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Publication Years
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2968
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Country profile: Zimbabwe
Country profile: Zambia
Infectious Diseases in Ukraine
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Data on Infectious Diseases in Ukraine Now Available as a Free eBook to Help Medics and Relief Efforts During the War.
• Data on the 215+ infectious diseases endemic to Ukraine
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on infections imported into Ukraine
To download the book, please click the button below and use the coupon code EBOOKUKRAINE at checkout: The code will expire in 30 days.
March 2nd, 2022
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Data from 22 countries across the region featured in the study shows children are bearing the heaviest burden of the economic crisis caused by the war in Ukraine. While children make up 25 per cent of the population, they account for nearly 40 per c
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ent of the additional 10.4 million people experiencing poverty this year.
The Russian Federation has experienced the most significant increase in the number of children living in poverty, with an additional 2.8 million children now living in households below the poverty line, accounting for nearly three-quarters of the total increase across the region. Ukraine is home to half a million additional children living in poverty, the second largest share. It is important to note that this is a conservative estimate which uses a GDP drop of 10 per cent.
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AidData has developed a set of open source data collection methods to track project-level data on suppliers of official finance who do not participate in global reporting systems. This codebook outl
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In the first iteration of this codebook, AidData's Media-Based Data Collection Methodology, Version 1.0, we referred to our data collection procedures as a “media-based data collection” (MBDC) methodology. The term “media-based” was misleading, as the methodology does not rely exclusively on media reports; rather, media reports are used only as a departure point, and are supplemented with case studies undertaken by scholars and non-governmental organizations, project inventories supplied through Chinese embassy websites, and grants and loan data published by recipient governments. In the interest of providing greater clarity, we now refer to our methodology for systematically gathering open source development finance information as the Tracking Underreported Financial Flows (TUFF) methodology. This codebook outlines the set of TUFF procedures that have been developed, tested, refined, and implemented by AidData staff and affiliated faculty at the College of William & Mary and Brigham Young University.
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World malaria report 2024
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New data from the WHO reveal that an estimated 2.2 billion cases of malaria and 12.7 million deaths have been averted since 2000, but the disease remains a serious global health threat, particularly in the WHO African Region. According to WHO’s la
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Global update on HIV treatment 2013: Results, impact and opportunities
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Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data
A country Profile 2014
ACAPS Primary Data Collection report: November 2015.
This report reflects the views and voices of 53 university students in Sierra Leone and results from a focus group discussion held at the Geography Department, at Fourah Bay College, University o
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Situation of Disabilities in Indonesia with Data and Statistics
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African Journal of Primary Health Care & Family Medicine (PHCFM)
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No country can claim to be free from health-care associated infections, therefore, improvement of infection prevention and control (IPC) strategies is essential. WHO recommends the use of multimodal improvement strategies to implement IPC interventi
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ons. These include each item of standard and transmission-based precautions according to national guidelines or standard operating procedures and under the coordination of the national IPC focal point (or team, if existing). This publication consists of three focused improvement tools, called “aide-memoires”, which focus on 1) respiratory and hand hygiene, 2) personal protective equipment, and 3) environmental cleaning, waste and linen management, all elements of standard, droplet/contact and airborne precautions.
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Data for Action March 2022, Issue 5
OM Bangladesh Needs and Population Monitoring (NPM) is part of the IOM’s global Displacement Tracking Matrix (DTM) programming. DTM is IOM’s information management system to track and monitor population displacement during crises. Composed of several tools and processes, DTM regularly captures a
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nd analyzes multilayered data and disseminates information products that us help better understand the evolving needs of the displaced population, whether on site or en route.
As of Janurary 2018, NPM Bangladesh has two ongoing regular data collection and information management components, the NPM Site Assessment (SA) and the NPM Flow Monitoring (FM). These are designed to complement each other to provide a complete coverage of popuation movements over time.
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UNICEF’s support for data collection: the Multiple Indicator Cluster Surveys (MICS)
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The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the SDG ... indicators are currently produced and readily available at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs. more
The report shows that the National Statistical System of Myanmar has some work ahead of it in terms of preparing for the monitoring of the SDG indicators. Only 44 of the SDG ... indicators are currently produced and readily available at the national level. However, the good news is that many (97) of the missing indicators can be computed from existing data sources – often with little effort - and don’t require any additional data collection. The report concludes that Myanmar is in a decent position to start monitoring the SDGs, and should start as soon as possible in putting its existing data to full use for the SDGs. more
The Socio-Economic Impact of People Living with HIV at the Household Level in Myanmar
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The Republic of the Union of Myanmar, Ministry of Health and Sports; UNDP
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The study collected data on the impact of HIV-related diseases on income, revenues, economic dependency, consumption, education, health, food security, stigma, discrimination, quality of life, and migration. The study also assessed people living wit
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h chronic diseases in order to compare the impact of living with HIV/AIDS with the impact of living with a chronic disease.
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV. more
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV. more