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

Abstract

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.

Applications, features and key indicators for the development of Covid-19 dashboards: A systematic review study

“… This dashboard provides key metrics using charts and bar charts and is constantly updated, and allows users to access regional data. 18 Salehi [ 39 ] 2020 Iran R Shiny ✓ It introduces a useful online interactive dashboard that visualizes and tracks Covid-19 verifications in real-time. Provides an online statistical program, which aims to make reasoning a large amount of data collected during the COVID-19 epidemic for academic and general consumers.…”

A Web-Based Application to Monitor and Inform about the COVID-19 Outbreak in Italy: The {COVID-19ita} Initiative

“…This R-Shiny programming with the development approach in GitHub has been used by the authors of the aforementioned web app to ensure a user-friendly open-source R Shiny software guaranteeing a high sense of transparency and reproducibility of codes, data, and results with the general public and scientific community [ 24 ].…”

CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database

“…Another benefit of this application is by automating physician notification letters, the participants will receive feedback from highly skilled and trained dementia experts faster, thus the quality of the physician–patient experience will improve. Adaptation of such open-source system is widely applicable in other healthcare areas such as to visualize and track COVID data, 33 , 34 infection management 35 etc. Although the potential benefits of computer-based system in medical research areas, paper based reporting still used in parallel in many sectors.…”