Lee, J., Mendoza, R., Mendoza, V. M. P., and Jung, E. (2025). Differential evolution with spherical search algorithm for nonlinear engineering and infectious disease optimization problems. Appl. Soft Comput., 168, 112446, doi:10.1016/j.asoc.2024.112446.
Mata, M.A.E., Escosio, R.A.S., Rosero, E.V.G.A., Viernes, J.P.T, Anonuevo, L.E., Hernandez, B.S., Addawe, J.M., Addawe, R.C., Pilar-Arceo, C.P.C., Mendoza, V.M.P., and de los Reyes V, A.A. (2024). Analyzing the dynamics of COVID-19 transmission in select regions of the Philippines: A modeling approach to assess the impact of various tiers of community quarantines. Heliyon, 10(21), e39330, doi:10.1016/j.heliyon.2024.e39330.
Lim, Y., Ko, Y., Mendoza, V.M.P., Mendoza, R., Lee, J., and Jung, E. (2024). Optimal Non-Pharmaceutical Interventions Considering Limited Healthcare System Capacity and Economic Costs in the Republic of Korea. Math. Model. Nat. Phenom., 19: 6, doi:10.1051/mmnp/2024005.
Castillo, R. C. J.,Mendoza, V. M. P., Lope, J. E., and Mendoza, R. (2023). Modeling infectious disease trend using Sobolev polynomials.Commun Biomath Sci, 6(2): 100-107, doi: 10.5614/cbms.2023.6.2.2
Pino, R., Mendoza, V. M. P., Enriquez, E. A., Velasco, A. C., and Mendoza, R. (2023). An optimization model with simulation for optimal regional allocation of COVID-19 vaccines. Healthcare Analytics 100244, doi: 10.1016/j.health.2023.100244
Escosio, R. A. S. Cawiding, O. R., Hernandez, B. S., Mendoza, R. G., Mendoza, V. M. P., Mohammad, R. Z., Pilar-Arceo, C. P. C., Salonga, P. K. N., Suarez, F. L. E., Sy, P. W., Vergara, T. H. M., and de los Reyes V, A. A. (2023). A Model-Based Strategy for the COVID-19 Vaccine Roll-Out in the Philippines, J. Theor. Biol.573: 111596. doi: 10.1016/j.jtbi.2023.111596
Malaguit, J. C., Mendoza, V. M. P., Tubay, J. M., and Mata, M. A. (2023) Identifying Patterning Behavior in a Plant Infestation of Insect Pests. Math Biosci 362: 109032. doi: 10.1016/j.mbs.2023.109032
Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee,J., and Jung, E. (2023). Risk estimation of lifted mask mandates and emerging variants using mathematical model. Heliyon 9(6), e16841. doi:10.1016/j.heliyon.2023.e16841
Lee, J., Mendoza, R., Mendoza, V. M. P., Lee, J., Seo, Y. and Jung, E. (2023). Modelling the effects of social distancing, antiviral therapy, and booster shots on mitigating Omicron spread. Sci Rep 13, 6914. doi: 10.1038/s41598-023-34121-y
Mendoza, V. M. P., Mendoza, R., Ko, Y., Lee, J., and Jung, E. (2022). Managing bed capacity and timing of interventions: a COVID-19 model considering behavior and underreporting. AIMS Math, 7(9), 2201-2225. doi: 10.3934/math.2023114
Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee, J. and Jung, E. (2022), Estimation of monkeypox spread in a non-endemic country considering contact tracing and self-reporting: a stochastic modeling study. J Med Virol. 1-11. doi: 10.1002/jmv.28232
Cabanilla, K. I., Enriquez, E. A., Velasco, A. C., Mendoza, V. M. P., and Mendoza, R. (2022). Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level. PeerJ, 10:e14151. doi: 10.7717/peerj.14151
Mendoza, V. M. P., Mendoza, R., Lee, J., and Jung, E. (2022). Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution. AIMS Math, 7(11), 19922-19953. doi: 10.3934/math.20221091
Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee, J., Lee,J., Kwon, D., and Jung, E. (2022). Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study. J Korean Med Sci, 37(26), e209. doi: 10.3346/jkms.2022.37.e209
Ko, Y., Mendoza, V. M. P., Seo, Y., Lee, J., Kim, Y., Kwon, D., and Jung, E. (2022). Quantifying the effects of non-pharmaceutical and pharmaceutical interventions against COVID-19 epidemic in the Republic of Korea: Mathematical model-based approach considering age groups and the Delta variant. Math Model Nat Phenom, 17(39), doi: 10.1051/mmnp/2022024
Jamilla, C. U., Mendoza, R., and Mendoza, V. M. P. (2021). Parameter Estimation in Neutral Delay Differential Equations Using Genetic Algorithm With Multi-Parent Crossover. IEEE Access, 9, 131348-131364. doi: 10.1109/ACCESS.2021.3113677
Salonga, P. K. N., Mendoza, V. M. P., Mendoza, R., and Belizario, V. Y. Jr. (2021). A mathematical model of the dynamics of lymphatic filariasis in Caraga Region, the Philippines. Royal Soc Open Sci, 8, 201965. doi: 10.1098/rsos.201965
Jamilla, C. U., Mendoza, R., and Mendoza, V. M. P. (2020). Explicit solution of a Lotka-Sharpe-McKendrick system involving neutral delay differential equations using the -Lambert function. Math Biosci Eng, 17(5), 5686–5708. doi: 10.3934/mbe.2020306
Mendoza, V. M. P., Kappel, F., and Kotanko, P. (2018). A model of vascular refilling with inflammation, Math Biosci, 303, 101-114. doi: 10.1016/j.mbs.2018.06.007
Conference Proceedings
Caro, L. A., Mendoza, R., and Mendoza, V. M. P. (2021). Application of Genetic Algorithm with Multi-Parent Crossover on an Inverse Problem in Delay Differential Equations. AIP Conf Proc, 2423, 020010. doi: 10.1063/5.0075363
Ferrolino, A. R. and Mendoza, V. M. P. (2019). Generalized Sensitivity Analysis Applied to Vascular Refilling Models. AIP Conf Proc, 2192, 060008. doi: 10.1063/1.5139154
Riñon, J. B. E., Mendoza, R., and Mendoza, V. M. P. (2019). Parameter Estimation of an S-system Model Using Hybrid Genetic Algorithm with the Aid of Sensitivity Analysis. In P. Fernandez, Jr., H. Adorna, and A. Sioson (Eds.), Proceedings of the 19th Philippine Computing Science Congress, National University, City of Manila, Computing Society of the Philippines, Inc., 94-102.
Others
Rabajante, J. F., Custodio, C. J. D. M., Babierra, A. L., Collera, J. A., de los Reyes V, A. A., del Rosario, R. C. H., Fortun, N. T., Jose, E. C., Lao, A. R., Mata, M. A. E., Mendoza, V. M. P., Tabornal, R. U., and Tubay, J. M. (2019). Birthing a mathematical biology community in the Philippines. Philipp Sci Lett, 12(2), 104-106. https://philsciletters.net/2019-104/
