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Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19
  Pandemic: Leveraging Data Science, Epidemiology and Control Theory

Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control Theory

1 June 2020
Teodoro Alamo
Daniel Gutiérrez-Reina
P. Millán
ArXivPDFHTML

Papers citing "Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control Theory"

2 / 2 papers shown
Title
EpidemiOptim: A Toolbox for the Optimization of Control Policies in
  Epidemiological Models
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas
B. Hejblum
S. Rouillon
R. Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
M. Prague
24
22
0
09 Oct 2020
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives
  for Brazil
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
M. Ribeiro
Ramon Gomes da Silva
V. Mariani
L. Coelho
57
420
0
21 Jul 2020
1