References
- [1] R. Aguas, M. U. Ferreira, M. G. M. Gomes, Modeling the effects of relapse in the transmission dynamics of malaria parasites, Journal of Parasitology Research, 2012, Article ID 921715, 8 p., (2012), doi:10.1155/2012/921715.10.1155/2012/921715
- [2] F. B. Agusto, A. B. Gumel, Theoretical assessment of avian influenza vaccine, DCDS Series B. 13(1), 1–25, (2010).10.3934/dcdsb.2010.13.1
- [3] M. Alifrangis, et al., IgG reactivities against recombinant Rhoptry-Associated Protein-1 (rRAP-1) are associated with mixed Plasmodium infections and protection against disease in Tanzanian children, Parasitology 119, 337–342, (1999).10.1017/S0031182099004825
- [4] R. M. Anderson, R. M. May, Infectious Diseases of Humans: Dynamics and Control, Oxford University Press, Oxford, (1991).
- [5] A. P. Arez, J. Pinto, K. Palsson, G. Snounou, T. G. Jaenson, V. do Rosario, Transmission of mixed Plasmodium species and Plasmodium falciparum genotypes, Am. J. Trop. Med. Hyg. 68, 161–168, (2003).10.4269/ajtmh.2003.68.2.0680161
- [6] F. Ariey, V. Robert, The puzzling links between malaria transmission and drug resistance, Trends in Parasitology 19, 158–160, (2003).10.1016/S1471-4922(03)00054-0
- [7] E. A. Bakare, On the Qualitative behaviour of a human-mosquito model for Malaria with multiple vector control strategies. Int. J. Ecol. Econ. Stat. 36(2), 96–113, (2015).
- [8] E. A. Bakare, S. Hoskova-Mayerova, Numerical Treatment of Optimal Control Theory Applied to Malaria Transmission Dynamic Model, Quality and Quantity, 23 p., doi: 10.1007/s11135-020-01092-5, (2021).10.1007/s11135-020-01092-5
- [9] S. Bekesiene, S. Hoskova-Mayerova, P. Diliunas, Structural Equation Modeling Using the Amos and Regression of Effective Organizational Commitment Indicators in Lithuanian Military Forces. In Proceedings of the Aplimat–16th Conference on Applied Mathematics 2017, Proceedings, Bratislava, Slovakia, 91–102, (2017).
- [10] S. Bekesiene, S. Hoskova-Mayerova, Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators. J. Math Fund. Sci. 50(2), 121–141, (2018). doi: 10.5614/J.MATH.FUND.SCI.2018.50.2.210.5614/j.math.fund.sci.2018.50.2.2
- [11] S. Bekesiene, I. Meidute-Kavaliauskiene, V. Vasiliauskiene, Accurate Prediction of Concentration Changes in Ozone as an Air Pollutant by Multiple Linear Regression and Artificial Neural Networks. Mathematics 2021, 9, 356, doi:10.3390/math9040356.10.3390/math9040356
- [12] J. T. Bousema, C. J. Drakeley, P. F. Mens, et al., Increased Plasmodium falciparum gametocyte production in mixed infections with P. malariae, Am. J. Trop. Med. Hyg. 78(3), 442–448, (2008).10.4269/ajtmh.2008.78.442
- [13] C. W. Brown, M. El. Kahoui, D. Novotni, A. Weber, Algorithmic methods for investigating equilibria in epidemic modeling, J. Symb. Comput. 41, 1157–1173, (2006).10.1016/j.jsc.2005.09.011
- [14] A. E. Bryson Jr. Optimal control 1950 to 1985. IEEE Control Systems Magazine, 26–33, (1996).10.1109/37.506395
- [15] C. Li-Ming, A. A. Lashari, I. H. Jung, K. O. Okosun, and Y. Il. Seo, Mathematical Analysis of a Malaria Model with Partial Immunity to Reinfection, Hindawi Publishing Corporation, Abstr Appl Ana., 2013, Article ID 405258, 17 p., http://dx.doi.org/10.1155/2013/405258 (2013).10.1155/2013/405258
- [16] C. Chiyaka, W. Garira, S. Dube, Effects of treatment and drug resistance on the transmission dynamics of malaria in endemic areas, Theor. Pop. Biol. 75, 14–29, (2009).10.1016/j.tpb.2008.10.00219013477
- [17] J. Ferguson, N. O’Leary, F. Maturo, S. Yusuf, M. O’Donnell, Graphical comparisons of relative disease burden across multiple risk factors, BMC Medical Research Methodology 19(1), Article Number: 186, doi: 10.1186/s12874-019-0827-4, (2019).10.1186/s12874-019-0827-4673760831506063
- [18] W. H. Fleming, R. W. Rishel, Deterministic and Stochastic Optimal Control. Springer Verlag, New York, (1975).10.1007/978-1-4612-6380-7
- [19] S. Florus, P. Otřísal. Vybrané metody studia chemické odolnosti izolačních ochranných fólií pro bojové chemické ltky. Chem. Listy 108(9), 838–842 (2014).
