2020
DOI: 10.20344/amp.15056
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Canadian Public Health Agency Lessons on Using Choropleth Maps to Characterize Geographic Distribution of COVID-19 Data

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Cited by 2 publications
(2 citation statements)
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“…To work out and delineate the pattern and relationships between human activities, epidemic evolution processes, and risk trends, many scientific research institutions, governmental institutions, and mainstream media outlets have thrown into COVID-19 scientific researches as well as design of different types of maps and geovisualization for this public health emergency (Akella 2009;Kostelnick and Hoeniges 2019;Ye et al 2021). These maps and visualization forms integrated risk information to depict the dynamic patterns and properties of the epidemic as well as its adverse effect on the public from different aspects (Guillette et al 2020).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To work out and delineate the pattern and relationships between human activities, epidemic evolution processes, and risk trends, many scientific research institutions, governmental institutions, and mainstream media outlets have thrown into COVID-19 scientific researches as well as design of different types of maps and geovisualization for this public health emergency (Akella 2009;Kostelnick and Hoeniges 2019;Ye et al 2021). These maps and visualization forms integrated risk information to depict the dynamic patterns and properties of the epidemic as well as its adverse effect on the public from different aspects (Guillette et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Yalcin (2020) presented cartograms of COVID-19 outbreak as a superior visualization tool to map the spread and spatiotemporal patterns of the epidemic. Guillette et al (2020) conducted to use choropleth maps to visualize the geographic distribution of COVID-19 infection cases as an efficient tool to balance the need of risk disclosure with respecting individual privacy. Brice (2020) outlined a navigational approach for changing the information transmission forms of charts by converting time and space, aiming to optimize the maps' function of guiding the anticipation and interventions for emerging trend of COVID-19.…”
Section: Introductionmentioning
confidence: 99%