-
Viktoriya Petrakova, Olga Krivorotko, “Comparison of Two Mean Field Approaches to Modeling an Epidemic Spread”, J Optim Theory Appl, 204:3 (2025)
-
Ahmad Alhomaid, Abdullah H. Alzeer, Fahad Alsaawi, Abdulaziz Aljandal, Rami Al-Jafar, Marwan Albalawi, Dana Alotaibi, Raghad Alabdullatif, Razan AlGhassab, Dalia M. Mominkhan, Muaddi Alharbi, Ahmad A. Alghamdi, Maryam Almoklif, Mohammed K. Alabdulaali, “The impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia: Simulation approach”, Saudi Pharmaceutical Journal, 32:1 (2024), 101886
-
Olga Krivorotko, Sergey Kabanikhin, “Artificial intelligence for COVID-19 spread modeling”, Journal of Inverse and Ill-posed Problems, 32:2 (2024), 297
-
E. P. Krugova, E. E. Bukzhalev, “O matematicheskikh modelyakh virusologii, ispolzovannykh dlya izucheniya pandemii COVID-19”, Materialy Voronezhskoi mezhdunarodnoi vesennei matematicheskoi shkoly «Sovremennye metody kraevykh zadach.
Pontryaginskie chteniya—XXXIV», Voronezh, 3-9 maya 2023 g. Chast 3, Itogi nauki i tekhn. Sovrem. mat. i ee pril. Temat. obz., 232, VINITI RAN, M., 2024, 122–139
-
Natalia Baturina, V.I. Pakhomov, A.N. Altybayev, M. Petković, T.A. Maltseva, “Calibrating the parameters of the cholera epidemic spread model”, BIO Web Conf., 113 (2024), 06015
-
Kexin Wei, Shaojuan Ma, “The identification for time-varying parameter and noise of tuberculosis with seasonal changes based on data-behavior-driven system”, Eur. Phys. J. Spec. Top., 2024
-
Viktoriya Petrakova, “Inverse Coefficient Problem for Epidemiological Mean-Field Formulation”, Mathematics, 12:22 (2024), 3581
-
Svetozar Margenov, Nedyu Popivanov, Tsvetan Hristov, Veneta Koleva, “Computing the COVID-19 Basic and Effective Reproduction Numbers Using Actual Data: SEIRS Model with Vaccination and Hospitalization”, Mathematics, 12:24 (2024), 3998
-
Sergey Misyurin, Andrey Nelubin, Alexander Trofimov, Anna Nozdracheva, Natalia Nosova, Nikolay Khokhlov, V.S. Pashtetsky, A.L. Ivanov, I. Kudaibergenova, L. Sembiyeva, “Research of COVID-19 infection waves using mathematical models at different levels”, BIO Web Conf., 141 (2024), 04043
-
O. I. Krivorotko, S. I. Kabanikhin, M. A. Bektemesov, M. I. Sosnovskaya, A. V. Neverov, “Simulation of COVID-19 propagation scenarios in the Republic of Kazakhstan based on regularization of agent model”, J. Appl. Industr. Math., 17:1 (2023), 94–109
-
V. V. Vlasov, A. M. Deryabin, O. V. Zatsepin, G. D. Kaminskii, E. V. Karamov, A. L. Karmanov, S. N. Lebedev, G. N. Rykovanov, A. V. Sokolov, N. A. Teplykh, A. S. Turgiev, K. E. Khatuntsev, “Matematicheskoe modelirovanie zabolevaemosti COVID-19 v Moskve s primeneniem agentnoi modeli”, Diskretn. analiz i issled. oper., 30:2 (2023), 15–47
-
I. M. Azhmukhamedov, D. A. Machueva, “Modeling social attitude to introducing epidemic safety measures in a pandemic”, Control Sciences, 2023, no. 5, 56–64
-
L. V. Karaulova, V. M. Karaulov, A. V. Vishnyakov, “Mathematical and Statistical Model for Assessing the Impact of COVID-19 Waves on the Regional System (on the Example of the Kirov Region)”, Problemy analiza riska, 20:3 (2023), 60
-
Olga Krivorotko, Sergey Kabanikhin, Victoriya Petrakova, “The Identifiability of Mathematical Models in Epidemiology: Tuberculosis, HIV, COVID-19”, Math.Biol.Bioinf., 18:1 (2023), 177
-
Olga Krivorotko, Mariia Sosnovskaia, Sergey Kabanikhin, “Agent-based mathematical model of COVID-19 spread in Novosibirsk region: Identifiability, optimization and forecasting”, Journal of Inverse and Ill-posed Problems, 2023
-
Ancy Kujur, S Vijayakumar Bharathi, Dhanya Pramod, 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT), 2023, 101
-
Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina, “Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation”, BMC Med Inform Decis Mak, 23:1 (2023)
-
Kseniya Sahatova, Aleksandr Kharlunin, Israel Huaman, Vasiliy Leonenko, Lecture Notes in Computer Science, 10475, Computational Science – ICCS 2023, 2023, 286
-
Olga Krivorotko, Nikolay Zyatkov, 2023 5th International Conference on Problems of Cybernetics and Informatics (PCI), 2023, 1
-
O. I. Krivorot'ko, N. Yu. Zyatkov, S. I. Kabanikhin, “Modeling epidemics: neural network based on data and SIR-model”, Comput. Math. Math. Phys., 63:10 (2023), 1929–1941