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This document aims to provide public health authorities in European Union and European Economic Area (EU/EEA) countries with guidance for improved preparedness planning taking the lessons that have been identified through various activities in the c
...
ontext of recent public health crises (e.g. COVID-19 pandemic, mpox multi-country outbreak 2022–23) and translating them to concrete advice. This document, together with the ECDC recommendations on the implementation of public health and social measures (PHSMs) for health emergencies and pandemics published in 2024, form a package of concrete recommendations for preparedness planning for the EU/EEA countries. Lessons learned primarily from the response to the COVID-19 pandemic, but also from the response to the multicountry mpox outbreak in 2022–23, were collected through various activities from Member States, the European Commission, the World Health Organization (WHO) and the WHO Regional Office from Europe. We have then presented these in the form of specific recommendations for planners within each phase of the continuous cycle of preparedness (Anticipation, Response and Recovery), following a prototype structure of a preparedness and response plan. In each section, we have presented a relevant example from a Member State or international organisation to illustrate their practice or attempt to implement lessons after COVID-19 or the mpox outbreak. These examples were identified either through literature review or communication with representatives of the countries within ECDC’s network for Preparedness and Response.
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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 Af
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rica, 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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A Global Access Framework for Country-Led.
ResponsesThis 2030 Prevention access framework focuses on one of those top-line targets, which covers primary prevention and requires that 90% of people in need of HIV prevention are using effective preven
...
tion options by 2030. This target is disaggregated into 15 second-line prevention targets for specific populations and programmes.
The 2030 Prevention Access Framework presents in greater detail the milestones and actions for achieving these targets––all of which are grounded in the three priorities of the Global AIDS Strategy: country-led, resilient and sustainable HIV responses; people-focused services, and community leadership
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This preliminary report summarizes the impact of the Ebola epidemic on the health workforce of Guinea, Liberia and Sierra Leone. It investigates the determinants of infection and describes safe practices put in place to protect
...
health workers during the epidemic. The report covers the period from 1 January 2014 to 31 March 2015 and is presents findings from the 815 confirmed and probable cases for whom individual case reports were available.
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When Ebola hit Liberia in 2014, an atmosphere of fear and confusion contributed to the spread of the virus by making people unwilling to come forward for testing and treatment. Oxfam trained and equipped community health volunteers to go door-to-doo
...
r, giving information and advice, encouraging anyone showing symptoms to go for tests, and keeping their family members informed about the progress of their treatment. The approach won the trust of communities and helped to slow the spread of the disease. This case study gives an overview of the programme, including aims, results and a personal story.
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Transforming health: Acclerating the attainment of health goals
Reproductive, Maternal, Newborn, and Child Health
Robert E. Black, Ramanan Laxminarayan, Marleen Temmerman; et al.
International Bank for Reconstruction and Development The World Bank
(2016)
CC
Disease Control Priorities –3rdEdition, Volume 2.
This book focuses on maternal conditions, childhood illness, and malnutrition. Specifically, the chapters address acute illness and undernutrition in children, principally under age 5. It also covers maternal mortality, morbidity, stillbirth, and
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influences to pregnancy and pre-pregnancy. It also includes the transition to older childhood, in particular, the overlap and commonality with the child development volume
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Health care-associated infections (HAI) are one of the most common adverse events in care delivery and a major public health problem with an impact on morbidity, mortality and quality of life. At an
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y one time, up to 7% of patients in developed and 10% in developing countries will acquire at least one HAI. These infections also present a significant economic burden at the societal level. However, a large percentage are preventable through effective infection prevention and control (IPC) measures.
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Malawi Demographic and Health Survey 2015-2016
recommended
A Toolkit for Implementation. Module 1: An Overview of Implementation at National, Province and District Levels
A Toolkit for Implementation. Module 5: Finalizing, monitoring and evaluating the IFC action plan
A manual for health managers
Zambia National Health Strategic Plan 2017-2021
recommended
Further Analysis of the 2000, 2005, 2010, and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 106
DHS Further Analysis Reports No 102
Health Systems for Outcomes Publication | Using qualitative data from Rwanda, this study focuses on four institutional factors that affect health worker performance and career choice: incentives, mo
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nitoring arrangements, professional norms and health workers’ intrinsic motivation. It also provides illustrations of three institutional innovations that work, at least in the context of Rwanda: performance pay, the establishment of community health workers and increased attention to the training of health workers.
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