l’IMC et le gain de poids gestationnel sont des facteurs déterminants des risques de
résultats de grossesse, de la santé de la mère et de l’enfant. Cette étude analyse l’incidence de la
nutrition chez les femmes enceintes sur la santé néonatale au Bénin. Les résultats d’estimation... par les
équations simultanées montrent que le gain de poids gestationnel insuffisant ou excessif a des effets
néfastes aussi bien sur la santé de la mère que sur celui de l’enfant. L’étude montre que la majorité des
femmes béninoises étudiées, avec un IMC faible ou normal n’atteignent pas le gain de poids
gestationnel recommandé en fin de grossesse. La plupart des nouveau-nés de petits poids de naissance
sont nés de femme dont l’IMC est normal, ce qui renforce la théorie bien connue que l’IMC n’est pas un
bon indicateur de la malnutrition chez la femme enceinte.
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This handbook was designed primarily as a tool for district clinical specialist teams (DCSTs), and for the provincial specialists who will guide and support their work. This handbook will also be useful to managers of health facilities, heads of clinical units and nurses, doctors and allied health w...orkers at the coalface of clinical care. This handbook will be of interest to district managers and other members of the district management team who are dedicated to developing the capacity of the district health system to respond
effectively to the health needs of the population they serve. It will help them understand the role of the DCSTs and the type of
activities they need to engage in to improve the quality of care
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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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UNICEF trucks water to the camps where people displaced by the conflict have temporarily settled. UNICEF also installed latrines, showers and water storage tanks in the camps and distributed family hygiene kits to protect children against waterborne diseases.
Statement
Impact of migration on infectious diseases in Europe | August 2007 | 1-7
Globally, the cancer burden is rising, exerting significant strain on
populations and health systems at all levels of income. There are
concerted efforts towards enhancing access to comprehensive
cancer prevention and control initiatives.