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Publication Years
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Toolboxes
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DesInventar as a Disaster Information Management System: DesInventar is a conceptual and methodological tool for the generation of National Disaster Inventories and the construction of databases of damage, losses and in general the effects of disasters. The Disaster Information Management System is
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a tool that helps to analyze the disaster trends and their impacts in a systematic manner. With increased understanding of the disaster trends and their impacts, better prevention, mitigation and preparedness measures can be planned to reduce the impact of disasters on the communities.
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The Environmental Data Explorer is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. I
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ts online database holds more than 500 different variables, as national, subregional, regional and global statistics or as geospatial data sets (maps), covering themes like Freshwater, Population, Forests, Emissions, Climate, Disasters, Health and GDP. Display them on-the-fly as maps, graphs, data tables or download the data in different formats.
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The 17 Sustainable Development Goals adopted by world leaders in September 2015 set out a vision for a world free of poverty, hunger, disease and want. SDG 3, “Good Health and Well-Being,” calls on countries to ensure healthy lives and promote well-being for all at all ages.
Gaps in data covering refugees, asylum seekers, migrants and internally displaced populations are endangering the lives and wellbeing of millions of children on the move, warned five UN and partner agencies today. In 'A call to action: Protecting ch
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ildren on the move starts with better data', UNICEF, UNHCR, IOM, Eurostat and OECD together show how crucial data are to understanding the patterns of global migration and developing policies to support vulnerable groups like children.
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Our World in Data: Natural Catastrophes
University of Oxford
(2018)
CC
Our World in Data is an online publication that shows how living conditions are changing. The aim is to give a global overview and to show changes over the very long run, so that we can see where we are coming from and where we are today. We cover a
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wide range of topics across many academic disciplines: Trends in health, food provision, the growth and distribution of incomes, violence, rights, wars, culture, energy use, education, and environmental changes are empirically analyzed and visualized in this web publication. For each topic the quality of the data is discussed and, by pointing the visitor to the sources, this website is also a database of databases. Covering all of these aspects in one resource makes it possible to understand how the observed long-run trends are interlinked.
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A large meta-analysis of observational studies that provided the basis for the recent makeover of global recommendations for multidrug-resistant tuberculosis (MDR-TB) treatment shows that newer and repurposed drugs produced better outcomes and fewer deaths than older treatments.
The meta-analysis
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of 50 studies involving 12,000 patients from 25 countries, published yesterday in The Lancet, found that bedaquiline, linezolid, levofloxacin, and moxifloxacin were associated with greater treatment success and reduced mortality compared with the previously recommended first-line treatments, while clofazimine and carbapenem antibiotics were associated with significantly improved treatment outcomes (but not reduced mortality)
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Accessed November 2018. Datasheet on WHO global data on blindness.
Our World in Data
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Our World in Data is a non-profit website that brings together the data and research on the powerful, long-run trends reshaping our world: Through interactive
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data visualizations we show how the world has changed; by summarizing the scientific literature we explain why.
Accessed 26 February 2019.
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World Bank Open Data: Free and open access to global development data Also available in Spanish, French, Arabic and Chinese
Accessed 26 February 2019.
Social science and behavioural data compilation, DRC Ebola outbreak, June - August 2019
Bardosh, K.; T. Jones and J. Bedford
Social Science in Humanitarian Action: A Communication for Development Platform
(2019)
C1
This rapid compilation of data analyses provides a ‘stock-take’ of social science and behavioural data related to the on-going outbreak of Ebola in North Kivu, South Kivu and Ituri provinces. Ba
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sed on data gathered and analysed by organisations working in the Ebola response and in the region more broadly, it explores convergences and divergences between datasets and, when possible, differences by geographic area, demographic group, time period and other relevant variables. Data sources are listed at the end of the document.
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Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Sustainable Development Goals (SDGs). These indicators may help to monitor SDGs, but they are not always the official indicators for SDG monitoring.
Accessed 6th May 2019
Mortality and global health estimates.
Accessed August 6, 2019
Interactive website: Data by topic; country profiles, microdata
