Guidelines
HIV drug resistance
July 2017
The report reflects on the trends, achievements and challenges in global health over the past decade during which Dr Margaret Chan has been Director-General of WHO. It discusses the role of WHO in dealing with such issues as the rise of noncommunicable diseases, leaps in life expectancy, and emergin...g threats like climate change and antimicrobial resistance.
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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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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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This study explored family adjustment and access to rehabilitative services for children with Down syndrome, between 0-5 years of age, in the ecoculture of Petchaburi Province, Thailand.
Replacement of Annex 2 of WHO Technical Report Series, No. 964... morbidity. These preparations are included in the WHO List of Essential Medicines and should be part of any primary health care package where snakebites occur. Currently, there is an urgent need to ensure availability of safe, effective and affordable antivenoms, particularly to those in developing countries and to improve the regulatory control over the manufacture, import and sale of antivenoms.>
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Updates for the integrated management of childhood illness (IMCI) - Guideline.
As part of its response to the global epidemic of obesity, WHO has issued guidelines to support primary healthcare workers identify and manage children who are overweight or obese. Specifically, all infants and children ...aged less than 5 years presenting to primary health-care facilities should have both weight and height measured in order to determine their weight-for-height and their nutritional status according to WHO child growth standards. Comparing a child's weight with norms for its length/height is an effective way to assess for both wasting and overweight
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Prepared for the Stunting Prevention and Reduction Project - The project Medical Waste Management Plan’s (MWMP) overall objective is to prevent and/or mitigate the negative effects of increased generation of medical waste on human health and the environment. The plan proposes measures to prevent t...he spread of infection and reduce the
exposure of health workers, patients and the general public to the risks from medical waste. The plan is to be used by all project implementation entities to manage medical waste associated with
project activities. These entities will have appropriate procedures and capacities in place to manage the medical waste.
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This report complements the previous poverty analysis studies by presenting a series of poverty maps of Rwanda at cell and sector levels, based on data from EICV4 and the 2012 Population and Housing Census. A poverty map is simply a map that shows the incidence of poverty in different areas of the c...ountry. It allows the viewer to appreciate, at a glance, the geographic dimensions of poverty. Apart from their intrinsic interest, poverty maps may be used to help guide the allocation of resources across local agencies or governmental units, in an effort to better target efforts to reach the poor by pinpointing the small areas of most need.
In 2015, the National Institute of Statistics of Rwanda (NISR) published the Rwanda Poverty Profile Report which provided a detailed portrait of the extent and nature of poverty in the country, while in 2016 a Poverty Trends Analysis Report which complements the Profile study by looking at the trends in poverty between 2010/11 and 2013/14 was also published. Both reports were based on information collected by an integrated household living conditions survey (EICV4) undertaken between October 2013 and September 2014.
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The 2014–2015 Ebola epidemic in western Africa was the longest and most deadly Ebola epidemic in history, resulting in 28,616 cases and 11,310 deaths in Guinea, Liberia, and Sierra Leone. The Ebola virus has been known since 1976, when two separate outbreaks were identified in the Democratic Repub...lic of Congo (then Zaire) and South Sudan (then Sudan). However, because all Ebola outbreaks prior to that in West Africa in 2014–2015 were relatively isolated and of short duration, little was known about how to best manage patients to improve survival, and there were no approved therapeutics or vaccines. When the World Heath Organization declared the 2014-2015 epidemic a public health emergency of international concern in August 2014, several teams began conducting formal clinical trials in the Ebola affected countries during the outbreak.
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DEMOGRAPHIC RESEARCH, VOLUME 36, ARTICLE 37, PAGES 1081-1108; PUBLISHED 5 APRIL 2017; http://www.demographic-research.org/Volumes/Vol36/37/; DOI: 10.4054/DemRes.2017.36.37
J Hepatol (2017), http://dx.doi.org/10.1016/j.jhep.2017.03.021