UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing ...of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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High levels of storage iron may increase malaria susceptibility. This risk has not been investigated in semi-immune adolescents. We investigated whether baseline iron status of nonpregnant adolescent girls living in a high malaria transmission area in Burkina Faso affected malaria risk during the fo...llowing rainy season. For this prospective study, we analysed data from an interim safety survey, conducted six months into a randomised iron supplementation trial. We used logistic regression to model the risk of P. falciparum infection prevalence by microscopy, the pre-specified interim safety outcome, in relation to iron status, nutritional indicators and menarche assessed at recruitment.
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Sleeping sickness is a neglected tropical disease affecting rural communities in sub-Saharan Africa. The reduction in the number of reported cases in recent years indicates that disease transmission is under control. However, many aspects of patient management still need to be improved. Undiagnosed ...patients or inappropriate treatment due to an incorrect determination of the disease stage could in fact lead to its re-emergence. There is thus a strong need for new diagnostic and staging tools to keep the disease under control and to improve the clinical care of patients. This review describes the most promising biomarkers proposed so far for the diagnosis and stage determination of patients suffering from sleeping sickness, with a particular emphasis on their translation into diagnostic tools for field applications.
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Contraceptive Dynamics Following HIV Testing
Towards a world free of tuberculosis
The document describes the use of strategic information at various stages of the response in the context of strengthening broader health information systems. Strategic information can be defined as data collected at all service delivery and administrative levels to inform policy and programme decisi...ons.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV‑2) causing coronavirus disease 2019 (COVID-19) has reached pandemic levels;
Patients with cardiovascular (CV) risk factors and established cardiovascular disease (CVD) represent a vulnerable population when suffering from COVID-19;
Patien...ts with cardiac injury in the context of COVID-19 have an increased risk of morbidity and mortality
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In support of the London Declaration goals, PATH aims to catalyze engagement of the diagnostics industry and product development efforts. As part of this work, PATH conducted a diagnostic landscape analysis to identify gaps and evaluated current and nascent HAT diagnostics that may provide solutions....
We conducted literature reviews and interviews with key stakeholders to identify use cases for HAT diagnostics, understand current practices, and analyze progress toward more robust diagnostics across
different biomarkers.
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This analysis focused on the chronic form of HAT caused by T. b. gambiense, as it contributes to the majority of disease burden. Information from the literature review,
product development landscape, and stakeholder interviews was compiled to:
- Identify use cases and understand current diagnosti...c practices and tools associated with each use case.
- Analyze progress toward robust diagnostics for HAT across different biomarkers.
- Develop recommendations for steps to improve the availability, access, and adoption of HAT diagnostic tools.
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1st edition.
Unitaid’s report describes a slate of new devices that can more efficiently identify dangerously ill children so that they can be treated immediately. These tools make it easier to recognize danger signs, and support integrated approaches to reducing childhood deaths from the three ...greatest childhood killers: malaria, pneumonia and diarrhoea.
The report also highlights tests that can determine whether or not a child has an illness that can be treated with antibiotics. Viral infections are a common cause of childhood fevers, but cannot be cured with antibiotics. Although many children seeking care at clinics have fever, three-quarters by some estimates, only a small fraction of those have an illness that can be treated with an antimalarial or antibiotic drug
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A global Review of evidence and practice
The European Respiratory Society (ERS)/American Thoracic Society (ATS) Task Force on severe asthma includes an updated definition of severe asthma, a discussion of severe asthma phenotypes in relation to genetics, natural history, pathobiology and physiology, as well as sections on evaluation and tr...eatment of severe asthma where specific recommendations for practice are made. See the unabridged online version of the document for detailed discussion of the definition of severe asthma, phenotypes and recommendations for practice.
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Approximately 80% of the 463 million adults worldwide with diabetes live in low-income and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the scarce availability of nationally representative data on the current patterns... of treatment coverage. The objectives of this study were to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment; and to describe country-level and individual-level characteristics that are associated with treatment.
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