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Each year, about 210 million women become pregnant and about 140 million newborn babies are delivered. The sheer scale of maternal health issues makes maternal well being and survival vital concerns. A decade after The Lancet published a Series on maternal survival, a new Series of six papers brings
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our knowledge of maternal health, its epidemiology, successes, and current failings together, and at a crucial time within the sustainable development framework to 2030. The Series concludes with a call to action setting out five key targets which need to be met to ensure the progression of broader sustainable development goals (SDGs).
Open Access
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The most frequent health problems of newly arrived refugees and migrants include accidental injuries, hypothermia, burns, gastrointestinal illnesses, cardiovascular events, pregnancy- and delivery-related complications, diabetes and hypertension. Female refugees and migrants frequently face specific
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challenges, particularly in maternal, newborn and child health, sexual and reproductive health, and violence. The exposure of refugees and migrants to the risks associated with population movements – psychosocial disorders, reproductive health problems, higher newborn mortality, drug abuse, nutrition disorders, alcoholism and exposure to violence – increase their vulnerability to noncommunicable diseases (NCDs)
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JOURNAL OF THE ASSOCIATION OF NURSES IN AIDS CARE, Vol. 28, No. 2, March/April 2017, 186-198
http://dx.doi.org/10.1016/j.jana.2015.09.003
DHS Analytical Studies No. 55.
CBM and the Global Campaign for Education 2014
AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
Pan African Medical Journal 2017;27:215. doi: 10.11604/pamj.2017.27.215.12994
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
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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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More than a quarter of the global population still cook meals over open fires and/or on simple stoves fuelled by firewood, agricultural waste, dried dung, charcoal, and coal. This practice results in the emission of harmful and dangerously high levels of household air pollution.
Exposure to this h
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ousehold air pollution has been estimated to cause around 3.2 million deaths annually in 2019; these emissions also worsen ambient air quality, alter the global climate, have gendered livelihood impacts, and degrade the local environment.
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