersedes 2 previous WHO publications: the Guidelines for the treatment of malaria, third edition and the Guidelines for malaria vector control. Recommendations on malaria will continue to be reviewed and, where appropriate, updated based on the latest available evidence. Any updated recommendations will always display the date of the most recent revision in the MAGICapp platform. With each update, a new PDF version of the consolidated guidelines will also be available for download on the WHO website.
This version of the Guidelines includes an updated recommendation for malaria vaccines, new recommendations on the use of near-patients qualitative and semiquantitative G6PD tests to guide anti-relapse treatment of P. vivax and P. ovale, updated recommendations on primaquine and the recommendation on the use of tafenoquine. It replaces the versions published on 16 February 2021, 13 July 2021, 18 February 2022, 31 March 2022, 3 June 2022, 25 November 2022, 14 March 2023 and 16 October 2023.
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4th edition, Reference Manual
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WHO guidelines for clinical management of arboviral diseases: dengue, chikungunya, Zika and yellow fever
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The new WHO guidelines provide clinical management recommendations for four of the most widespread arboviruses affecting humans: dengue, chikungunya, Zika, and yellow fever.
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The Compendium of Solid Waste Management in Humanitarian Contexts is a comprehensive, structured and userfriendly manual and planning guide that provides a systematic overview of existing Solid Waste Management (SWM) technologies and approaches appropriate for use in humanitarian contexts.
The WHO handbook “Epidemiological Data Analysis for the Early Warning Alert and Response Network (EWARN) in Humanitarian Emergencies” explains how to collect, analyse, interpret, and share health data during crises such as conflicts or natural disasters. It is a practical guide for health and su
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rveillance officers to detect disease outbreaks early and guide quick public health responses. The document outlines steps for managing data at different levels (local, regional, national), analysing disease trends by time, place, and person, and using indicators to monitor outbreak risks. It also provides methods for interpreting and communicating results clearly to decision-makers to support effective health interventions in emergencies.
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Building true health security in a global age. Findings and recommendations of the Global Council. In landmark findings based on two years of research and convenings around the world, the new report shows that high levels of inequality are linked to outbreaks becoming pandemics and that inequality i
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s undermining national and global responses, making pandemics more disruptive, deadly, and longer in duration. The report also shows that pandemics increase inequality, fuelling a cycle that research shows is visible not just for COVID-19, but also for AIDS, Ebola, Influenza, Mpox and beyond.
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Measles is one of the most contagious diseases for humans. It is caused by a paramyxovirus virus, manifesting as a febrile rash illness. The incubation period for measles usually is 10–14 days (range 7–23 days) from exposure to symptom onset. Initial symptoms (prodrome) generally consist of feve
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r, malaise, cough, conjunctivitis, and coryza. The characteristic maculopapular rash appears two to four days after onset of the prodrome. Patients are usually contagious from about four days before rash onset until four days after its appearance.
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The standards of care for HIV define the expected or desired quality of prevention, treatment, and care for people at risk of HIV acquisition or living with HIV.
The standards are based on a scientific rationale, as well as the responsibilities of each stakeholder, to ensure that people receive app
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ropriate, high-quality prevention and care that aligns with the most up-to-date medical knowledge and ethical standards
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This document is itended as a quick guide of healtcare workers involved in clincial management
Pathogens 2022, 11, 33. https://doi.org/10.3390/pathogens11010033
A Clinical Guideline for the Diagnosis and Treatment of Drug-susceptible TB in Children and Adolescents
in South Africa. This new guidance is aligned with the updated WHO guidelines but has been adapted specifically for the South African context.
The intention of this publication is to provide g
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uidance on the Diagnosis and treatment of TB in children and adolescents and they may be downloaded and distributed as required. Distribution for remuneration is not permitted. No changes to the content or format of this publication is permitted.
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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
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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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This guideline document is a publication of the National AIDS & STI Control Program, Ministry of Health
Kenya
