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A service guide for site operations
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 explores how machine learning and other AI techniques
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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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Harmonising proven strategies beyond the emergency phase. Zero Hunger Phase 2
Ghana Med J. 2012 Jun;46(2 Suppl):69-78.
This is one of seven Medical Peace Work courses.
“towards quality health and social welfare services”
Universal health coverage ensures everyone has access to the health services they need without suffering financial hardship as a result. In December 2012, a UN resolution was passed encouraging governments to move towards providing universal access to affordable and quality health care services. As
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countries move towards it, common challenges are emerging -- challenges to which research can help provide answers.
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The attainment of Zambia’s goal of being a prosperous and middle-income country by 2030 as stipulated in its Vision 2030 is dependent on among others, a healthy and productive population. Therefore, the Government of the Republic of Zambia (GRZ) has prioritized health as a key socio-economic inves
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tment in the Seventh National Development Plan 2017-2021. The government is also committed to achieving the targets under the health goal number three and other health related targets under other goals of the 2030 Sustainable Development agenda. Despite progress which has been made in improving the health of Zambians, the country still faces a high burden of communicable diseases and a growing burden of non-communicable diseases. Structural and social deprivation including poverty, inequalities and marginalisation also remain major threats to health. In order to effectively address all the social determinants of health, all sectors should take into account health and well-being as a key element of policy development.
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Zambia has about 1.2 physicians, nurses, and midwives per 1000 population while the minimum acceptable density threshold is 2.3 per 1000 population. The estimated shortage of doctors, nurses and midwives in Zambia is about 14,960. However, with the projected population growth the deficit more than d
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oubles disproportionately to, 25,849 in 2020, and 46,549 in 2035, at the current rate of HRH production. Worryingly, the human resources for health crisis has persisted for over 20 years. The efforts before and leading up to the development and implementation of the 2013 – 2016 National Training Operational Plan (NTOP) and the National Human Resources for Health Strategic Plan (2011 – 2016) yielded certain achievements, however, the HRH numbers and skill-mix gap remained disturbingly enormous.
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Antimicrobial resistance has become a serious public health threat for effective treatment of an ever increasing range of infections caused by bacteria, parasites, viruses and fungi. When infections can no longer be treated by first-line antibiotics, other antibiotics must be used, which are both mo
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re expensive and more toxic. Treatment and hospitalization is prolonged, and patients undergoing operations and other medical procedures are more vulnerable to infections. All this imposes a huge burden on health care systems and on the economy of countries. This is a major challenge to the health system in Mauritius which provides health care free of user cost to the whole population.
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This document sets out the preparedness and response plan of the Nigerian Primary Health Care System for COVID-19 Acute Respiratory Disease. It outlines the planning scenarios, key areas of work and priority activities required for the Primary Health Care Sector to quickly scale up its core capacity
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to prevent, quickly detect, characterize and efficiently respond, in a coordinated manner to the COVID-19 pandemic. These include guidelines for the setup and operationalization of COVID-19 response platforms at the national and state levels, guidelines for the provision of PHC services during the pandemic to minimize transmission in PHCs as well as guidelines for preparedness and response of PHC Centres and communities for COVID-19 case detection and response.
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This paper reviews the effects of vertical responses to COVID-19 on health systems, services, and people’s access to and use of them in LMICs, where historic and ongoing under-investments heighten vulnerability to a multiplicity of health threats. We use the term ‘vertical response’ to describ
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e decisions, measures and actions taken solely with the purpose of preventing and containing COVID-19, often without adequate consideration of how this affects the wider health system and pre-existing resource constraints.
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Clinical Pharmacology: Advances and Applications, 2025:17 29–47