The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
Open accessAbstract
Highlights • Mathematical model for coronavirus disease that fits well the spread in China.• New θ-SEIHRD model taking into account undetected infections.• Validation of the model with the reported data on China.• Estimation of errors when identifying parameters at early stages of the pandemic.• Different scenarios to show the impact of undetected cases on the pandemic.
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Cites
van den Driessche, P., & Watmough, J. (2002) · Mathematical Biosciences · doi:10.1016/s0025-5564(02)00108-6 · Cited by 9,977
Coronaviridae Study Group of the International Committee on Taxonomy of Viruses, Gorbalenya, A. E., Baker, S. C., Baric, R. S., de Groot, R. J., Drosten, C., Gulyaeva, A. A., Haagmans, B. L., Lauber, C., Leontovich, A. M., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0695-z · Cited by 8,403
A novel coronavirus outbreak of global health concern
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30185-9 · Cited by 7,700
Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020) · Science · doi:10.1126/science.abb3221 · Cited by 3,633
The reproductive number of COVID-19 is higher compared to SARS coronavirus
Liu, Y., Gayle, A. A., Wilder-Smith, A., & Rocklöv, J. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa021 · Cited by 3,192
Population biology of infectious diseases: Part I
Anderson, R. M., & May, R. M. (1979) · Nature · doi:10.1038/280361a0 · Cited by 3,185
Early dynamics of transmission and control of COVID-19: a mathematical modelling study
Kucharski, A. J., Russell, T. W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., Eggo, R. M., Sun, F., Jit, M., Munday, J. D., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30144-4 · Cited by 2,671
Mizumoto, K., Kagaya, K., Zarebski, A., & Chowell, G. (2020) · Eurosurveillance · doi:10.2807/1560-7917.es.2020.25.10.2000180 · Cited by 2,276
Mathematical Models in Population Biology and Epidemiology
Brauer, F., & Castillo-Chávez, C. (2001) · Texts in Applied Mathematics · doi:10.1007/978-1-4757-3516-1 · Cited by 1,995
Wang, Y., Wang, Y., Chen, Y., & Qin, Q. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25748 · Cited by 1,531
Cited by
Silva, P. C. L., Batista, P. V. C., Lima, H. S., Alves, M. A., Guimarães, F. G., & Silva, R. C. P. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110088 · Cited by 389
Metadata
- Authors
- Ivorra, B., Ferrández, M. R., Vela-Pérez, M., & Ramos, A. M.
- Venue
- Communications in Nonlinear Science and Numerical Simulation
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 88
- Pages
- 105303
- ISSN
- 1007-5704 (ISSN-L)
- OpenAlex
- W3017787557
- Cited by
- 560
- References
- 22
- FWCI
- 18.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Ivorra, B., Ferrández, M. R., Vela-Pérez, M., & Ramos, A. M. (2020). Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China. Communications in Nonlinear Science and Numerical Simulation. https://doi.org/10.1016/j.cnsns.2020.105303
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
