Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo
- DOI
- 10.1038/s41598-022-25480-z
- Published
- 2022-12-03
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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uncertain Score 64/100 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:10.1038/s41598-022-25480-z,
title = {Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo},
author = {Taishu Murakami and Shunsuke Sakuragi and Hiroshi Deguchi and Masaru Nakata},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-25480-z},
url = {https://doi.org/10.1038/s41598-022-25480-z}
}RIS
TY - JOUR TI - Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo AU - Taishu Murakami AU - Shunsuke Sakuragi AU - Hiroshi Deguchi AU - Masaru Nakata PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-25480-z UR - https://doi.org/10.1038/s41598-022-25480-z ER -
APA
Murakami, T., Sakuragi, S., Deguchi, H., & Nakata, M. (2022). Agent-based model using GPS analysis for infection spread and inhibition mechanism of SARS-CoV-2 in Tokyo. Scientific Reports. https://doi.org/10.1038/s41598-022-25480-z
Source records
- crossref · retrieved 2026-09-26T04:28:43.385Z