Name of Technical Working Group | Name of TWG Leads | |
| Pharmacovigilance |
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| Emerging and re-emerging Viral Infectious diseases |
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| AMR, Genomics, and OneHealth |
| |
| Ethics in Artificial Intelligence and Machine Learning Innovation for Health |
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| Vaccines and diagnostics |
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| Evidence-Informed Decision-Making in Humanitarian Contexts | Health Poverty Action:
|
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Pharmacovigilance
Focuses on evidence synthesis related to medicine safety, adverse drug reactions, and risk management.
Supports surveillance and signal detection using real-world data and routine health systems.
Informs regulatory decision-making and safe medicine use in low-resource settings.
Promotes integration of pharmacovigilance evidence into clinical guidelines and policies.
Builds national capacity for evidence-based medicine safety monitoring.
Emerging and Re-emerging Diseases
Synthesizes evidence on epidemiology, prevention, and control of emerging health threats.
Supports rapid reviews to inform outbreak preparedness and response.
Integrates surveillance, modeling, and intervention effectiveness evidence.
Addresses context-specific risks such as conflict, displacement, and climate change.
Strengthens evidence-informed public health emergency decision-making.
Viral Infectious Diseases
Generates evidence on transmission, diagnosis, treatment, and prevention of viral infections.
Supports reviews on HIV, hepatitis, respiratory viruses, and viral hemorrhagic fevers.
Evaluates effectiveness of public health and clinical interventions.
Addresses implementation challenges in low- and middle-income settings.
Informs national guidelines and disease control strategies.
AMR, Genomics, and One Health
Synthesizes evidence on antimicrobial resistance trends and drivers across human, animal, and environmental health.
Integrates genomic surveillance evidence to inform AMR prevention and control.
Supports One Health approaches linking clinical, veterinary, and environmental data.
Evaluates stewardship interventions and policy effectiveness.
Informs national AMR strategies and global reporting frameworks.
Ethics in Artificial Intelligence and Machine Learning for Health
Synthesizes evidence on ethical, legal, and social implications of AI in healthcare.
Focuses on fairness, transparency, accountability, and patient safety.
Evaluates governance frameworks and responsible AI implementation models.
Addresses equity and context-specific challenges in low-resource settings.
Supports ethical integration of AI into clinical and public health decision-making.
Vaccines and Diagnostics
Synthesizes evidence on vaccine effectiveness, safety, and implementation strategies.
Evaluates diagnostic accuracy and clinical utility of emerging technologies.
Supports evidence-based immunization and testing policies.
Addresses access, equity, and health system integration challenges.
Informs national and regional vaccination and diagnostic guidelines.
Evidence-Informed Decision-Making in Humanitarian Contexts
Provides technical leadership to synthesize and apply evidence for humanitarian health decisions.
Supports rapid reviews and living evidence to inform responses in conflict, displacement, and crisis settings.
Bridges research, policy, and practice through stakeholder engagement and co-creation.
Addresses context-specific challenges including data scarcity, equity, and ethical considerations.
Strengthens capacity for timely, transparent, and accountable decision-making in humanitarian health.