Propagation of Coronavirus(COVID-19)
Authors: Juan Francisco Venegas Gutiérrez
Working with Shiny for 1+ years
Abstract: The following dashboard shows the global spread of COVID-19, where the information for the different countries is exposed together with relevant statistics. Finally, a predictive model of machine learning for the city of Hubei was developed.
Full Description: The dashboard is a tool that presents the propagation of COVID-19 in the world, for this the confirmed cases, deaths and recovered both in a disaggregated form by country and accumulated are exposed. Together with this a machine learning model was developed which seeks Predict confirmed cases as deaths. Preliminary results show novel results with a low percentage error for each model of 1.13% and 3.19% for models of confirmed cases and deaths. It should be noted that time series were used since 22 January to March 4 of the city of Hubei. Finally, I am working on new visualization modules as well as predictive for the dashboard.
Category: Healthcare
Keywords: Health COVID-19 machine learning map
Shiny app: https://app-test-1.shinyapps.io/coronavirus/
Repo: https://github.com/jvenegas1/dashboard_COVID-19
RStudio Cloud: https://app-test-1.shinyapps.io/coronavirus/
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.Awesome app.