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伤害预防与控制监测中的数据可视化：概念基础与案例研究

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

作者信息

Martinez Ramon, Ordunez Pedro, Soliz Patricia N, Ballesteros Michael F

机构信息

Department of Noncommunicable Diseases and Mental Health, Pan American Health Organization (PAHO), Washington DC, USA.

Unit of Health Information and Analysis, Pan American Health Organization (PAHO), Washington DC, USA.

出版信息

Inj Prev. 2016 Apr;22 Suppl 1(Suppl 1):i27-33. doi: 10.1136/injuryprev-2015-041812. Epub 2016 Jan 4.

DOI:10.1136/injuryprev-2015-041812
PMID:26728006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4833094/
Abstract

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.

摘要

背景

当前与伤害相关的健康问题十分复杂，需要使用多样且大量的数据集进行全面分析，并应用新方法将数据有效地传达给公共卫生界、决策者和公众。信息可视化的最新进展、新视觉分析方法和工具的可用性以及信息技术的进步为塑造下一代伤害监测提供了契机。

目的

介绍数据可视化的概念基础，并提出一个用于伤害预防与控制的公共卫生监测中的视觉分析与可视化平台。

方法

本文介绍了数据可视化的概念基础，描述了一个视觉分析与可视化平台，并展示了两个实际案例研究，说明其在伤害预防与控制的公共卫生监测中的应用。

结果

视觉分析与可视化平台的应用被视为一种解决方案，可改善对异构数据源的访问，增强数据探索与分析，有效传达数据，并支持决策制定。

结论

数据可视化概念和视觉分析平台的应用对于塑造下一代伤害监测可能发挥关键作用。视觉分析与可视化平台可改善数据利用、分析能力以及有效传达研究结果和关键信息的能力。鼓励公共卫生监测界寻找机会，在伤害预防与控制中开发并扩大其应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/cbe34656e2cc/injuryprev-2015-041812f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/065786e52fbe/injuryprev-2015-041812f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/6fd38792e4ab/injuryprev-2015-041812f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/583a8a1bb6af/injuryprev-2015-041812f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/ceb4a6893586/injuryprev-2015-041812f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/cbe34656e2cc/injuryprev-2015-041812f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/065786e52fbe/injuryprev-2015-041812f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/6fd38792e4ab/injuryprev-2015-041812f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/583a8a1bb6af/injuryprev-2015-041812f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/ceb4a6893586/injuryprev-2015-041812f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f08/4853527/cbe34656e2cc/injuryprev-2015-041812f05.jpg

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