CYIRPESep 2, 2020

covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Coronavirus Disease Pandemic

arXiv:2009.01091v2
Originality Synthesis-oriented
AI Analysis

This provides a tool for researchers and analysts to handle pandemic data efficiently, but it is incremental as it builds on existing open science resources.

The authors developed an R package, covid19.analytics, to access, analyze, and visualize worldwide data from the coronavirus pandemic, enabling users to deploy a dashboard explorer for interactive exploration.

With the emergence of a new pandemic worldwide, a novel strategy to approach it has emerged. Several initiatives under the umbrella of "open science" are contributing to tackle this unprecedented situation. In particular, the "R Language and Environment for Statistical Computing" offers an excellent tool and ecosystem for approaches focusing on open science and reproducible results. Hence it is not surprising that with the onset of the pandemic, a large number of R packages and resources were made available for researches working in the pandemic. In this paper, we present an R package that allows users to access and analyze worldwide data from resources publicly available. We will introduce the covid19.analytics package, focusing in its capabilities and presenting a particular study case where we describe how to deploy the "COVID19.ANALYTICS Dashboard Explorer".

Code Implementations2 repos
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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