Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread.
- DOI
- 10.1016/j.jpdc.2024.104899
- Published
- 2024 Sep
- Container
- Journal of parallel and distributed computing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jpdc.2024.104899,
title = {Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread.},
author = {Bhattacharya P and Machi D and Chen J and Hoops S and Lewis B and Mortveit H and Venkatramanan S and Wilson ML and Marathe A and Porebski P and Klahn B and Outten J and Vullikanti A and Xie D and Adiga A and Brown S and Barrett C and Marathe M},
year = {2024},
journal = {Journal of parallel and distributed computing},
doi = {10.1016/j.jpdc.2024.104899},
url = {https://doi.org/10.1016/j.jpdc.2024.104899}
}RIS
TY - JOUR TI - Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. AU - Bhattacharya P AU - Machi D AU - Chen J AU - Hoops S AU - Lewis B AU - Mortveit H AU - Venkatramanan S AU - Wilson ML AU - Marathe A AU - Porebski P AU - Klahn B AU - Outten J AU - Vullikanti A AU - Xie D AU - Adiga A AU - Brown S AU - Barrett C AU - Marathe M PY - 2024 JO - Journal of parallel and distributed computing DO - 10.1016/j.jpdc.2024.104899 UR - https://doi.org/10.1016/j.jpdc.2024.104899 ER -
APA
P, B., D, M., J, C., S, H., B, L., H, M., S, V., ML, W., A, M., P, P., B, K., J, O., A, V., D, X., A, A., S, B., C, B., & M, M. (2024). Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread.. Journal of parallel and distributed computing. https://doi.org/10.1016/j.jpdc.2024.104899
Source records
- pubmed · retrieved 2026-09-25T05:00:03.940Z