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. 2011 Feb 15;6(2):e14683.
doi: 10.1371/journal.pone.0014683.

Visual analytics for epidemiologists: understanding the interactions between age, time, and disease with multi-panel graphs

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Visual analytics for epidemiologists: understanding the interactions between age, time, and disease with multi-panel graphs

Kenneth K H Chui et al. PLoS One. .

Abstract

Background: 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 distribution of an outcome by time and age simultaneously.

Methodology/principal findings: We introduce and demonstrate multi-panel (MP) graphs applied in four different settings: U.S. national influenza-associated and salmonellosis-associated hospitalizations among the older adult population (≥65 years old), 1991-2004; confirmed salmonellosis cases reported to the Massachusetts Department of Public Health for the general population, 2004-2005; and asthma-associated hospital visits for children aged 0-18 at Milwaukee Children's Hospital of Wisconsin, 1997-2006. We illustrate trends and anomalies that otherwise would be obscured by traditional visualization techniques such as case pyramids and time-series plots.

Conclusion/significance: MP graphs can weave together two vital dynamics--temporality and demographics--that play important roles in the distribution and spread of diseases, making these graphs a powerful tool for public health and disease biosurveillance efforts.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Typical patterns observed in image plots used to study the association between age, time, and the disease of interest.
Figure 2
Figure 2. Multi-panel graph of influenza in the United States older adult population (aged 65 and over) 1991–2004.
Lower left: outcome pyramid; upper right: time-series plot; lower right: image plot.
Figure 3
Figure 3. Multi-panel graph of salmonellosis in the United States older adult population (aged 65 and over) 1991–2004.
Lower left: outcome pyramid; upper right: time-series plot; lower right: image plot.
Figure 4
Figure 4. Multi-panel graph of salmonellosis in the general Massachusetts population 2004–2005.
Lower left: outcome pyramid; upper right: time-series plot; lower right: image plot.
Figure 5
Figure 5. Multi-panel graph of asthma in children aged 0–18 in Milwaukee 1997–2006.
Lower left: outcome pyramid; upper right: time-series plot; lower right: image plot.

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