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Visual Analytics for Epidemiologists: Understanding the Interactions Between Age, Time, and Disease...

Visual Analytics for Epidemiologists: Understanding the Interactions Between Age, Time, and Disease...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1292224253

Visual Analytics for Epidemiologists: Understanding the Interactions Between Age, Time, and Disease with Multi-Panel Graphs

About this item

Full title

Visual Analytics for Epidemiologists: Understanding the Interactions Between Age, Time, and Disease with Multi-Panel Graphs

Publisher

United States: Public Library of Science

Journal title

PloS one, 2011-02, Vol.6 (2), p.e14683-e14683

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Visual analytics, a technique aiding data analysis and decision making, is a novel tool that allows for a better understanding of the context of complex systems. Public health professionals can greatly benefit from this technique since context is integral in disease monitoring and biosurveillance. We propose a graphical tool that can reveal the dis...

Alternative Titles

Full title

Visual Analytics for Epidemiologists: Understanding the Interactions Between Age, Time, and Disease with Multi-Panel Graphs

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1292224253

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1292224253

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0014683

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