A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.
- DOI
- 10.1109/tcss.2021.3060952
- Published
- 2021 Aug
- Container
- IEEE transactions on computational social systems
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/tcss.2021.3060952,
title = {A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.},
author = {Wang R and Ji C and Jiang Z and Wu Y and Yin L and Li Y},
year = {2021},
journal = {IEEE transactions on computational social systems},
doi = {10.1109/tcss.2021.3060952},
url = {https://doi.org/10.1109/tcss.2021.3060952}
}RIS
TY - JOUR TI - A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data. AU - Wang R AU - Ji C AU - Jiang Z AU - Wu Y AU - Yin L AU - Li Y PY - 2021 JO - IEEE transactions on computational social systems DO - 10.1109/tcss.2021.3060952 UR - https://doi.org/10.1109/tcss.2021.3060952 ER -
APA
R, W., C, J., Z, J., Y, W., L, Y., & Y, L. (2021). A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.. IEEE transactions on computational social systems. https://doi.org/10.1109/tcss.2021.3060952
Source records
- pubmed · retrieved 2026-11-10T13:54:33.220Z