Publication date
September 2020
DOIAbstract
Supplementary files, data and code for TBMM submission "The impact of natural disasters on the spread of COVID-19: a geospatial, agent based epidemiology model
Supplementary files, data and code for TBMM submission "The impact of natural disasters on the spread of COVID-19: a geospatial, agent based epidemiology model
Geographically-enabled Agent-based model for COVID-19 Transmission (GeoACT) is a new science gateway...
The present pandemic has tremendously raised the health systems’ burden around the globe. It is impo...
Since 2019, COVID-19 has challenged health worldwide. To better understand the disease, scientists h...
Agent-based models (ABMs) are powerful tools used for better understanding, predicting, and respondi...
This is a synthetic case reporting data set for the SARS-CoV-2 epidemic in Austria. The data set sta...
In order to mitigate the effects of disease spread, it is necessary to understand the Spatio-tempora...
A landscape epidemiology modeling framework is presented which integrates the simulation outputs fro...
Monitoring the evolution and diffusion of diseases is an important task for health monitoring. Recen...
Currently, there is a global pandemic of COVID-19. To assess its prevalence, it is necessary to have...
The current COVD-19 pandemic is having a catastrophic effect on human health and global economies
The novel coronavirus disease 2019 (COVID-19) has swept across the globe, taken countless lives and ...
Advances in computational performance and the advent of big data have allowed the emergence of new m...
www.rti.org Communicable-disease transmission models are useful for the testing of prevention and in...
Analysis data and code for: Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in ...
A data driven agent-based model that recommends non-pharmaceutical intervention strategies to suppre...
Geographically-enabled Agent-based model for COVID-19 Transmission (GeoACT) is a new science gateway...
The present pandemic has tremendously raised the health systems’ burden around the globe. It is impo...
Since 2019, COVID-19 has challenged health worldwide. To better understand the disease, scientists h...
Agent-based models (ABMs) are powerful tools used for better understanding, predicting, and respondi...
This is a synthetic case reporting data set for the SARS-CoV-2 epidemic in Austria. The data set sta...
In order to mitigate the effects of disease spread, it is necessary to understand the Spatio-tempora...
A landscape epidemiology modeling framework is presented which integrates the simulation outputs fro...
Monitoring the evolution and diffusion of diseases is an important task for health monitoring. Recen...
Currently, there is a global pandemic of COVID-19. To assess its prevalence, it is necessary to have...
The current COVD-19 pandemic is having a catastrophic effect on human health and global economies
The novel coronavirus disease 2019 (COVID-19) has swept across the globe, taken countless lives and ...
Advances in computational performance and the advent of big data have allowed the emergence of new m...
www.rti.org Communicable-disease transmission models are useful for the testing of prevention and in...
Analysis data and code for: Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in ...
A data driven agent-based model that recommends non-pharmaceutical intervention strategies to suppre...
Geographically-enabled Agent-based model for COVID-19 Transmission (GeoACT) is a new science gateway...
The present pandemic has tremendously raised the health systems’ burden around the globe. It is impo...
Since 2019, COVID-19 has challenged health worldwide. To better understand the disease, scientists h...
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