Data from the 2011 Ethiopia Demographic and Health Survey
Conflict and Health 2015, 9:8 doi:10.1186/s13031-015-0035-8
This toolkit aims to provide you with a brief introduction of what SA and its core principles are, and how you as a student can apply several of the existing tools for your own school to really make a difference.
French, Spanish and Arabic Version available: https://ifmsa.org/social-acc...ountability/
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Following the encouraging initial results of the pilot project, the Ministry of Health is committed to increasing access to MDR-TB diagnosis, treatment and care. An expansion plan for the programmatic management of drug-resistant TB has been developed and forms part of the Five Year National Strateg...ic Plan for TB Control, 2011-2015. The long-term goals of the MDR-TB expansion plan are threefold:
1. Diagnosis of MDR-TB in all groups of patients at risk for MDR-TB
2. Diagnosis of MDR-TB in all HIV-infected TB patients
3. MDR-TB treatment for all patients diagnosed with MDR-TB under WHO-endorsed treatment protocols
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The survey is representative of the Union Territory, its states and regions and urban and rural areas. It was conducted in all the districts and in 296 of the 330 townships of Myanmar. A total of 13,730 households were interviewed. It collects data on the occupations of people, how much income they ...earn, and how they use this to meet the food, housing, health, education and other needs of their families. The main focus of the survey is to produce estimates of poverty and living conditions, to provide core data inputs into the System of National Accounts and the Consumer Price Index and to support monitoring of the Sustainable Development Goals.
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Reporting period: January 2014 – December 2014
The human immunodeficiency virus (HIV) epidemic in Myanmar is concentrated among men who have sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW). HIV prevalence in the adult population aged 15 years and older was esti...mated at 0.54% in 2014. But data from HIV Sentinel Sero-Surveillance (HSS) indicates higher prevalence in 2014 among key populations: FSW 6.3%, MSM 6.6% and PWID 23.1%. Compared to 2012 data, the prevalence has declined from 7.1% in FSW and 8.9% in MSM, but has increased from 18% in PWID.
Epidemiological modelling suggests that in 2014 there were around 212,000 people living with HIV (PLHIV) in Myanmar, 34% of whom were females. Nearly 11,000 people died of HIV-related illnesses, compared to approximately 15,000 in 2011. An estimated 9,000 new infections occurred in 2014.
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UNAIDS 2018 / Guidance
Guidance for policy-makers, and people living with, at risk of or affected by HIV
Sectors in which Priority Adaptation Projects should be implemented first include:
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Thir...d Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors).
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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.
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Six months in, the indirect impacts of COVID-19 take a toll on health, social and economic outcomes.
Guidance for addressing a global infodemic and fostering demand for immunization
December 2020
Misinformation threatens the success of vaccination programs across the world. This guide aims to help organizations to address the global infodemic through the development of strategic and well-coordina...ted national action plans to rapidly counter vaccine misinformation and build demand for vaccination that are informed by social listening.
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12 May 2021. This third survey in the series shows that the COVID-19 pandemic continues to impact societies, not only in terms of health, but also social and economic conditions and day-to-day life
Early damage assessments indicate that at least 800,000 people could be directly exposed to minor to severe damages, including communication, access, security, loss of livelihoods, infrastructure, and health services could be impacted.
Event-based surveillance (EBS) is defined as the organized collection, monitoring, assessment and interpretation of mainly unstructured ad hoc information regarding health events or risks, which may represent an acute risk to health. Both indicator-based and event-based surveillance components serve... the early warning and response (EWAR) function of the public health surveillance system. The Framework for Event-based Surveillance offers guidance to public health practitioners seeking to implement EBS at each administrative level in healthier countries.
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During the first year of the Covid-19 pandemic, the world’s economy slowed. Yet, the global annual average particulate pollution (PM2.5) was largely unchanged from 2019 levels. At the same time, growing evidence shows air pollution—even when experienced at very low levels—hurts human health. T...his recently led the World Health Organization (WHO) to revise its guideline for what it considers a safe level of exposure of particulate pollution, bringing most of the world—97.3 percent of the global population—into the unsafe zone. The AQLI finds that particulate air pollution takes 2.2 years off global average life expectancy, or a combined 17 billion life-years, relative to a world that met the WHO guideline. This impact on life expectancy is comparable to that of smoking, more than three times that of alcohol use and unsafe water, six times that of HIV/AIDS, and 89 times that of conflict and terrorism.
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This Guideline, the first for the country, draws from national health sector reforms and integration agenda as outlined in the key national strategic documents. The Guide applies lessons learnt from the SRH/HIV Linkages project and its scale-up; other national experiences and from regional and globa...l evidence and guidance on high-impact interventions that promote sustainable, equitable and effective delivery of health services to achieve Universal Health coverage.
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Humanitarian crises exacerbate nutritional risks and often lead to an increase in acute malnutrition. Emergencies include both manmade (conflict) and natural disasters (floods, drought, cyclones, typhoons, earthquakes, volcanic eruptions, etc.). Complex emergencies are combinations of both manmade a...nd natural disasters, often of a protracted nature. Millions of people are affected by humanitarian crises every year. The increasing frequency and scale of emergencies requires nutrition to be addressed in all phases of a response.
Crisis situations, whether acute or protracted, impact on a range of factors that can increase the risk of undernutrition, morbidity, and mortality. They may involve: the large-scale destruction of property and infrastructure; the erosion of livelihood strategies and purchasing power; a breakdown of and reduced access to essential services, including health services, water supply, and sanitation; and the displacement of large numbers of people. Emergencies can also disrupt social systems and the quality of care/feeding practices. Household access to food may be negatively affected and people may find themselves in overcrowded settlements with their families divided. As a result, at the individual level, there is often an increased risk of deteriorating health and nutritional status, resulting in a greater likelihood of death.
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