100 Essential R Resources for COVID-19: Empowering Information on the Coronavirus

100 Essential R Resources for COVID-19: Empowering Information on the Coronavirus

Introduction:

The global concern surrounding the Coronavirus has led to an increase in online resources related to this topic. This article presents a curated list of the best R resources available on the COVID-19 virus. The resources include Shiny apps, R packages, code, and datasets that provide valuable information and visualizations on the outbreak. From dashboards that track the spread of the virus in specific countries to simulations and forecasts, these resources offer unique insights into the pandemic. The code for these resources is available on GitHub, allowing users to access and explore the data for themselves. With the help of these R resources, users can stay informed and visualize the impact of COVID-19 worldwide.

Full Article: 100 Essential R Resources for COVID-19: Empowering Information on the Coronavirus

Best R Resources for COVID-19: A Comprehensive List

As the Coronavirus continues to spread globally, the demand for online resources related to the virus is increasing. To help you navigate through the vast amount of information available, we have compiled a list of the best R resources on the COVID-19 virus.

Please note that this list is not exhaustive, and if you believe that another resource deserves to be included, please let us know in the comments or by contacting us.

1. Coronavirus Tracker – Developed by John Coene, this Shiny app tracks the spread of the Coronavirus using data from John Hopkins, Weixin, and DXY Data. The app provides detailed information on the number of deaths, confirmed cases, and recoveries by time and region. The code is available on GitHub.

2. Coronavirus Dashboard from the {coronavirus} Package – This dashboard, developed by the author of the {coronavirus} package, provides an overview of the COVID-19 epidemic. The data and dashboard are updated daily, and the code is available on GitHub.

3. Visualization of COVID-19 Cases – Developed by Nico Hahn, this Shiny app uses leaflet, plotly, and data from Johns Hopkins University to visualize the outbreak of the novel Coronavirus. The app allows users to view data for the entire world or specific countries. The code is available on GitHub.

4. Modeling COVID-19 Spread vs Healthcare Capacity – Developed by Dr. Alison Hill, this Shiny app uses an epidemiological model to describe the spread and clinical progression of COVID-19. It includes different clinical trajectories, interventions to reduce transmission, and comparisons to healthcare capacity. The code is available on GitHub.

5. COVID-19 Data Visualization Platform – Developed by Shubhram Pandey, this Shiny app provides clear visualizations of the impact of COVID-19 worldwide. It also includes sentiment analysis using natural language processing from Twitter. The code is available on GitHub.

6. Coronavirus 10-day Forecast – Developed by the Spatial Ecology and Evolution Lab, this Shiny app provides a ten-day forecast of likely numbers of Coronavirus cases by country. This app helps citizens understand the progress of the epidemic. See a detailed explanation of the app and how to interpret it in the provided blog post. The code is available on GitHub.

7. Coronavirus (COVID-19) Across the World – Developed by Anisa Dhana in collaboration with datascience+, this Shiny app monitors the spread of COVID-19 across the world through a map visualization of confirmed cases. The dataset used is from Johns Hopkins CSSE, and part of the code is available in a blog post.

8. COVID-19 Outbreak – Developed by Dr. Thibaut Fabacher, this Shiny app shows an interactive map for global monitoring of the infection. It focuses on the evolution of cases per country and a given period in terms of incidence and prevalence. The code is available on GitHub, and a detailed blog post provides more information.

9. Flatten the Curve – Developed by Tinu Schneider, this Shiny app illustrates the different scenarios behind the #FlattenTheCurve message. The app is built upon Michael Höhle’s article, and the code is available on GitHub.

10. Explore the Spread of COVID-19 – Developed by Joachim Gassen, this Shiny app allows users to visualize confirmed and recovered cases and reported deaths for several countries. The app is based on data from different sources and utilizes the {tidycovid19} R package. A blog post provides further details on the app.

These are just a few examples of the R resources available for tracking and visualizing the COVID-19 virus. Each resource offers unique features and functionalities to help users gain insights into the pandemic.

Conclusion

In conclusion, the COVID-19 pandemic has prompted the development of various R resources to help track, analyze, and visualize the virus’s spread. The resources listed above provide valuable information and insights to individuals, researchers, and healthcare professionals. This list is not exhaustive, and we encourage you to explore additional R resources that may be available.

Summary: 100 Essential R Resources for COVID-19: Empowering Information on the Coronavirus

The Coronavirus pandemic has led to an increase in online resources about the virus. This article provides a selection of the best R resources on COVID-19. These resources include Shiny apps, R packages, datasets, and more. Some of the highlighted resources include a Coronavirus tracker, a dashboard, data visualization platforms, forecasting tools, and simulation models. The codes for these resources are available on GitHub for users to access and use. This article also invites readers to suggest additional resources that deserve to be on the list. Stay informed about the pandemic with these valuable R resources.

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