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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.
more
Data from the 2011 Ethiopia Demographic and Health Survey
2006-07 Swaziland Demographic and Health Survey
Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY
Data from the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys | This report examine
...
s trends in key demographic indicators among youth from the findings of the 2000, 2005, and 2011 Ethiopia Demographic and Health Surveys (EDHS).
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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
Data collection – 13th July to 13th September 2015
DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
Survey report
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) ... and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days. more
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) ... and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days. more
Annals of Global Health, 87(1), p.43. DOI: http://doi.org/10.5334/aogh.3269;
The aim of this study was to examine the prevalence of mental health symptoms (anxiety, depression,
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and stress) in Bangladesh and the factors associated with these symptoms during the COVID-19 pandemic.
They found that about 64%, 87%, and 61% of the respondents in Bangladesh reported high levels of depression, anxiety, and stress, respectively and this varied between divisions (regions), more in women, those who self-quarantined, and those that experienced classical symptoms of COVID-19. We think there is a need for mental health support in this population to minimise the long term effects.
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This report makes the case for a major new initiative—to rapidly recruit, train and deploy 2 million community health workers in Africa. Drawing on a vast body of evidence
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and substantial regional experience, the report shows how community health workers save lives and improve quality of life and how investments in community health workers effectively harness the demographic dividend, reduce gender inequality and accelerate economic growth and development. Indeed, the benefits of community health workers stretch from one end of the Agenda for Sustainable Development to the other.
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The Fifth Integrated Household Living Survey (EICV5) was conducted from October 2016 to October 2017, and is designed to provide accurate and up-to
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-date information that are useful to government, analysts and the public as they seek to monitor and evaluate efforts to reduce poverty.
This report presents and discusses key results from the EICV5 in the areas of demographic characteristics, migration, health, education, the characteristics of households and dwellings in Rwanda, economic activity patterns, environmental issues and households' access to credits and savings.
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