Global mapping of infectious disease.
File(s)Global mapping of infectious disease.pdf (836.69 KB)
Published version
Author(s)
Type
Journal Article
Abstract
The primary aim of this review was to evaluate the state of knowledge of the geographical distribution of all infectious diseases of clinical significance to humans. A systematic review was conducted to enumerate cartographic progress, with respect to the data available for mapping and the methods currently applied. The results helped define the minimum information requirements for mapping infectious disease occurrence, and a quantitative framework for assessing the mapping opportunities for all infectious diseases. This revealed that of 355 infectious diseases identified, 174 (49%) have a strong rationale for mapping and of these only 7 (4%) had been comprehensively mapped. A variety of ambitions, such as the quantification of the global burden of infectious disease, international biosurveillance, assessing the likelihood of infectious disease outbreaks and exploring the propensity for infectious disease evolution and emergence, are limited by these omissions. An overview of the factors hindering progress in disease cartography is provided. It is argued that rapid improvement in the landscape of infectious diseases mapping can be made by embracing non-conventional data sources, automation of geo-positioning and mapping procedures enabled by machine learning and information technology, respectively, in addition to harnessing labour of the volunteer 'cognitive surplus' through crowdsourcing.
Date Issued
2013-02-04
Date Acceptance
2013-02-04
Citation
Philosophical Transactions B: Biological Sciences, 2013, 368 (1614)
ISSN
0962-8436
Publisher
Royal Society, The
Journal / Book Title
Philosophical Transactions B: Biological Sciences
Volume
368
Issue
1614
Copyright Statement
© 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ , which permits unrestricted use, provided the original author and source are credited.
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/23382431
PII: rstb.2012.0250
Subjects
Biosurveillance
Communicable Diseases
Computational Biology
Crowdsourcing
Geographic Mapping
Global Health
Humans
World Health
Evolutionary Biology
06 Biological Sciences
11 Medical And Health Sciences
Publication Status
Published
Coverage Spatial
England