Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread
- DOI
- 10.1109/tetci.2021.3059007
- Published
- 2021-06
- Container
- IEEE Transactions on Emerging Topics in Computational Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tetci.2021.3059007,
title = {Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread},
author = {Satyaki Roy and Preetom Biswas and Preetam Ghosh},
year = {2021},
journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
doi = {10.1109/tetci.2021.3059007},
url = {https://doi.org/10.1109/tetci.2021.3059007}
}RIS
TY - JOUR TI - Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread AU - Satyaki Roy AU - Preetom Biswas AU - Preetam Ghosh PY - 2021 JO - IEEE Transactions on Emerging Topics in Computational Intelligence DO - 10.1109/tetci.2021.3059007 UR - https://doi.org/10.1109/tetci.2021.3059007 ER -
APA
Roy, S., Biswas, P., & Ghosh, P. (2021). Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread. IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/tetci.2021.3059007
Source records
- crossref · retrieved 2026-09-26T02:26:53.139Z