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Populations affected by emergencies are continually at risk of outbreaks of epidemic-prone diseases and other public health hazards. This operational guidance aims to guide decision-making on when and how to implement and strengthen Early Warning Alert and Response (EWAR) in preparation for and resp
...
onse to emergencies. Each module aims to provide updated operational guidance for EWAR practices, which may be more easily understood and applied during emergencies. Through its application, this operational guidance aims to contribute to:
- earlier detection of acute public health events
- earlier and more effective response
- reduced impact of emergencies on health
- increased trust of the population in the (public) health system
- fulfilling our collective commitments to the International Health Regulations (IHR,
2005).
This guidance was developed jointly by 69 experts from more than 20 organizations from global level to country level.
more
The document “Guidelines for the Investigation and Control of Disease Outbreaks” provides practical guidance for public health professionals on how to detect, investigate, and manage outbreaks of communicable diseases. It describes the key steps of outbreak investigation, including confirming th
...
e outbreak, establishing a case definition, collecting epidemiological and laboratory data, identifying the source and mode of transmission, and implementing control measures. The guidelines also explain how to organize outbreak response teams, communicate findings, and document results in outbreak reports. Overall, the document aims to support systematic and effective outbreak investigations in order to control disease spread and protect public health.
more
Outbreak Investigation, Response and Control – Module 8. Integrated Disease Surveillance Project: Training Manual for State & District Surveillance Officers
Integrated Disease Surveillance Project (IDSP)
Ministry of Health and Family Welfare, Government of India
(2005)
C2
The document “Outbreak Investigation, Response and Control – Module 8” is a training module from the Integrated Disease Surveillance Project (IDSP) designed to guide health officials in investigating and managing disease outbreaks. It explains the basic principles and steps of outbreak investi
...
gation, including detecting unusual increases in disease cases, confirming diagnoses, collecting and analyzing epidemiological data, and identifying the source and mode of transmission. The module also describes appropriate control and prevention measures, emphasizes timely reporting and coordination within the surveillance system, and aims to strengthen the capacity of public health workers to effectively respond to infectious disease outbreaks at the district and state levels.
more
Program implementation orientation and training Day 1
The document is a practical toolkit that provides guidance for healthcare facilities on how to prepare for emergencies, including pandemics and other disasters. It explains how to conduct risk assessments using an all-hazards approach, helping facilities identify potential threats such as natural di
...
sasters, technical failures, and disease outbreaks. The text outlines how to develop emergency preparedness and pandemic plans, including key elements like communication, staffing, resource management, and coordination with local, state, and federal authorities. It also describes the four phases of emergency management—mitigation, preparedness, response, and recovery—and emphasizes continuous evaluation and improvement. Overall, the document aims to help healthcare organizations ensure continuity of care and protect patients and staff during emergencies.
more
Artificial intelligence for tuberculosis control: a scoping review of applications in public health
Menon, S.; and K. Ghislein Kuro
(2025)
J Glob Health. 2025;15:04192. This scoping review highlights the potential of AI-driven predictions in national TB programmes to enhance diagnostics, track trends, and strengthen public health surveillance. While promising for reducing transmission and support-
ing TB care in low-resource settings,
...
these models require large-scale validation to ensure real-world applicability, especially for high-risk groups
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This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in heal
...
th care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
more
TArtificial intelligence (AI) is transforming health systems, reshaping how care is planned, delivered and governed. This report presents the first assessment of AI integration into health systems across the whole of the WHO European Region, based on findings from the 2024–2025 survey on AI for he
...
alth care. It examines national strategies, governance models, legal and ethical frameworks, workforce readiness, data governance, stakeholder engagement, private sector roles and the uptake of AI applications. Drawing on insights from 50 Member States, the report explores how countries are navigating opportunities and challenges, highlighting emerging trends, gaps and practices to guide policy-makers towards coherent, ethical and people-centred approaches to AI in health care.
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A reference guide for decision-makers that outlines key issues, checklists, and templates to consider when providing or receiving international aid.
Key resources include the Manual for Disaster Response Teams, which helps experts plan public communication, exchange information, and manage media, ensuring crucial data reaches humanitarian actors
