This is a synthetic case reporting data set for the SARS-CoV-2 epidemic in Austria. The data set statistically reproduces and synthetically augments data on reported cases and was generated with an agent-based simulation model. References to descriptions of the model and the parameterization used to generate the data set is included in the attached PDF file. The data format is described in the README file.Funding: Austrian Research Promotion Agency (FFG) COVID-19 Emergency Call, Vienna Science and Technology Fund WWTF-COVID-19 Rapid Response Funding, Medizinisch-Wissenschaftlicher Fonds des Bürgermeisters der Bundeshauptstadt Wien, Society for Medical Decision Making (SMDM) COVID-19 Decision Modeling Initiativ
The synthetic dataset that models COVID-19 real world observations from WHO COVID-19 RAPID Version C...
Code used for the inference of the probability of hospitalization and death by age and sex and the i...
SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on soc...
The software implements an agent-based model for a fine-grained computational simulation of the COVI...
The data contains outputs of agend-based epidemiological simulations of Berlin. This output was used...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceToday, over a year after the start of the COVID-19 epidemic, we still have to ...
In Switzerland, 702000 people tested positive for the SARS-CoV-2 to date (June 20th, 2021) and 10875...
This is version 2.0.0 of the code and represents the state of the code as used for the calibration a...
ENG - The dataset contains the agent-based modelling tool used to model the spread of SARS-COV-2 vir...
International audienceWe are trying to test the capacity of a simplified macroscopic virus-centric m...
The PANDEM-2 COVID-19 European training dataset is a large collection of time series either of real ...
Amid the ongoing COVID-19 pandemic, public health authorities and the general population are strivin...
This R code is an agent based stochastic model of the propagation of a virus in a population. The c...
Agent-based models are a tool that can be used to better understand the dynamics of an infectious di...
The synthetic dataset that models COVID-19 real world observations from WHO COVID-19 RAPID Version C...
Code used for the inference of the probability of hospitalization and death by age and sex and the i...
SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on soc...
The software implements an agent-based model for a fine-grained computational simulation of the COVI...
The data contains outputs of agend-based epidemiological simulations of Berlin. This output was used...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceToday, over a year after the start of the COVID-19 epidemic, we still have to ...
In Switzerland, 702000 people tested positive for the SARS-CoV-2 to date (June 20th, 2021) and 10875...
This is version 2.0.0 of the code and represents the state of the code as used for the calibration a...
ENG - The dataset contains the agent-based modelling tool used to model the spread of SARS-COV-2 vir...
International audienceWe are trying to test the capacity of a simplified macroscopic virus-centric m...
The PANDEM-2 COVID-19 European training dataset is a large collection of time series either of real ...
Amid the ongoing COVID-19 pandemic, public health authorities and the general population are strivin...
This R code is an agent based stochastic model of the propagation of a virus in a population. The c...
Agent-based models are a tool that can be used to better understand the dynamics of an infectious di...
The synthetic dataset that models COVID-19 real world observations from WHO COVID-19 RAPID Version C...
Code used for the inference of the probability of hospitalization and death by age and sex and the i...
SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on soc...