BMJ,Dodd PJ, et al. Thorax 2017;72:559–575. doi:10.1136/thoraxjnl-2016-209421
UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
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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The Namibia Population-based HIV Impact Assessment (NAMPHIA) 2017 | The Ministry of Health and Services is leading the NAMPHIA survey in collaboration with the Namibia Statistics Agency (NSA) and the Namibia Institute of Pathology (NIP). The survey is supported by the United States President’s Eme...rgency Plan for AIDS Relief (PEPFAR), through the U.S. Centers for Disease Control and Prevention (CDC). | The goal of NAMPHIA is to examine the current distribution of the HIV epidemic and assess the impact of Namibia’s prevention, care and treatment response across all 14 regions of Namibia.
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In 2020, the COVID-19 pandemic impacted the world beyond imagination. To date, it has infected more than 135 million people, killed over 2.9 million people, and is projected to plunge up to 115 million people into extreme poverty.1 As countries have gone into lockdown, gender-based violence has incr...eased, unemployment has soared, and access to health care for the poorest and most vulnerable has been cut. COVID-19 has made people less likely to seek health care because they are afraid of getting infected with the virus. Fear and uncertainty surrounding COVID-19 have also increased stigma and discrimination. As frontline workers without enough access to personal protective equipment (PPE) risk their lives to treat patients, the virus pushes already fragile health systems to the brink.
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Chapter 1 provides new data on the latest developments in the global treatment effort, highlighting positive trends as well as aspects that require improvement. Chapter 2 summarizes the impact of the scale-up in reducing AIDS-related mortality and new HIV infections. Chapter 3 examines the sequence ...of steps in the continuum of care from HIV diagnosis to successful provision of ART services and outlines key supportive innovations. Chapter 4 discusses the implications and anticipated impact of the new "Consolidated guidelines on the use of ARV drugs for treating and preventing HIV infection
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Since 2002, development assistance for health has substantially increased,
especially investments for HIV, tuberculosis (TB) and malaria control. We
undertook a systematic review to assess and synthesize the existing evidence in
the scientific literature on the health impacts of these investments
The Namibia Population-based HIV Impact Assessment (NAMPHIA) 2017 | The Ministry of Health and Services is leading the NAMPHIA survey in collaboration with the Namibia Statistics Agency (NSA) and the Namibia Institute of Pathology (NIP). The survey is supported by the United States President’s Eme...rgency Plan for AIDS Relief (PEPFAR), through the U.S. Centers for Disease Control and Prevention (CDC). | The goal of NAMPHIA is to examine the current distribution of the HIV epidemic and assess the impact of Namibia’s prevention, care and treatment response across all 14 regions of Namibia.
more
The Namibia Population-based HIV Impact Assessment (NAMPHIA) 2017 | The Ministry of Health and Services is leading the NAMPHIA survey in collaboration with the Namibia Statistics Agency (NSA) and the Namibia Institute of Pathology (NIP). The survey is supported by the United States President’s Eme...rgency Plan for AIDS Relief (PEPFAR), through the U.S. Centers for Disease Control and Prevention (CDC). | The goal of NAMPHIA is to examine the current distribution of the HIV epidemic and assess the impact of Namibia’s prevention, care and treatment response across all 14 regions of Namibia.
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The updated guidelines present a standard minimum dataset, priority indicators and recommendations to strengthen data use across HIV prevention, testing and treatment, and linkages to services for sexually transmitted infections, viral hepatitis, tuberculosis and cervical cancer. The guidelines also... cover the use of routinely collected data for HIV surveillance (including measurement of HIV prevalence and incidence) and emphasize the use of data from different sources to gain a better picture of epidemiologic trends. The whole collection you can download from here https://www.who.int/publications/i/item/9789240055315
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The updated guidelines present a standard minimum dataset, priority indicators and recommendations to strengthen data use across HIV prevention, testing and treatment, and linkages to services for sexually transmitted infections, viral hepatitis, tuberculosis and cervical cancer. The guidelines also... cover the use of routinely collected data for HIV surveillance (including measurement of HIV prevalence and incidence) and emphasize the use of data from different sources to gain a better picture of epidemiologic trends.
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Thirty-three years after its discovery, the Human Immunodeficiency Virus (HIV), responsible for the AIDS pandemic, remains a major public health problem despite advanced researches providing better diagnostic and therapeutic tools. The virus targets especially CD4+ T cells, leading to deficiency of ...the immune system and altering therefore defense against infections and cancer cells. Antiretroviral
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BMC Public Health (2021) 21:299 https://doi.org/10.1186/s12889-021-10296-9
While many of the countries hit by the COVID-19 in the first few months of the year are now beginning to relax lockdown measures as infection and death rates fall, in the regions most affected by HIV, TB and malaria, such as Africa, South Asia and Latin America, the pandemic continues to accelerate.... In lower resource settings, lockdowns are less effective and hard to sustain, and clinical care facilities are extremely limited. In such environments, the response to COVID-19 must focus on containing the pandemic’s spread as far as possible through testing, contact tracing and isolation, protecting the health workforce through training and the provision of personal protective equipment (PPE) and minimizing the knock-on impact on other diseases through shoring up fragile health systems, and adapting existing disease programs.
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The WHO Global strategy on human resources for health: workforce 2030 encourages development partners and global health initiatives to leverage their support to health systems in countries to sustainably strengthen the health workforce. To assess the impact of these investments, a methodology was de...veloped and pilot tested by WHO.
The impact assessment tool (consisting of an MS Excel calculator with two subsets) supports users to:
• assess and quantify the health impact of HRH investments made in the context of HIV, tuberculosis (TB) and malaria programmes through their modelled effect on health service coverage of these three diseases; and
• provide aggregate indicative estimates of the range of health workers required to attain high coverage of selected health services.
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No publication year indicated