COVID-19 Global Data Visualisation is a MATLAB GUI app developed by Eleni Christoforidou using MATLAB R2022b. The app allows users to easily visualize daily and cumulative COVID-19 cases and deaths globally, and by country and state or region. The data is sourced from the Coronavirus Resource Center at Johns Hopkins University and covers the period from January 22, 2020, to December 28, 2021. Features: Visualize daily and cumulative COVID-19 cases and deaths. Filter data by country and state or region. Data sourced from the Coronavirus Resource Center at Johns Hopkins University. Customization: The source code can be modified to visualize different data, provided a new .mat file with the exact same structure is supplied by the us...
In 2020 the world has generating 52 times the amount of data as in 2010, and 76 times the number of ...
Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number...
Visualization is an integral part in the investigation of information hidden in the collected health...
Data visualization is an essential tool for exploring and communicating findings in medical research...
Background: Data analysis and visualization are essential for exploring and communicating medical re...
Background: Data analysis and visualization is an essential tool for exploring and communicating fin...
Data analysis and visualization is an essential tool for exploring and communicating findings in med...
Objectives To identify international and periodically updated models of the COVID-1...
In the Recent Pandemic Situation, detecting the initial outcome of pneumonia was in Wuhan (Hubei, Ch...
On March 11, 2020, the World Health Organization announced the novel coronavirus disease (COVID-19) ...
Abstract Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronaviru...
The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) organized an onli...
Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about...
Data In this study the data sources are WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, ...
This study is intended to help in drawing the charts, constantly updated, based on data (confirmed c...
In 2020 the world has generating 52 times the amount of data as in 2010, and 76 times the number of ...
Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number...
Visualization is an integral part in the investigation of information hidden in the collected health...
Data visualization is an essential tool for exploring and communicating findings in medical research...
Background: Data analysis and visualization are essential for exploring and communicating medical re...
Background: Data analysis and visualization is an essential tool for exploring and communicating fin...
Data analysis and visualization is an essential tool for exploring and communicating findings in med...
Objectives To identify international and periodically updated models of the COVID-1...
In the Recent Pandemic Situation, detecting the initial outcome of pneumonia was in Wuhan (Hubei, Ch...
On March 11, 2020, the World Health Organization announced the novel coronavirus disease (COVID-19) ...
Abstract Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronaviru...
The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) organized an onli...
Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about...
Data In this study the data sources are WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, ...
This study is intended to help in drawing the charts, constantly updated, based on data (confirmed c...
In 2020 the world has generating 52 times the amount of data as in 2010, and 76 times the number of ...
Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number...
Visualization is an integral part in the investigation of information hidden in the collected health...