Primary care represents the first level of personal health care services in the community, which ensures accessible, continual,
whole-person care for health needs throughout an individual’s lifespan. Primary care professionals work with patients and
their families to address their immediate and ...long-term health needs and not just for a set of specific diseases with an
approach that addresses the broader determinants of health and the interrelated aspects that influence people’s physical,
mental, and social well-being.
Nurses have a key role to play in primary care in expanding, connecting and coordinating care. Through their training and
work, they are well placed and have been shown to provide safe and effective care in disease prevention, diagnosis,
treatment, management and rehabilitation. The purpose of this document is to provide guidance and inspiration for
policymakers, instructors, managers and clinicians
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2010/4 Vol. 22 | pages 425 à 435
ISSN 0995-3914
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dans une base de données est également interdit.
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NSP Review
Engaging with South Africa’s National Strategic Plan for HIV, STIs and TB Edition 7 July – August 2013
A publication of the Treatment Action Campaign and SECTION27
GeneXpert: An imperfect rollout
TB in South African prisons: Where to now?
Decentralising DR-TB care: How far alon...g are we?
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Clean and sustainable household energy and appliances, for cooking, heating and lighting can improve health, increase productivity, reduce poverty and protect the environment while addressing air pollution.
This article is part four in a series of explainers on vaccine development and distribution
Available in different languages
Climate change, increasing population densities, and intensified globalisation in trade, travel and migration are among the most important factors shaping the 21st century. Each impacts upon population health and the risk of infectious disease, particularly those originating at the human-animal-envi...ronmental interface. The recognition that many risk drivers of infectious disease fall outside of the typical domain of the health sector creates the challenge of identifying and pursuing priorities for cross-sectoral action aimed at strengthening global health security. In response, the One Health concept has emerged, as have related initiatives addressing Planetary Health and Biodiversity and Human Health. From a public health perspective and operationally speaking, the One Health approach offers great potential, emphasising as it does cooperation and coordination between multiple sectors. Yet despite having been a focal point for discussion for over a decade, numerous challenges facing the implementation of One Health preparedness strategies remain. While some are technical, related to the requirement for innovative early warning systems or new vaccines, for example, others are institutional and cultural in nature, given the transdisciplinary nature of the topic. There have thus been calls to address One Health from multiple perspectives, from ecology to the social sciences. In order to further explore this issue and to identify priority areas for action for strengthening One Health preparedness in Europe, ECDC convened an expert consultation on 11–12 December 2017.
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Timely detection of novel coronavirus (2019-nCoV) infection cases is crucial to interrupt the spread of this virus. We assessed the required expertise and capacity for molecular detection of 2019-nCoV in specialised laboratories in 30 European Union/European Economic Area (EU/EEA) countries. Thirty-...eight laboratories in 24 EU/EEA countries had diagnostic tests available by 29 January 2020. A coverage of all EU/EEA countries was expected by mid-February. Availability of primers/probes, positive controls and personnel were main implementation barriers.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Issues & Regulations Regarding Pharmaceutical Waste Management