By A Mystery Man Writer
The early trickle of new coronavirus infections has turned into a steady current. By creating simple simulations, we can see how to slow it down.
Data Science in a Pandemic - Data Science Journal
Systems Dynamics Approach for Modelling South Africa's Response to Covid-19: A “What If” Scenario - Shingirirai Savious Mutanga, Mercy Ngungu, Fhulufhelo Phillis Tshililo, Martin Kaggwa, 2021
Systems Dynamics Approach for Modelling South Africa's Response to Covid-19: A “What If” Scenario - Shingirirai Savious Mutanga, Mercy Ngungu, Fhulufhelo Phillis Tshililo, Martin Kaggwa, 2021
How Data Visualization Helps Us to Approach the COVID-19 Pandemic - UMD College of Information Studies
Poorly known aspects of flattening the curve of COVID-19 - ScienceDirect
Data visualization resources for the age of the coronavirus, by Ben Dexter Cooley
Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” - Washington Post
Pierre-François D'Haese on LinkedIn: These coronavirus simulations show how to flatten the growth curve — The…
Covid-19 predictions using a Gauss model, based on data from April 2