Persistent Identifier
|
doi:10.18130/V3/ZOG1FF |
Publication Date
|
2023-03-30 |
Title
| Synthetic Data To Support US-UK Prize Challenge For Developing Privacy Enhancing Methods: Predicting Individual Infection Risk During A Pandemic |
Related URL
| https://prepare-vo.org/synthetic-pandemic-outbreaks |
Other Location for Dataset
| net.science: https://net.science/files/resources/datasets/PET_Prize_PandemicForecasting/ |
Author
| Harrison, Galen (University of Virginia, Biocomplexity Institiute and Initiative)
Chen, Jiangzhuo (University of Virginia, Biocomplexity Institiute and Initiative)
Mortveit, Henning (University of Virginia, Biocomplexity Institiute and Initiative)
Hoops, Stefan (University of Virginia, Biocomplexity Institiute and Initiative)
Porebski, Przemyslaw (University of Virginia, Biocomplexity Institiute and Initiative)
Xie, Dawen (University of Virginia, Biocomplexity Institiute and Initiative)
Wilson, Amanda (University of Virginia, Biocomplexity Institiute and Initiative)
Bhattacharya, Parantapa (University of Virginia, Biocomplexity Institiute and Initiative)
Vullikanti, Anil (University of Virginia, Biocomplexity Institiute and Initiative)
Xiong, Li (Emory University)
Marathe, Madhav (University of Virginia, Biocomplexity Institiute and Initiative) |
Point of Contact
|
Use email button above to contact.
Porebski, Przemyslaw (University of Virginia, Biocomplexity Institiute and Initiative) |
Dataset Description
| Synthetic population and synthetic outbreak data for Virginia and GBR. |
Subject
| Medicine, Health and Life Sciences; Computer and Information Science; Mathematical Sciences; Social Sciences |
Data Creation Date
| 2022-08-01 |
Depositor
| Porebski, Przemyslaw |
Deposit Date
| 2023-03-27 |