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The crisis caused by the COVID-19 pandemic exacerbated preexisting structural economic inequalities, and had a disproportionate impact on informal workers, especially on women and young people, who
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lost jobs and income. The situation was even more difficult for single-parent households led by women, who also had to endure more housework and care tasks. As shown by various research studies, the asymmetric distribution of care tasks, taken up by women, is an inequality factor.
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While there has been real progress in addressing the burden of disease in the WHO African region, the COVID-19 pandemic has highlighted the link between health, economics and security, as the region saw decades of progress threatened, including posi
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tive trends in decreasing inequality. In the African Region the momentum towards achieving the 2030 SDG disease burden reduction targets (SDG targets 3.3, 3.4 and 3B) has stalled.
The COVID-19 pandemic was also a major threat to gains made, such as the eradication of polio in the region, declared in 2020; reduced numbers of new HIV infections in 2021 compared to 2010; and passing the 2020 milestone of the End TB Strategy, with a 22% reduction in new cases compared with 2015. However, the pandemic also disrupted essential health services in 92% of countries globally, 22.7 million children missed basic immunization, there was an increase in malaria and TB, and global deaths from TB rose for the first time since 2015.
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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 exp
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lores 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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Joining efforts to control two trelated global epidemics.
This external performance evaluation of the Malawi Girls’ Empowerment through Education and Health Activity (ASPIRE), conducted 2.5 years after ASPIRE began, establishes the activity’s progress against its objectives, proposes adaptations for th
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e final year, and captures lessons for application in future girls’ empowerment, health, and education programming in Malawi.
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Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence
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. These people experience varying combinations of poor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
Charting the Course of Education and HIV
UNESCO Publishing (United Nations Educational, Scientific and Cultural Organization)
(2014)
C2
Education on the move
The document presents an assessment developed by both institutions as a contribution to the prioritization of education in national response plans to the health emergency and future recovery strategies. "Countries have deployed various response
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and recovery plans in which education needs to be incorporated as a central element," the report says, "not only to ensure an education response, but to achieve an equitable, inclusive and sustainable recovery”.
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Cross-sectional Survey to Assess Prevalence of Disability and Access to Services in Albay Province, The Philippines
Hodge, M., Bolinas, A., Jaucian, E., et al.
Disability, CBR & Inclusive Development Journal (DCIDJ)
(2017)
CC
In this article a cluster randomized cross-sectional survey, conducted in Albay Province in the Philippines in April 2016, was used to assess the prevalence of disability and access to support services. This was done with the purpose of generating
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representative data for local programme development. A cross-sectional survey was carried out with the WG/UNICEF methodology to examine the prevalence of disabilities, and the accessibility and coverage of relevant services. The aim is for this information to be used for public policy formulation at all levels, as well as to improve communication and advocacy on disabilities.
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Miscellaneous
Child and adolescent psychiatric emergencies
Chapter J.1
What at first glance appears to be simple causality – climate change leading to more and more migration – has triggered intense academic debate over the past ten years because the circumstances are complex. There is need for a thorough analysis
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in the ground between denying the problem and asserting immediate causality. In international relations, migration induced by climate change and environmental degradation is increasingly recognized as a problem, whether in the framework of international climate policy, international migration policy, development cooperation, or international crisis management. But considering the dimension of these major challenges, only small steps have been taken so far. The scope of the problem continues to be underestimated. Climate change is jeopardizing the livelihoods of more and more people. It is a risk multiplier. Although understanding of the connection between climate change and migration has increased, many questions have yet to be answered. We need more knowledge to better support the people affected.
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The COVID-19 pandemic is having far reaching impacts, well beyond the health crisis and needs, with the most severe impacts experienced in the poorest countries and those most vulnerable to humanita
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rian crises including natural disasters, such as Nepal.
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The regional Migrant Response Plan (MRP) for the Horn of Africa and Yemen includes urgent life-saving humanitarian and protection interventions to improve safe
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and dignified access to basic services for migrants and host communities while ensuring medium- to long-term actions aimed at addressing the drivers of migration.
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Assessment in English on South Sudan about Education, Food and Nutrition, Drought, Epidemic and more; published on 22 Jul 2022 by IOM
