Prediction of the COVID-19 epidemic trends based on SEIR and AI models
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DOI: 10.1371/journal.pone.0245101
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Cited by:
- Benjamin Born & Alexander M Dietrich & Gernot J Müller, 2021.
"The lockdown effect: A counterfactual for Sweden,"
PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
- Born, Benjamin & Dietrich, Alexander & Müller, Gernot, 2020. "The lockdown effect: A counterfactual for Sweden," CEPR Discussion Papers 14744, C.E.P.R. Discussion Papers.
- Meliksah Turker & Haluk O. Bingol, 2023. "Multi-layer network approach in modeling epidemics in an urban town," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(2), pages 1-13, February.
- Yongdong Shi & Rongsheng Huang & Hanwen Cui, 2021. "Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period," IJERPH, MDPI, vol. 18(19), pages 1-12, October.
- Tianyi Li & Jiawen Luo & Cunrui Huang, 2021. "Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?," Papers 2103.05189, arXiv.org.
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