Data visualisation in surveillance for injury prevention and control: conceptual bases and case studies
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Data visualisation in surveillance for injury prevention and control: conceptual bases and case studies

Filetype[PDF-1.67 MB]


English
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Details:

  • Alternative Title:
    Inj Prev
  • Personal Author:
  • Description:
    Background

    The complexity of current injury-related health issues demands the usage of diverse and massive data sets for comprehensive analyses, and application of novel methods to communicate data effectively to the public health community, decision-makers and the public. Recent advances in information visualisation, availability of new visual analytic methods and tools, and progress on information technology provide an opportunity for shaping the next generation of injury surveillance.

    Objective

    To introduce data visualisation conceptual bases, and propose a visual analytic and visualisation platform in public health surveillance for injury prevention and control.

    Methods

    The paper introduces data visualisation conceptual bases, describes a visual analytic and visualisation platform, and presents two real-world case studies illustrating their application in public health surveillance for injury prevention and control.

    Results

    Application of visual analytic and visualisation platform is presented as solution for improved access to heterogeneous data sources, enhance data exploration and analysis, communicate data effectively, and support decision-making.

    Conclusions

    Applications of data visualisation concepts and visual analytic platform could play a key role to shape the next generation of injury surveillance. Visual analytic and visualisation platform could improve data use, the analytic capacity, and ability to effectively communicate findings and key messages. The public health surveillance community is encouraged to identify opportunities to develop and expand its use in injury prevention and control.

  • Subjects:
  • Source:
    Inj Prev. 22(Suppl 1):i27-i33
  • Pubmed ID:
    26728006
  • Pubmed Central ID:
    PMC4833094
  • Document Type:
    Journal Article
  • Funding:
    CC999999/Intramural CDC HHSUnited States/
  • Volume:
    22
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

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