Menthol in tobacco products
This guideline provides updated, evidence-informed guidance on the percentage of total fat in the diet to reduce the risk of unhealthy weight gain.
This guideline is intended for a wide audience involved in the development, design and implementation of policies and programmes in nutrition and pub...lic health. This guideline includes a recommended level of total fat intake which can be used by policy-makers and programme managers to address various aspects of dietary fat in their populations through a range of policy actions and public health interventions.
The guidance in this guideline replaces previous WHO guidance on total fat intake, including that from the 1989 WHO Study Group on Diet, Nutrition and the Prevention of Chronic Diseases and the 2002 Joint WHO/FAO Expert Consultation on Diet, Nutrition and the Prevention of Chronic Diseases. The guidance in this guideline should be considered in the context of that from other WHO guidelines on healthy diets.
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Having established the goal of eliminating transmission of gambiense human African trypanosomiasis (g-HAT) to humans, the HAT-e-TAG considered which elements should be developed to assess this goal.
Version 1: March 9, 2021. A living document
Cyclone in Mozambique and Zimbabwe
Ebola virus disease in Democratic Republic of the Congo
Humanitarian crisis in Mali
Humanitarian crisis in Central African Republic.
Le secrétariat du RSI à l’OMS a développé un outil pour les missions d’EEC qui mesure les aptitudes du pays à prévenir, détecter et répondre rapidement aux menaces de santé publique, conformément aux exigences du RSI (2005). Cet outil est également utilisé pour l’exercice d’auto-...évaluation réalisé par le pays, préalablement à l’EEC. Les résultats ainsi obtenus permettent de préparer un plan d’action national multisectoriel destiné à renforcer la mise en œuvre du RSI (2005).
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Economics plays a vital role in health policy-making and investments to reduce air pollution; in helping to understand the costs of health care; and in determining nations’ wealth and ability to invest in health and well-being..
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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Guidance statement
Recommendations on contraceptive methods used by
women at high risk of HIV
Annuaire des Statistiques Sanitaires
Summary of research into the consequences of the Ebola outbreak for children and communities in Liberia and Sierra Leone
Overview of Community-Based Integrated Management of Childhood Illnesses