A Survey of Visual Analytics for Public Health

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dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:46Z
dc.date.available2020-05-22T12:24:46Z
dc.date.issued2020
dc.description.abstractWe describe visual analytics solutions aiming to support public health professionals, and thus, preventive measures. Prevention aims at advocating behaviour and policy changes likely to improve human health. Public health strives to limit the outbreak of acute diseases as well as the reduction of chronic diseases and injuries. For this purpose, data are collected to identify trends in human health, to derive hypotheses, e.g. related to risk factors, and to get insights in the data and the underlying phenomena. Most public health data have a temporal character. Moreover, the spatial character, e.g. spatial clustering of diseases, needs to be considered for decision‐making. Visual analytics techniques involve (subspace) clustering, interaction techniques to identify relevant subpopulations, e.g. being particularly vulnerable to diseases, imputation of missing values, visual queries as well as visualization and interaction techniques for spatio‐temporal data. We describe requirements, tasks and visual analytics techniques that are widely used in public health before going into detail with respect to applications. These include outbreak surveillance and epidemiology research, e.g. cancer epidemiology. We classify the solutions based on the visual analytics techniques employed. We also discuss gaps in the current state of the art and resulting research opportunities in a research agenda to advance visual analytics support in public health.en_US
dc.description.documenttypestar
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13891
dc.identifier.issn1467-8659
dc.identifier.pages543-580
dc.identifier.urihttps://doi.org/10.1111/cgf.13891
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13891
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectmedical imaging
dc.subjectvisualization
dc.subjectvisual analytics
dc.subjectvisualization
dc.subject• Computer Applications → Life and Medical Sciences
dc.titleA Survey of Visual Analytics for Public Healthen_US
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