Open Access
| Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
|---|---|---|
| Article Number | 06002 | |
| Number of page(s) | 5 | |
| Section | Mathematic Model, Learning Modelep, Epidemic Model | |
| DOI | https://doi.org/10.1051/e3sconf/202132806002 | |
| Published online | 06 December 2021 | |
- https://www.worldometers.info/coronavirus/, Retrieved: 09-09-2021. [Google Scholar]
- Corona Virus Disease (COVID-19)-Question and Answer. Available at https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/qadetail/q-a-coronaviruses [accessed Nopember, 2020] [Google Scholar]
- Ceylan, Z. (2020). Estimation of COVID-19 prevalence in Italy, Spain, and France. Science of The Total Environment, 138817. [CrossRef] [Google Scholar]
- Chintalapudi, N., Battineni, G., and Amenta, F. (2020). COVID-19 disease outbreak forecasting of registered and recovered cases after sixty-day lockdown in Italy: A data driven model approach. Journal of Microbiology, Immunology and Infection. [Google Scholar]
- Chatterjee, K., Chatterjee, K., Kumar, A., and Shankar, S. (2020). Healthcare impact of COVID19 epidemic in India: A stochastic mathematical model. Medical Journal Armed Forces India. [PubMed] [Google Scholar]
- Jiao, J., Liu, Z., and Cai, S. (2020). Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible. Applied Mathematics Letters, 106442. [CrossRef] [PubMed] [Google Scholar]
- Mandal, M., Jana, S., Nandi, S. K., Khatua, A., Adak, S., and Kar, T. K. (2020). A model-based study on the dynamics of COVID-19: Prediction and control. Chaos, Solitons & Fractals, 109889. [CrossRef] [Google Scholar]
- He, S., Peng, and, and Sun, K. (2020). SEIR modeling of the COVID-19 and its dynamics. Nonlinear Dynamics, 101(3), 1667-1680. [Google Scholar]
- Ivorra, B., Ferrez, M. R., Vela-Pz, M., and 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, 105303. [CrossRef] [Google Scholar]
- Aldila, D., Khoshnaw, S. H., Safitri, E., Anwar, Y. R., Bakry, A. R., Samiadji, B. M., ... and Salim, S.N. (2020). A mathematical study on the spread of COVID-19 considering social distancing and rapid assessment: The case of Jakarta, Indonesia. Chaos, Solitons & Fractals, 110042. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.