A Synergetic R-Shiny Portal for Modeling and Tracking of COVID-19 Data

Frontiers in Public Health

Mahdi Salehi¹  Foad Esmaeili¹  Mohammad Arashi²  Ding-Geng Chen³  Johan Ferreira³  Andriette Bekker³  Motala Frances³ 

[1] Department of Mathematics and Statistics, University of Neyshabur, Neyshabur, Iran;Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran;Department of Statistics, University of Pretoria, Hatfield, South Africa;Department of Statistics, University of Pretoria, Hatfield, South Africa;

关键词: COVID-19;    dashboard;    gompertz growth model;    logistic growth model;    moran's index;    open science;    r;    shiny;   

DOI  :  10.3389/fpubh.2020.623624

来源: Frontiers

【 摘 要 】

The purpose of this paper is to introduce a useful online interactive dashboard (https://mahdisalehi.shinyapps.io/Covid19Dashboard/) that visualize and follow confirmed cases of COVID-19 in real-time. The dashboard was made publicly available on 6 April 2020 to illustrate the counts of confirmed cases, deaths, and recoveries of COVID-19 at the level of country or continent. This dashboard is intended as a user-friendly dashboard for researchers as well as the general public to track the COVID-19 pandemic, and is generated from trusted data sources and built in open-source R software (Shiny in particular); ensuring a high sense of transparency and reproducibility. The R Shiny framework serves as a platform for visualization and analysis of the data, as well as an advance to capitalize on existing data curation to support and enable open science. Coded analysis here includes logistic and Gompertz growth models, as two mathematical tools for predicting the future of the COVID-19 pandemic, as well as the Moran's index metric, which gives a spatial perspective via heat maps that may assist in the identification of latent responses and behavioral patterns. This analysis provides real-time statistical application aiming to make sense to academic- and public consumers of the large amount of data that is being accumulated due to the COVID-19 pandemic.

【 授权许可】

CC BY