You are here

Article Text

Article menu
Download PDFPDF
PostScript
Letter
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}lshtm.ac.uk

https://doi.org/10.1136/bjophthalmol-2012-302088

Statistics from Altmetric.com

    Request Permissions

    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

    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 …

    View Full Text