4. Central African Republic
Clashes throughout 2018 in the capital Bangui and a number of major towns illustrate the deadly threat posed by armed groups – a mix of pro-government militias, ex-rebels, bandits and local “self-defence” units – that control much of the countr...y. MINUSCA, the UN peacekeeping force, has failed to neutralise these groups and, as a result, is mistrusted by the general public. Likewise, the national army, slowly being deployed in parts of the country, has been unable to constrain the armed groups’ predatory activities. The humanitarian situation remains dire, with more than one million people internally displaced or fleeing to neighbouring countries and 2.5 million in need of assistance, according to the UN.
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Le présent manuel fournit les directives actualisées à l'intention des médecins, infirmiers et laborantins confrontés à la tuberculose multirésistante (TB-MR). Il remplace la version élaborée en 2007 et s’est enrichi de l’expérience pratique de six années. Il s’appuie sur les recomm...andations de l’OMS de 2011.
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Les personnes handicapées sont confrontées à des besoins spécifiques auxquels la communauté n’accorde pas toute l’attention requise. Un nombre important de cette couche vulnérable vit dans des conditions déplorables, à la limite déshumanisantes.
L'annuaire statistique a pour vocation entre autres, de fournir aux acteuers de terrain, décideurs et partenaires techniques et financiers un capital d'informations pour guider la prise de décision. Il est un référentiel en matière d'informations statistiques du pays. A ce titre, il vise à fou...rnir l'information sanitaire de qualité afin de situer le niveau de performance des strucutres sanitaires du pays.
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The aim of the present study was to predict which patients with severe or difficult-to-treat asthma are at highest risk for healthcare utilisation can be predicted so as to optimise clinical management. Data were derived from 2,821 adults with asthma enrolled in The Epidemiology and Natural History ...of Asthma: Outcomes and Treatment Regimens (TENOR) study. Multiple potential predictors were assessed at baseline using a systematic algorithm employing stepwise logistic regression. Outcomes were asthma-related hospitalisations or emergency department (ED) visits within 6 months following baseline.
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