Le Plan Stratégique Multisectoriel d’Élimination du Choléra en République Démocratique du Congo (2013-2017) vise à réduire l’incidence du choléra à moins d’un cas pour 100 000 habitants. Ce plan repose sur une approche multisectorielle, combinant santé, eau, hygiène et assainissemen...t pour enrayer la transmission du choléra.
Il identifie trois types de zones : zones sources (A), zones épidémiques (B) et zones de diffusion (C), chacune nécessitant des interventions adaptées. Les stratégies incluent l’amélioration des infrastructures d’eau potable et d’assainissement, la surveillance épidémiologique, la prévention, la prise en charge médicale et la coordination des actions.
Malgré des progrès dans certaines régions, la mise en œuvre du plan a rencontré des défis, notamment en raison du manque de financements et de la persistance de foyers endémiques dans l'Est du pays. Une coordination nationale et internationale est essentielle pour mobiliser les ressources et atteindre l'objectif d'élimination du choléra en RDC.
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One important application of digital health in TB patient care is the support that it can lend to medication adherence. TB programmes have already been using short message service (SMS), video-supported treatment (VOT) and event monitoring device for medication support ...(EMM)1 to help patients complete treatment and health-care workers to monitor both daily dosing and treatment continuity
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This study aimed to understand the patterns of HIV drug resistance in pregnant women in Mozambique. This might help in tailoring optimal regimens for prevention of mother to child transmission of HIV (pMTCT) and antenatal care.
Rabies has an enormous impact on both agriculture and conservation biology, but its greatest burden is undeniably on public health. As such, routine methods for rapid risk assessment after human exposures to rabies as well as applications for laboratory-based surveillance, production of biologicals ...and management of this infectious disease are critical. Given its mandate to improve human health and control disease among its Member States, WHO has led the production of this fifth edition of Laboratory techniques in rabies.
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This publication is part of WHO 75th anniversary and aims to capture key successes in public health globally and in Namibia. It includes contributory messages from the Head of State, Prime Minister and the Minister of Health and Social Services.
PQDx 0214-064-00
WHO PQDx PR
April/2016, version 3.0
PLoS Negl Trop Dis 16(11): e0010885. https://doi.org/10.1371/journal.pntd.0010885
HAT diagnosis in non-endemic countries is rare and can be challenging, but alertness and
surveillance must be maintained to contribute to WHO’s elimination goals. Early detection is
particularly important as it co...nsiderably improves the prognosis.
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Front. Trop. Dis. , 09 May 2023 Sec. Neglected Tropical Diseases Volume 4 - 2023 | https://doi.org/10.3389/fitd.2023.1087003
The WHO Cholera Vaccine Position Paper (August 2017) highlights the importance of oral cholera vaccines (OCVs) as a key tool in outbreak response and prevention, alongside water, sanitation, and hygiene (WASH) measures. It recommends OCVs for high-risk populations, endemic areas, and humanitarian cr...ises, emphasizing their effectiveness in reducing cases and mortality. The paper discusses two types of OCVs (Dukoral®, Shanchol™, Euvichol®) and supports the WHO-managed vaccine stockpile for rapid deployment in cholera-prone regions.
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Ainsi, le présent profil peint le faciès épidémiologique du pays pour l’année 2015
avec un clin d’œil sur le niveau de réalisation des Objectifs du millénaire pour le
développement (OMD) et un focus particulier sur l’appropriation des Objectifs de
développement durable (ODD). Il e...st composé de six chapitres que sont (i)
Introduction au contexte du pays ; (ii) Etat et tendance des indicateurs de santé ; (iii)
Système de santé ; (iv) Progrès des objectifs de développement durable ; (v)
Programmes et services spécifiques ; (vi) Déterminants clés de la santé.
C’est un outil recommandé par l’OMS et est indispensable pour le pays en prélude à
la mise en place de l’Observatoire national de la santé. Son élaboration a connu un
processus participatif avec l’implication des différents acteurs intervenant dans le
domaine de la santé.
Profil sanitaire complet du Burkina Faso 2015 Page 7
Le document du profil pays a été organisé en 4 modules à savoir :
Module 1 : La situation socio-sanitaire du Burkina Faso et mise en œuvre des ODD ;
Module 2 : Le Système de santé au Burkina Faso ;
Module 3 : Les programmes et services spécifiques de santé au Burkina Faso ;
Module 4 : Les déterminants clés de la santé.
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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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