Open Access
| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 16, 2025
|
|
|---|---|---|
| Article Number | 28 | |
| Number of page(s) | 16 | |
| DOI | https://doi.org/10.1051/smdo/2025030 | |
| Published online | 11 December 2025 | |
- J. Demongeot et al., Data-driven mathematical modeling approaches for COVID-19 dynamics, Math.Biosci. (2024). https://doi.org/10.1016/j.mbs.2024.100095 [Google Scholar]
- S.B. Zerefe, Mathematical modeling of COVID-19 disease dynamics, Comput. Math. Methods Med. (2024). https://doi.org/10.1155/2024/5556734 [Google Scholar]
- N.K. Goswami, A mathematical model for investigating the effect of media coverage on COVID-19 spread, J. Math. Biol. (2024). https://doi.org/10.1007/s00285-024-01603-9 [Google Scholar]
- S.L. Loo et al., Scenario projections of COVID-19 burden in the US, 2024-2025, JAMA Netw. Open (2025). https://doi.org/10.1001/jamanetworkopen.2024.89067 [Google Scholar]
- M. Riaz et al., A comprehensive analysis of COVID-19 nonlinear dynamics and control strategies, Sci. Rep. (2024). https://doi.org/10.1038/s41598-024-61730-y [Google Scholar]
- E. Burch et al., Early mathematical models of COVID-19 vaccination in the United States, J. Theor. Biol. (2024). https://doi.org/10.1016/j.jtbi.2024.112097 [Google Scholar]
- Y.R. Kim et al., A mathematical model of COVID-19 with multiple variants under optimal control, PLOS ONE (2024). https://doi.org/10.1371/journal.pone.0303791 [Google Scholar]
- S.S. Alshagrawi, Predicting COVID-19 vaccine uptake: comparing the health belief model and theory of planned behavior, J. Health Psychol. (2024). https://doi.org/10.1177/1359105323112345 [Google Scholar]
- J.Z. Ndendya, Mathematical modelling of COVID-19 transmission with integrated control strategies, J. Math. Biol. (2024). https://doi.org/10.1007/s00285-024-01603-9 [Google Scholar]
- H. Manabe, Simple mathematical model for predicting COVID-19 outbreaks, BMC Infect. Dis. (2024). https://doi.org/10.1186/s12879-024-09354-5 [Google Scholar]
- A.M. Close, Updated COVID-19 vaccine ( 2024–2025 formulation) effectiveness, CDC Advisory Committee on Immunization Practices, (2024). https://doi.org/10.15585/mmwr.mm7446e1 [Google Scholar]
- H. Abboubakar, Mathematical modeling of the Coronavirus (COVID-19) transmission dynamics, Discrete Contin. Dyn. Syst. Ser. B, (2025). https://doi.org/10.3934/dcdsb.2024089 [Google Scholar]
- T. Jdid, A vaccination-based COVID-19 model, Comput. Math. Methods Med. (2024). https://doi.org/10.1155/2024/5556734 [Google Scholar]
- N.H. Ogden, Mathematical modelling for pandemic preparedness in Canada: learning from COVID-19, Can. Commun. Dis. Rep. (2024). https://doi.org/10.14745/ccdr.v50i10a03 [Google Scholar]
- M. Ladib, Mathematical modelling of contact tracing and stability in epidemic outbreaks, J. Math. Biol. (2024). https://doi.org/10.1007/s00285-024-01603-9 [Google Scholar]
- R. Link-Gelles, Interim estimates of 2024–2025 COVID-19 vaccine effectiveness, MMWR Morb. Mortal Wkly. Rep. (2025). https://doi.org/10.15585/mmwr.mm7446e1 [Google Scholar]
- R. Tompa, Model estimates who benefits most from frequent COVID-19 boosters, Stanford Med. News (2024). https://doi.org/10.1101/2024.03.06.23285057 [Google Scholar]
- P. Dubey, Editorial: mathematical modeling of diseases at population scale, Front. Appl. Math. Stat. (2024). https://doi.org/10.3389/fams.2024.1534439 [Google Scholar]
- C.M. Verrelli, New challenges in the mathematical modelling and control of COVID-19 epidemics, Mathematics (2024). https://doi.org/10.3390/math12091353 [Google Scholar]
- A. Yehoshua, Public health and economic impact of COVID-19 vaccination strategies, J. Health Econ. (2024). https://doi.org/10.1080/13696998.2024.2429335 [Google Scholar]
- Z. Zhang, Global sensitivity analysis in the SIHR epidemiological model with application to COVID-19, ResearchGate (2020). https://www.researchgate.net/publication/345968567_Global_sensitivity_analysis_of_COVID-19_mathematical_model [Google Scholar]
- V. Ambalarajan et al., A six-compartment model for COVID-19 with transmission dynamics, Nature (2024). https://www.nature.com/articles/s41598-024-72487-9 [Google Scholar]
- H. Shirouyehzad et al., Fight against COVID-19: a global efficiency evaluation based on contagion control and medical treatment, J. Appl. Res. Ind. Eng. 7, 109–120 (2020) [Google Scholar]
- M. Abbas et al., Decision-making analysis of minimizing the death rate due to COVID-19 by using q-rung orthopair fuzzy soft Bonferroni mean operator, J. Fuzzy Ext. Appl. 3, 231–248 (2022) [Google Scholar]
- L.M. Erinle-Ibrahim et al., A mathematical model and sensitivity analysis of Lassa fever with relapse and reinfection rate, Tanz. J. Sci. 48, 414–426 (2022) [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.
