Community Health Map: A geospatial and multivariate data visualization tool for public health datasets

Sopan, Awalin; Noh, Angela Song-Ie; Karol, Sohit; Rosenfeld, P. L.; Lee, Ginnah; Shneiderman, Ben

doi:10.1016/j.giq.2011.10.002

Cited by 40 publications

(18 citation statements)

References 14 publications

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“…Web-based systems, or systems having some web accessible components, were the delivery platform of choice in many cases [28, 29, 46, 70, 72, 74, 77-79, 81-86]. These were often intended to permit distributed access by public health staff, reduce software implementation costs, or expose public health information for public dissemination.…”

Section: Resultsmentioning

confidence: 99%

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Visualization and analytics tools for infectious disease epidemiology: A systematic review

Carroll

Detwiler

et al. 2014

Journal of Biomedical Informatics

203

171

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Background A myriad of new tools and algorithms have been developed to help public health professionals analyze and visualize the complex data used in infectious disease control. To better understand approaches to meet these users' information needs, we conducted a systematic literature review focused on the landscape of infectious disease visualization tools for public health professionals, with a special emphasis on geographic information systems (GIS), molecular epidemiology, and social network analysis. The objectives of this review are to: (1) Identify public health user needs and preferences for infectious disease information visualization tools; (2) Identify existing infectious disease information visualization tools and characterize their architecture and features; (3) Identify commonalities among approaches applied to different data types; and (4) Describe tool usability evaluation efforts and barriers to the adoption of such tools. Methods We identified articles published in English from January 1, 1980 to June 30, 2013 from five bibliographic databases. Articles with a primary focus on infectious disease visualization tools, needs of public health users, or usability of information visualizations were included in the review. Results A total of 88 articles met our inclusion criteria. Users were found to have diverse needs, preferences and uses for infectious disease visualization tools, and the existing tools are correspondingly diverse. The architecture of the tools was inconsistently described, and few tools in the review discussed the incorporation of usability studies or plans for dissemination. Many studies identified concerns regarding data sharing, confidentiality and quality. Existing tools offer a range of features and functions that allow users to explore, analyze, and visualize their data, but the tools are often for siloed applications. Commonly cited barriers to widespread adoption included lack of organizational support, access issues, and misconceptions about tool use. Discussion and Conclusion As the volume and complexity of infectious disease data increases, public health professionals must synthesize highly disparate data to facilitate communication with the public and inform decisions regarding measures to protect the public's health. Our review identified several themes: consideration of users' needs, preferences, and computer literacy; integration of tools into routine workflow; complications associated with understanding and use of visualizations; and the role of user trust and organizational support in the adoption of these tools. Interoperability also emerged as a prominent theme, highlighting challenges associated with the increasingly collaborative and interdisciplinary nature of infectious disease control and prevention. Future work should address methods for representing uncertainty and missing data to avoid misleading users as well as strategies to minimize cognitive overload.

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Section: Resultsmentioning

confidence: 99%

“…Although privacy of health data was mentioned as a concern in many studies, only one article specifically discussed implementation of security protocols [84]. Others discussed methods for aggregating or otherwise de-identifying data [74, 79]. …”

Section: Resultsmentioning

confidence: 99%

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Carroll

Detwiler

et al. 2014

Journal of Biomedical Informatics

203

171

View full text Add to dashboard Cite

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“…Weave is a web-based analysis and visualization environment that has been used to facilitate the exploration of breast and ovarian cancer data [30]. Community Health Map allows users to explore and compare the healthcare indicators across counties in the United States [31]. Zhao et al [32] integrate ringmaps into the InstantAtlas software environment to explore complex socio-spatial patterns of cardiovascular disease in New Zealand.…”

Section: Visualizations For Health Literacymentioning

confidence: 99%

Health Literacy for the General Public: Making a Case for Non-Trivial Visualizations

Ola

Sedig

2017

Informatics

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Health literacy is concerned with the degree to which individuals can access and understand information to make health decisions. The multifaceted nature of health data presents challenges for individuals seeking to improve their understanding of health. To aid health literacy efforts, we have developed HealthConfection, a visualization tool that uses elaborate and non-typical interactive visualizations to represent health data. In this paper, we report on two studies we conducted with HealthConfection. In the first study, we investigate whether individuals can learn to use non-typical visualizations, and the impact that short, minimalist video tutorials will have on participants' understanding of the visualizations. The findings from this study suggest that individuals can learn to use non-typical visualizations and that participants who used the tutorials achieved higher scores than those without tutorials. This work indicates that non-typical visualizations are a viable option for conveying complex datasets. Based on this foundation, we conducted a second study to investigate if non-typical visualizations can improve health literacy for the general public. Results show that participants who used HealthConfection achieved higher scores than those who did not interact with the tool. Our work suggests that non-typical visualizations can be used to improve health literacy.

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“…In the work of Sopana [5], the authors have developed a geospatial health map application which used the multivariable space for the analysis of health data. It helps the public health decision makers to take preventive actions by visualizing the community health map and relative characterization of variables.…”

Section: Related Workmentioning

confidence: 99%

A mobile volunteered geographic information management platform for rural health informatics

Dasgupta

Ghosh

Mitra

2015

2015 17th International Conference on E-Health Networking, Application &Amp; Services (HealthCom)

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The causes of the many communicable diseases have some link with the geographical locations. In the developing countries, the patient information are not often collected systemically due to lack of technological support and scarcity of health professionals. As a result, the actual causes of different community diseases are not properly investigated and it delays to take preventive actions, especially in the rural areas. In this work, a service oriented framework has been proposed for collecting the health information of the patients along with their actual geo-locations to generate the health map of the region which may help in adopting mitigation measures. A mobile application has been developed for collecting these information by the health workers or the health volunteers. The application can be tuned to provide suggestive primary treatment of the disease. The collected volunteered disease information can be analyzed with respect to that geospatial information according to guidelines of the health experts and the disease map can produced on-the-fly. The disease map helps to predict the spreading trend of a disease in the context of geospatial attributes. This may facilitate, the public health decision makers to take preventive actions to mitigate the spread of the diseases.

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Community Health Map: A geospatial and multivariate data visualization tool for public health datasets

Cited by 40 publications

References 14 publications

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Health Literacy for the General Public: Making a Case for Non-Trivial Visualizations

A mobile volunteered geographic information management platform for rural health informatics

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