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1
Country Factsheets Azerbaijan 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 27.09.2019
Country Factsheets Bosnia and Herzegovina 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 26.09.2019
Country factsheets Kazakhstan 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 26.09.2019
Country factsheets Kyrgyzstan 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 26.09.2019
Country factsheets Republic of Moldova 2016 - HIV and AIDS Estimates
recommended
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 24.09.2019
Country factsheets Montenegro 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 24.09.2019
Country factsheets Uzbekistan 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 24.09.2019
Country factsheets Tajikistan 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 04.10.2019
Country factsheets Ukraine 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 04.10.2019
Improving UNAIDS’ paediatric and adolescent estimates
UNAIDS
(2019)
C2
Accessed: 20.10.2019
Working Paper 589 July 2021T
Global and regional estimates of violence against women
he report presents the first global systematic review of scientific data on the prevalence of two forms of violence against women: violence by an intimate partner (intimate partner violence) a
...
nd sexual violence by someone other than a partner (non-partner sexual violence). It shows, for the first time, global and regional estimates of the prevalence of these two forms of violence, using data from around the world. Previous reporting on violence against women has not differentiated between partner and non-partner violence. You can download the report in different languages
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This publication provides guidance to governments, civil society organizations (nongovernmental organizations and community-based organizations) and other partners implementing HIV prevention, care and treatment programs with key populations. This guide is designed to assist these programs in the de
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velopment of monitoring systems for frontline workers (such as peer outreach workers, staff outreach supervisors and program managers) to understand performance. It includes comprehensive tools and forms that various levels of staff can use to collect and analyze data to manage and improve a program.
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2016 revision
Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 mill ... ion, but the 2014 Census showed that the population (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 mill ... ion, but the 2014 Census showed that the population (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
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 miscl
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assification 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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Country factsheets: The former Yugoslav republic of Macedonia 2016 - HIV and AIDS Estimates
UNAIDS; AIDSinfo
(2019)
C2
Accessed: 26.09.2019
In this paper they make estimates of the potential short-term economic impact of COVID-19 on global monetary poverty through contractions in per capita household income or consumption.
The estimates
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are based on three scenarios: low, medium, and high global contractions of 5, 10, and 20 per cent; we calculate the impact of each of these scenarios on the poverty headcount using the international poverty lines of US$1.90, US$3.20 and US$5.50 per day.
The estimates show that COVID poses a real challenge to the UN Sustainable Development Goal of ending poverty by 2030 because global poverty could increase for the first time since 1990 and, depending on the poverty line, such increase could represent a reversal of approximately a decade in the world’s progress in reducing poverty.
In some regions the adverse impacts could result in poverty levels similar to those recorded 30 years ago. Under the most extreme scenario of a 20 per cent income or consumption contraction, the number of people living in poverty could increase by 420–580 million, relative to the latest official recorded figures for 2018.
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