IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University , World Bank , Our World in Data , Oxford University , and ACAPS Organization .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .
Project This project is avaliable at Github Project.

How to Use this APP
We have developed this app to provide live data on the trends of COVID-19 coronavirus. The app provides you with a range of analysis and visualisations that enable you to track the spread of virus around the world and helps you get a sense of the patterns across different countries and regions

You have a few options in the top menu:

World - Explorer: This page allows you to visualise different indicators such as the number of cases, deaths, or recoveries, both cumulative and new, in actual or per capita terms.

World - Day Zero: This page presents the number of cases (reported, deaths, recoveries) in actual and per capita terms. You can add or remove countries and compare them. The x-axis is number of days since the first case was reported which provides you with an opportunity to understand how long it has taken a country to reach a specific number of cases. You can change this number to be a higher value, for example, days since the 100th case was reported.

World - Growth: This page attempts to present a basic model to predict the number of new cases every day compared to the total number of cases the day before. The graphs can be used to compare the growth rate of reported, death or recovery cases across countries. The plot on the right hand side compares the growth rate of each country with a fixed line to help identifying countries with high or low growth patterns.

World - Ratio: This page helps you to follow the death and recovery ratios across countries and over time. Please notice that the recovry data has some issues which seem to be due to different reporting practices.

World - Healthcare: We aim to provide a range of data, mainly sourced from World Bank data, to help provide a better understanding of the capacity of healthcare systems to cope with the outbreak.

World - Policy: We have mapped the policy repsonses implemented in each country against the trends for cases and deaths.

AUS-US-CHN Day Zero: These graphs are very similar to World Day Zero, however, since the sub-region (province/state) data is available for some counntries we have provided the graph at the next level.
IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description On this page, you can plot a range of different indicators against each other. For example, if you want to generate a graph that shows the number of deaths against the number of reported cases across countries, you can select for the x-axis, Confirmed Cases from X-measure, then choose Cumulative Cases, and then Actual, and for the y-axis select Death Cases, Cumulative and then Actual. This would then show you Death against Cases and so you can get a sense of changes in death rate across countries. You can change the list of countries included
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .


IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description On this page, you can look at the trend for the number of new and total cases, both actual (left) and per capita (right, per 10 M of population). On the x-axis we the plot the number of days since the Nth case was reported in each country, you can change this number. Please notice that the y-axis is logged.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .


IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description This page attempts to present a basic model to predict the number of new cases every day compared to the total number of cases the day before. The graphs can be used to compare the growth rate of reported, death, or recovery cases across countries. The plot on the right hand side compares the growth rate of each country with a fixed line to help identifying countries with high or low growth patterns.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .


IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description This page helps you to follow the death and recovery ratios across countries and over time. The plot on the right shows the death and the plot on the left provides the recovery ratio. Please notice that on early days the values can be volatile due to small number of cases.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .


IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description This page consolidates world bank data with COVID-19 cases, we mainly focus on indicators that would help us better understand the capacity of the healthcare system and how much it is stressed. This page also provides you with data on the position of COVID-19 as a cause of death against the top 10 causes of death in each country.
Formula Active Cases = Confirmed Cases - (Death Cases + Recovered Cases)
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .


Left:

The value indicates the relative position of a selected country against all other countries. When a country has a higher value across each of the measures, it is interpreted as being more ready in facing the pandemic

Urban Population, Population Age >= 65, and Vulnerable Employment (Male and Female) scales have been reverted to refelct their readiness.

Right:

The top 10 causes of death are presented for each country and COVID-19 is added to provide an opportunity for benchmarking.


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Description This page provides data on the policy responses of each country mapped against the number of cases and deaths. You can also compare countries in terms of their level of preparedness to the pandemic, using a set of indicators normalised across all countries.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University , Oxford University , and ACAPS Organization .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .



IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description Understanding the testing patterns across countries is key to being able to make sense of confirmed cases. This page provides you with a range of plots where you can monitor the changes in the testing patterns and also compare the latest level of testing across countries where data is available.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University and Our World in Data .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .



IMPORTANT NOTICE We are moving ... Please find us at Coffee & Plot. Click here.

Description On this page, you can look at the trends for the number of new and total cases, both actual (left) and per capita (right, per 10 M of population). On the x-axis we the plot counts the number of days since the first case was reported in each country. Please notice that the y-axis is logged.
Acknowledgements We acknowledge and appreciate the support that the RStudio team provided by offering an unlimited access account for this application. The data is sourced from Johns Hopkins University .
Feedback Please contact us on Behrooz Hassani-M, PhD and Yutong (Yuri) Song, PhD .