Meat Eaters

Who are the world’s biggest meat consumers?

Map of excess meat consumption in the world
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Multiple Dimensions of Poverty


Poverty and global development are not only on the agenda at the World Economic Forum in Davos. But despite positive trends being observed in the aftermath of the Millennium Development Goals poverty still persists.
As a successor to the Millennium Development Goals (MDG), the United Nations announced a set of 17 new Sustainable Development Goals (SDG) relating to international development. Still on top of the agenda remains the issue of poverty. Here the new goal is to ‘end poverty in all its forms everywhere’ by 2030, meaning to ‘eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.90 a day’ and to ‘reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions’.
There are trends in past decades that indicate major improvements in tackling the problem of global poverty. In relative terms, the original MDG goal of halving extreme poverty between 1990 and 2015 has been met. In developing regions, people in extreme poverty now make up 14 per cent of the population there, while most recent figures and estimates suggest that still over two billion people globally live on less than $2 a day, a measure used to measure ‘moderate’ poverty. This figure is also used as a base for the main cartogram below. The map modifies the size of each country according to the total number of people there who live on up to $2 a day according to the most recent available estimates. In addition, the colour shading uses information from the 2015 Multidimensional Poverty Index (MPI) to highlight the percentage of the population that is multi-dimensionally poor.

Mapping World Religions: Christianity, Islam, Hinduism
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The global inverse care law: a distorted map of blindness

“Eye care for all” is the motto of this year’s World Sight Day. But there are stark global inequalities in access to eye care. In 1971, Hart described the, ‘Inverse Care Law’ as the availability of good medical care varying inversely with the need for it in the population served. Hart was describing the situation in the National Health Service in Great Britain at the time in which he practiced as both a General Practitioner and an epidemiologist.
Two recently published articles demonstrate the ‘Inverse Care Law’ on a global level. The prevalence of blindness worldwide in 2010 was reported by the WHO and verified that low- and middle-income countries, as expected, have the highest prevalence of blindness and visual impairment. In stark contrast to this, a more recent report describes the,“Number of ophthalmologists in training and practice worldwide” providing global data for the number of ophthalmologists per county and demonstrates that despite a growing number in practice the gap between need and supply is widening.
The situation is also magnified within individual countries of high, middle and low-income. For example, in France, an inverse correlation was found between the number of ophthalmologists and the prevalence of low vision for subjects of similar age and socio-professional category and another example is in Kenya where of the 86 practicing ophthalmologists, 43 are based in Nairobi (personal correspondence). That equates to 50% of the countries ophthalmologists serving 8% of an already underserved population.
We have developed two cartograms to depict the data from these two papers using Gastner & Newman diffusion-based method. This allowed us to create density-equalised maps based on the absolute values provided in the papers. In the maps, each of the reference areas (WHO regions and countries) is resized according to these values. Larger areas represent higher numbers and smaller areas proportionally smaller data values:

Cartograms of Blindness and Opthmamologists
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Global Mobile Phone Users: A Decade of Changes

A global shift in predominance of mobile/cell phone ownership in the last decade has seen low-income countries reach near ubiquitous levels. Using 11 years of compiled census data from each country worldwide, Andrew Bastawrous, Iain Livingstone and I analysed the global picture of cell phone ownership and used density-equalizing cartograms to depict this change. This cartogram animation shows a decade of change in the use of mobile phones:

Cartogram animation of global mobile phone subscriptions between 2000 and 2011
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Ebola epidemic (update)

As stated by the Centers for Disease Control and Prevention (CDC), “the 2014 Ebola epidemic is the largest in history, affecting multiple countries in West Africa”. Since the first map series published here in August, an additional 5367 cases and 2294 deaths have occurred, resulting in a total case count of 7492 and a total number of deaths of 3439 for the current outbreak according to the most recent updated published on October, 3rd. These significant changes change the shapes of the cartograms published six weeks ago, not least because the current outbreak exceeds all previous Ebola cases counted since 1977, as the following maps show using the most recent data:

Cartogram visualisations of Ebola virus cases
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Ebola Outbreak

The recent outbreak of Ebola in West Africa has not been brought under control since it became part of international attention early 2014. As of 15 August the suspected and confirmed cases added up to 2127, leading to 1145 deaths in the region (source: Centers for Disease Control and Prevention).
The outbreak is not only unusual in its absolute numbers of cases and deaths (before the current outbreak a total of 2387 cases and 1590 deaths have been recorded by the World Health Organization since the virus was discovered in 1976), but also in its geographical patterns: While WHO obervations in the past mainly occurred in the tropical regions of Sub-Saharan Africa (affecting mainly Congo, DR Congo, Gabon, Sudan and Uganda), the current and by far largest outbreak is observed in the previously unaffected countries of Sierra Leone, Guinea, Liberia and (less servere) Nigeria). The following map shows not only that Ebola is restricted to Africa, but to a very small part of the continent. It shows the countries of the world resized in a Worldmapper-style cartogram according to the total number of cases in each country in 2014 (to date):Map of the 2014 Ebola Outbreak in West Africa - total cases as of August, 14thTo put the outbreak into further context, the following maps show the death counts of all Ebola outbreaks to date, as well as two split maps of deaths in 2014 and pre-2014: Continue reading