|
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, GalenUniversity of Virginia, Biocomplexity Institiute and Initiative
Chen, JiangzhuoUniversity of Virginia, Biocomplexity Institiute and Initiative
Mortveit, HenningUniversity of Virginia, Biocomplexity Institiute and Initiative
Hoops, StefanUniversity of Virginia, Biocomplexity Institiute and Initiative
Porebski, PrzemyslawUniversity of Virginia, Biocomplexity Institiute and Initiative
Xie, DawenUniversity of Virginia, Biocomplexity Institiute and Initiative
Wilson, AmandaUniversity of Virginia, Biocomplexity Institiute and Initiative
Bhattacharya, ParantapaUniversity of Virginia, Biocomplexity Institiute and Initiative
Vullikanti, AnilUniversity of Virginia, Biocomplexity Institiute and Initiative
Xiong, LiEmory University
Marathe, MadhavUniversity 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
| Computer and Information Science; Mathematical Sciences; Medicine, Health and Life Sciences; Social Sciences |
|
Data Creation Date
| 2022-08-01 |
|
Depositor
| Porebski, Przemyslaw |
|
Deposit Date
| 2023-03-27 |