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PERC produces regional and member state situation analyses, updated regularly.
BMJ 2019;365:l1807 doi: 10.1136/bmj.l1807 (Published 8 May 2019)
This Guide responds to requests from practitioners and country teams who have learned about the Nurturing care framework and want to understand how to adapt health and nutrition services to be suppo
...
rtive of nurturing care and strengthen caregivers’ capacity.
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The introduction of vaccines for coronavirus disease 2019 (COVID-19) added another measure to the existing set of
recommended preventive measures (wearing a mask in public, keeping a distance from other people and regular handwashing). The roll-out
...
of the vaccines, however, raised concerns that vaccination may lead to lower adherence to the existing
preventive measures. The advice from the World Health Organization (WHO) was to continue these public health and
social measures after being vaccinated.1 However, evidence from other epidemics suggests that there is lower adherence to
preventive measures when some level of protection exists (for example, individuals who use human immunodeficiency virus
pre-exposure prophylaxis
more
The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve
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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.
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Women and girls have specific needs that are often ignored during crisis. While on the run or while living in shelters, women and girls continue to become pregnant, but they often lack access to basic sexual and reproduc-tive health care. Without as
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sistance by midwifes or access to contraceptives, women and girls are at increased risk of unsafe sex, unwanted pregnancy and unsafe delivery, and are at a higher risk of infection by HIV and other sexually transmitted infections. In addition, displaced women have virtually no access to protection, security, justice, and other services related to gender-based violence (GBV). For these reasons, the delivery of sexual and reproduc-tive health and rights (SRHR) as well as GBV services to conflict-affected communities – most of whom are living in protracted displacement – is a key part of UNFPA’s Women and Girls First Programme (WGF). The initia-tive is a commitment to prevent and respond to violence perpetrated against women and girls in Myanmar, and to realize their sexual and reproductive health and rights.
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The world is facing an unprecedented range of emergencies. In reaction to these complex adversities, many people experience considerable distress and impairment, and a minority may even go on to develop mental health conditions. Meanwhile, those wit
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h pre-existing mental health conditions may experience a worsening of their condition and are at risk of neglect, abandonment, abuse and lack of access to support. Unfortunately, evidence-based mental health care is often extremely limited in humanitarian settings. In response, the World Health Organization (WHO) and the United Nations High Commissioner for Refugees (UNHCR) published the Mental Health Gap Action Programme (mhGAP) Humanitarian Intervention Guide (mhGAP-HIG) in 2015. This practical tool supports health-care providers in assessing and offering first-line management of mental, neurological and substance use (MNS) conditions in humanitarian emergency settings.
2 December 2021. The current report, Stories of change from four countries: Building capacity for integrating mental health care within health services across humanitarian settings, describes efforts in four countries to build evidence-based mental health systems in humanitarian emergency settings using the mhGAP-HIG. This report includes three sections, the first describing the importance of scaling up mental health care in emergency contexts, the second outlining case studies (“stories of change”) to scale up the Mental Health Gap Action Programme (mhGAP) programme in four settings and the third describing lessons learned by stakeholders.
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The Government of Kenya, through the Ministry of Health, has the
constitutional obligation to provide the highest level of health care for its
citizens. The Ministry of
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Health’s review of the 2015 Policy document
on infection prevention and control (IPC) is in line with that goal.
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Ensuring mental health and well-being has become a worldwide imperative and an important target
of the Sustainable Development Goals.
But in all countries around the world, our response has been woefully insufficient, and we have made
little prog
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ress to advance mental health as a fundamental human right.
One in ten people are affected by a mental health condition, up to 200 million people have an
intellectual disability and an estimated 50 million people have dementia. Many persons with mental
health conditions, or psychosocial, intellectual, or cognitive disabilities lack access to quality mental
health services that respond to their needs and respect their rights and dignity.
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In the light of the transmissibility of coronaviruses, and the global experience with MERS-CoV (ongoing) and SARS in 2003 which were also caused by coronaviruses, South African authorities have compiled this guideline document to support surveillance, case finding, diagnosis, management and
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public health responses to cases under investigation.
*Please note*
The interim guidelines are based on what is currently known about the Coronavirus Disease 2019 (COVID-19). The National Department of Health (NDOH) and National Institute for Communicable Diseases will update these interim guidelines as needed and as additional information becomes available.
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POST TRAINING FOLLOW-UP TOOL
Human Resource Capacity Development in Public Health Supply Chain Management: Assessment Guide and Tool
USAID; Deliver Project
(2013)
this toolkit presents a structured, rating-based methodology designed to provide a rapid, comprehensive assessment of the capacity of the human resource support system for a country’s supply chain. Data are gathered from a document review, focus group discussions, and in-country stakeholder interv
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iews to identify the strengths, areas for improvement, opportunities, and challenges for a wide range of human resource inputs and components. The findings are transformed into specific recommendations and strategies for action based on an understanding of country priorities and programming gaps. It includes Word templates; PowerPoint templates and Exce-based Diagnostic Dashboard
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The paper sets out the specific communication challenge posed by Ebola and why it was so difficult to get to grips with this in the early months of the outbreak. It thendocuments when the health communication response became more useful and explores
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what that tells us about effective media and communication. Finally, it offers recommendations to ensure that media and communication are used to their full potential during other disease outbreaks and humanitarian crisis
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