Visual communication of public health data: a scoping review
IntroductionVisual communications (VC) play a crucial role in effectively conveying public health data to diverse audiences, including policymakers, healthcare professionals, and the general public. Although the U.S. government invests heavily in health data and data accessibility, health data are n...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Digital Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1555231/full |
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| author | Michael Arthur Ofori Stella Lartey Polina Durneva Niharika Jha Nidhi Mittal Shongkour Roy Zebunnesa Zeba Stella Chirwa Nichole Saulsberry-Scarboro Michelle Taylor Ashish Joshi |
| author_facet | Michael Arthur Ofori Stella Lartey Polina Durneva Niharika Jha Nidhi Mittal Shongkour Roy Zebunnesa Zeba Stella Chirwa Nichole Saulsberry-Scarboro Michelle Taylor Ashish Joshi |
| author_sort | Michael Arthur Ofori |
| collection | DOAJ |
| description | IntroductionVisual communications (VC) play a crucial role in effectively conveying public health data to diverse audiences, including policymakers, healthcare professionals, and the general public. Although the U.S. government invests heavily in health data and data accessibility, health data are not entirely accessible or easily understood. This can be attributed to data sharing and visualization challenges. VC challenges have created public health information gaps which are compounded in emergencies such as the COVID-19 pandemic, potentially impacting poor health outcomes and increasing health inequities.ObjectiveTo examine visualization tools and techniques effective for public health visual data communication.MethodsA scoping review was conducted to summarize the available evidence related to visualization techniques and tools for public health visual data communication as well as related principles and best practices. Original peer-reviewed articles published in English that involve visualization, user-centered design of visual public health applications/interfaces, visual analytics, infographics, or dashboards from PubMed database from 2020 to 2024 were included. Also, review articles, commentaries, editorials, posters, systematic and scoping articles were excluded from this review. In all, twenty-eight (28) studies were included.ResultsThere were 25 different visualization techniques identified which included charts and graphs (e.g., bar charts, line charts, pie charts, bubble charts, box plots, scatter plots), maps (e.g., choropleth maps, hotspot maps, and heatmaps), and specialized visualizations (e.g., sunburst diagrams, alluvial plots, upset plots, circos). These visuals were displayed employing different programming and statistical tools and libraries like R, Python, Power BI, Tableau, ArcGIS, and custom web-based applications. The visuals measured different types of data accessibility, pattern and trends identification, association and relationships of univariate and bivariate data, as well as exploring multidimensional forms of health data. The visualizations were applied in different public health domains, such as HIV prevention and care, public health communication, interventions, surveillance, policy measures and decision-making, and improving health education.ConclusionDashboards and web-based tools combined with static visualizations like charts, maps, or specialized plots can help with data exploration, pattern recognition, and dissemination of health information. Effective communication of public health data promotes informed decision-making, creates awareness, and leads to improved and better health outcomes. |
| format | Article |
| id | doaj-art-c0865ddb63ad4b72a4aee22c9e7e1fdf |
| institution | OA Journals |
| issn | 2673-253X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj-art-c0865ddb63ad4b72a4aee22c9e7e1fdf2025-08-20T02:24:55ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2025-04-01710.3389/fdgth.2025.15552311555231Visual communication of public health data: a scoping reviewMichael Arthur Ofori0Stella Lartey1Polina Durneva2Niharika Jha3Nidhi Mittal4Shongkour Roy5Zebunnesa Zeba6Stella Chirwa7Nichole Saulsberry-Scarboro8Michelle Taylor9Ashish Joshi10School of Public Health, University of Memphis, Memphis, TN, United StatesDepartment of Public Health Sciences, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, United StatesDepartment of Management Information Systems, Fogelman College of Business & Economics, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesShelby County Health Department, Memphis, TN, United StatesSchool of Public Health, University of Memphis, Memphis, TN, United StatesIntroductionVisual communications (VC) play a crucial role in effectively conveying public health data to diverse audiences, including policymakers, healthcare professionals, and the general public. Although the U.S. government invests heavily in health data and data accessibility, health data are not entirely accessible or easily understood. This can be attributed to data sharing and visualization challenges. VC challenges have created public health information gaps which are compounded in emergencies such as the COVID-19 pandemic, potentially impacting poor health outcomes and increasing health inequities.ObjectiveTo examine visualization tools and techniques effective for public health visual data communication.MethodsA scoping review was conducted to summarize the available evidence related to visualization techniques and tools for public health visual data communication as well as related principles and best practices. Original peer-reviewed articles published in English that involve visualization, user-centered design of visual public health applications/interfaces, visual analytics, infographics, or dashboards from PubMed database from 2020 to 2024 were included. Also, review articles, commentaries, editorials, posters, systematic and scoping articles were excluded from this review. In all, twenty-eight (28) studies were included.ResultsThere were 25 different visualization techniques identified which included charts and graphs (e.g., bar charts, line charts, pie charts, bubble charts, box plots, scatter plots), maps (e.g., choropleth maps, hotspot maps, and heatmaps), and specialized visualizations (e.g., sunburst diagrams, alluvial plots, upset plots, circos). These visuals were displayed employing different programming and statistical tools and libraries like R, Python, Power BI, Tableau, ArcGIS, and custom web-based applications. The visuals measured different types of data accessibility, pattern and trends identification, association and relationships of univariate and bivariate data, as well as exploring multidimensional forms of health data. The visualizations were applied in different public health domains, such as HIV prevention and care, public health communication, interventions, surveillance, policy measures and decision-making, and improving health education.ConclusionDashboards and web-based tools combined with static visualizations like charts, maps, or specialized plots can help with data exploration, pattern recognition, and dissemination of health information. Effective communication of public health data promotes informed decision-making, creates awareness, and leads to improved and better health outcomes.https://www.frontiersin.org/articles/10.3389/fdgth.2025.1555231/fullvisual communicationinteractive dashboardsdata visualizationhealth datahealth communication |
| spellingShingle | Michael Arthur Ofori Stella Lartey Polina Durneva Niharika Jha Nidhi Mittal Shongkour Roy Zebunnesa Zeba Stella Chirwa Nichole Saulsberry-Scarboro Michelle Taylor Ashish Joshi Visual communication of public health data: a scoping review Frontiers in Digital Health visual communication interactive dashboards data visualization health data health communication |
| title | Visual communication of public health data: a scoping review |
| title_full | Visual communication of public health data: a scoping review |
| title_fullStr | Visual communication of public health data: a scoping review |
| title_full_unstemmed | Visual communication of public health data: a scoping review |
| title_short | Visual communication of public health data: a scoping review |
| title_sort | visual communication of public health data a scoping review |
| topic | visual communication interactive dashboards data visualization health data health communication |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1555231/full |
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