The COVID-19 Dashboard for Real-time Tracking of the Pandemic

Gardner, Lauren

doi:10.1001/jama.2022.15590

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…The 'COVID-19 Dashboard' 2 provided by Johns Hopkins University & Medicine was unique and filled a void in international public health systems. It impacted the way the public accessed real-time health information (Gardner 2022). Similar data dashboards were widely replicated by governments, enterprises, and media outlets, and these dashboards are expected to change how society improves coordinated responses to future pandemics (Dong, Du, & Gardner 2020;Dong et al 2022).…”

Section: Literature Reviewmentioning

confidence: 97%

Data Science in a Pandemic

Mathaisel

2023

Data Science Journal

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Data Science has the potential to provide humanity with critical insight into the massive data being collected during a pandemic. The COVID-19 pandemic presented that opportunity, and Data Science supported an international audience promptly, reliably, effectively, and frequently during that difficult time. The most significant contributions were data visualizations and data dashboards, however, other tools, such as predictive and prescriptive analytics, were equally critical to the effort. The urgency at the start of the pandemic was to quickly communicate information to citizens, governments, and institutions. The change in modality from traditional statistical metrics and tables to data visualizations was extremely significant and helpful to so many. This paper reviews these contributions by demonstrating how the COVID-19 story unfolded through author-generated data visualizations and dashboards, and by providing the community with open-source access to the scripts that generated these visualizations. The open-source access to the (R language) scripts reflects this article's novelty in the literature. Using publicly available datasets from multiple sources, and employing R toolkits, the author validates the role that Data Science can play in a pandemic, and that can be implemented by anyone with some basic knowledge of scripting languages, like R. The intent is to provide these valuable tools to the community and to demonstrate their effectiveness in the likely event when there is another crisis.

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Section: Literature Reviewmentioning

confidence: 97%

Data Science in a Pandemic

Mathaisel

2023

Data Science Journal

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“…The need for real-time visualization of disease trends has been heightened during the COVID-19 pandemic and the 2022 monkeypox outbreak. 10 , 12 , 23 , 29 The designed reporting systems relied on the delivery of accurate and accessible public health data within an expected time frame. As new data were collected, the outcomes were automatically analyzed and integrated, offering near-real-time insights.…”

mentioning

confidence: 99%

“…Consequently, modeling and analysis of these data provide informative data insights, improve surveillance, facilitate informed decision-making, and enable evidence-based public health policy to reduce risks and save lives. 10 , 12 , 23 , 29 , 30…”

mentioning

confidence: 99%

Development of interactive dashboards for monitoring endemic animal pathogens in Ontario, Canada: Ontario interactive animal pathogen dashboards

Petukhova,

Spinato,

Rossi

et al. 2023

J VET Diagn Invest

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The advancement of web-based technologies makes it possible to build user interfaces or web pages that present and summarize complex data in easy-to-read graphical formats that emphasize key information. Taking advantage of this technologic progress, we addressed the need for real-time visualizations of trends for major pathogens in the largest livestock industries in Ontario: poultry, swine, and cattle. These visualizations were built using test data from the laboratory information management system of the Animal Health Laboratory at the University of Guelph, a large veterinary diagnostic laboratory in Ontario. The data were processed using R software and used to construct interactive and dynamic visualizations using Tableau Desktop v.2021.4 (Tableau Software). We designed 12 dashboards: in chickens—influenza A virus, fowl adenovirus, infectious bronchitis virus, and infectious laryngotracheitis virus; in turkeys—influenza A virus; in swine, influenza A virus, rotavirus, and porcine reproductive and respiratory syndrome virus; in cattle—bovine viral diarrhea virus, Mycoplasma bovis, Salmonella Dublin in individual samples, and Salmonella Dublin in bulk tank milk samples. Data for each pathogen are presented in 2 dashboards. One shows the data of the last 10 y (general view) and the other the data of the last 3 y, but in more detail (comprehensive view). Information on gaining access to all dashboards is available at https://iapd.lsd.uoguelph.ca/ . The visualizations provide near-real-time access to aggregated assay results for selected pathogens for veterinarians, animal health regulatory agencies, researchers, and other users who are interested in livestock pathogen surveillance.

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Addressing “social hesitancy” with visual marketing

Mathaisel,

Comm

2024

JSOCM

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Purpose “Social hesitancy” is a reluctance by people to purchase products, or engage in activities, that may benefit themselves and society. This paper aims to review and assess a visual marketing approach to this significant social marketing problem. Design/methodology/approach The authors use data visualization technology as an informational tool, visual sentiment analysis as a social text mining tool and Latent Dirichlet Allocation visual (LDAvis) modelling as a topic modelling tool to measure, assess and address social attitudes inherent in hesitancy. The paper’s hypothesis is that these technologies can help society understand the reasons for, and barriers to, hesitancy, and that visual marketing is an extremely effective approach to the hesitancy problem. Findings Using extensive vaccination data and results from the COVID-19 pandemic, the authors found that the visual marketing technologies were successful informational and motivational tools for social hesitancy. Social implications Hesitancy is a social marketing concern that can have an impact on product or service promotional and motivational campaigns during a crisis. The LDA visual model, for example, can quantitatively extract and measure the social attitudes of people and identify and segment these people based on their feelings. These tools can be valuable to social marketers by helping to establish strategies for any product or service exhibiting hesitant consumer behaviour. Originality/value Using advanced visual technology, the paper contributes to social hesitancy by addressing the following question: does a visual marketing approach help social marketers understand the underlying reasons for, and help to mitigate, social hesitancy?

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The COVID-19 Dashboard for Real-time Tracking of the Pandemic

Abstract: In this Viewpoint, Lauren Gardner, winner of the 2022 Lasker-Bloomberg Public Service Award for creating the COVID-19 Dashboard, discusses the development of the Dashboard and the factors that contributed to its success.

Cited by 6 publications

References 6 publications

Data Science in a Pandemic

Data Science in a Pandemic

Development of interactive dashboards for monitoring endemic animal pathogens in Ontario, Canada: Ontario interactive animal pathogen dashboards

Addressing “social hesitancy” with visual marketing

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