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The global inverse care law: a distorted map of blindness
  1. Andrew Bastawrous1,
  2. Benjamin D Hennig2
  1. 1International Centre for Eye Health, Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
  2. 2Department of Geography, University of Sheffield, Sheffield, UK
  1. Correspondence to Andrew Bastawrous, MRC Clinical Research Fellow in International Eye Health, International Centre for Eye Health, Clinical Research Department, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK; andrew.bastawrous{at}

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Statistical analysis can be used to interpret and give meaning to data, however, the ability to interpret large quantities of data and it's resulting statistical reporting is not always straightforward. Graphical representations such as graphs and maps are a way of translating or converting data into a visual interpretation.

Commonly used world maps are imperfect and contain distortions to allow a spherical reality to be represented in 2-dimensions. This distortion can be manipulated to produce a world map that gives each defined area (country or region) a size proportional to its population.1

Cartograms are used to effectively map socioeconomic data and can be effective means of …

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  • Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. AB is in receipt of a joint MRC and Fight for Sight Clinical Research Fellowship and funding from the International Glaucoma Association (IGA) and the British Council for the Prevention of Blindness (BCPB).

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.