A Synergetic R-Shiny Portal for Modeling and Tracking of COVID-19 Data.
Front Public Health
; 8: 623624, 2020.
Article
in English
| MEDLINE | ID: covidwho-1083744
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
User-Computer Interface
/
Data Display
/
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Front Public Health
Year:
2020
Document Type:
Article
Affiliation country:
Fpubh.2020.623624
Similar
MEDLINE
...
LILACS
LIS