COVID-19 Global Predictions and Trends

The SI / SIR / SIRD models are epidemiological models based on first-order differential equations. These are used here to understand the characteristics of contagious illness over time using global data under the conditions of containment. A number of countries have been selected for which containment measures have lead to a significant reduction in the rate of spread. Data analysis and statistical treatment are performed using a frequentist framework. For this purpose the data processing framework ROOT developed by the European Laboratory CERN is used. Results are presented in terms of lower and upper curves for the cumulative number of positive cases as a function of time. These are estimated on the basis of a 68%  Confidence Level. Predictions are updated on a daily basis. The accuracy of these predictions improves with time. 


Disclaimer: Predictions displayed are valid as long as the application and adherence to containment interventions remain unchanged.


We want to thank the SA-CERN program hosted by iThemba LABS of the National Research Foundation and funded by the Department of Science and Innovation.


Data sources:

    - Johns Hopkins University CSSE: 

    - Worldometers:  

    - World Population Review:

This dashboard is developed and maintained by a team of student volunteers.

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Corona Virus Global Predictions and Trends 
Coronavirus Information
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