Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-12-18
pubmed:abstractText
Widespread availability of geographic information systems software has facilitated the use of disease mapping in academia, government and private sector. Maps that display the address of affected patients are often exchanged in public forums, and published in peer-reviewed journal articles. As previously reported, a search of figure legends in five major medical journals found 19 articles from 1994-2004 that identify over 19,000 patient addresses. In this report, a method is presented to evaluate whether patient privacy is being breached in the publication of low-resolution disease maps.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-10209808, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-11166039, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-11441740, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-12613353, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-15246040, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-16098819, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-16357353, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-16458786, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-16688146, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-16779192, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-17018828, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-17032448, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-17050904, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-17118204, http://linkedlifedata.com/resource/pubmed/commentcorrection/17156451-8888488
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1476-072X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
56
pubmed:dateRevised
2010-9-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
An unsupervised classification method for inferring original case locations from low-resolution disease maps.
pubmed:affiliation
Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, 1 Autumn St, Boston, MA, USA. john_brownstein@harvard.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural