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. 2020 Jun 8:9:570.
doi: 10.12688/f1000research.24164.1. eCollection 2020.

Online dashboard and data analysis approach for assessing COVID-19 case and death data

Hector Florez  1 , Sweta Singh  2
Affiliations

Online dashboard and data analysis approach for assessing COVID-19 case and death data

Hector Florez et al. F1000Res. .

Abstract

The 2019-2020 global pandemic has been caused by a disease called coronavirus disease 2019 (COVID-19). This disease has been caused by the Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2). By April 30 2020, the World Health Organization reported 3,096,626 cases and 217,896 deaths, which implies an exponential growth for infection and deaths worldwide. Currently, there are various computer-based approaches that present COVID-19 data through different types of charts, which is very useful to recognise its behavior and trends. Nevertheless, such approaches do not allow for observation of any projection regarding confirmed cases and deaths, which would be useful to understand the trends of COVID-19. In this work, we have designed and developed an online dashboard that presents actual information about COVID-19. Furthermore, based on this information, we have designed a mathematical model in order to make projections about the evolution of cases and deaths worldwide and by country.

Keywords: COVID-19; Data analysis; Mathematical model; SARS-CoV-2.

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Conflict of interest statement

No competing interests were disclosed.

Figures

Figure 1.
Figure 1.. COVID-19 Dashboard components.
Figure 2.
Figure 2.. Geographic chart from COVID-19 Dashboard showing the number of deaths by country using colour coding.
Red = high number of deaths; light blue = low number of deaths. Chart captured on May 29 th 2020.
Figure 3.
Figure 3.. Fragment of a bar chart from COVID-19 Dashboard showing the number of deaths per country sorted from highest to lowest.
Chart captured on May 29 th 2020.
Figure 4.
Figure 4.. Geographic chart from COVID-19 Dashboard showing the number of cases by country per million people using color coding. Red = high number of deaths; light blue = low number of deaths.
Chart captured on May 29 th 2020.
Figure 5.
Figure 5.. Fragment of bar chart from COVID-19 Dashboard showing mortality rates per country sorted highest to lowest.
Chart captured on May 29 th 2020.
Figure 6.
Figure 6.. Bar chart from COVID-19 Dashboard showing cases per date in Colombia.
Chart captured on May 29 th 2020.
Figure 7.
Figure 7.. Cases and death projections from COVID-19 Dashboard.
Chart captured on May 29 th 2020.
See this image and copyright information in PMC

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References

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Grants and funding

The author(s) declared that no grants were involved in supporting this work.
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