- [20] H. M. Yang, Malaria transmission model for different levels of acquired immunity and temperature-dependent parameters (vector), Journal of Public Health 34, 223–231,(2000).10.1590/S0034-89102000000300003
- [21] R. M. Karrakchou, S. Gourari, Optimal control and infectiology: Application to an HIV/AIDS model. Appl Math Comput. 177, 807–818, (2006).10.1016/j.amc.2005.11.092
- [22] Y. H. Kang, S. Lenhart, V. Protopopescu, Optimal Control of Parameters and Input functions for Nonlinear Systems. Houston Journal of Mathematics, University of Houston, 33(4), 1231–1256, (2007).
- [23] R. Korsakiene, V. Kozak, S. Bekesiene, R. Smaliukiene, Modelling Internationalization of High Growth Firms: Micro Level Approach, E & M Ekonomie a Management, 22(1), 54–71, DOI: 10.15240/tul/001/2019-1-004, (2019).10.15240/tul/001/2019-1-004
- [24] S. Lenhart, J. T. Workman, Optimal Control Applied to Biological Models. Chapman and Hall, (2007).10.1201/9781420011418
- [25] M. Martcheva, An Introduction to Mathematical Epidemiology, Springer, (2015). doi. 10.1007/978-1-4899-7612-310.1007/978-1-4899-7612-3_1
- [26] O. D. Makinde, K. O. Okosun, Impact of chemo-therapy on optimal control of malaria disease with infected immigrants. Biosystems 104(1), 32–41, (2011), https://doi.org/10.1016/j.biosystems.2010.12.01010.1016/j.biosystems.2010.12.01021219965
- [27] F. Maturo, Unsupervised classification of ecological communities ranked according to their bio-diversity patterns via a functional principal component decomposition of Hill’s numbers integral functions, Ecological Indicators 90, 305–315, doi: 10.1016/j.ecolind.2018.03.013, (2018).10.1016/j.ecolind.2018.03.013
- [28] F. Maturo, T. Di Battista, A functional approach to Hill’s numbers for assessing changes in species variety of ecological communities over time, Ecological Indicators 84, 70–81 doi:10.1016/j.ecolind.2017.08.016, (2018).10.1016/j.ecolind.2017.08.016
- [29] S. Olaniyi, K. O. Okosun, S. O. Adesanya, R. S. Lebelo, Modelling malaria dynamics with partial immunity and protected travellers: optimal control and cost-effectiveness analysis, J Biol Dynam. 14(1), 90–115, (2020), doi: 10.1080/17513758.2020.1722265.10.1080/17513758.2020.172226532046615
- [30] P. Otrisal, V. Obsel, J. Buk, L. Svorc. Preparation of Filtration Sorptive Materials from Nanofibers, Bicofibers, and Textile Adsorbents without Binders Employment. Nanomaterials 8(8), 564, doi: 10.3390/nano8080564. (2018).10.3390/nano8080564611621930042303
- [31] L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishchenko, The mathematical theory of optimal processes, Wiley, New York, (1962).
- [32]R. Potuček, Life Cycle of the Crisis Situation Threat and Its Various Models, Studies in Systems, Decision and Control 208, 443–461, https://doi.org/10.1007/978-3-030-18593-032, (2020).10.1007/978-3-030-18593-0_32
- [33] J. P. Romero-Leiton, J. M. Montoya-Aguilar, E. Ibargen-Mondragn, An optimal control problem applied to malaria disease in Colombia, Appl. Math. Sci. 12(6), 279–292, doi:10.12988/ams.2018.819, (2018).10.12988/ams.2018.819
- [34] I. Svarcova, B. Ptacek, J. Navratil, Psychological Intervention as Support in Disaster Preparedness, In: Crisis Management and Solution of the Crisis Situations 2015, 317–320, (2015).
- [35] I. Svarcova, S. Hoskova-Mayerova, J. Navratil, Crisis Management and Education in Health, The European Proceedings of Social & Behavioural Sciences EpSBS, XVI, p. 255–261. http://dx.doi.org/10.15405/epsbs.2016.11.26(2016).
- [36]I. Tuser, The development of education in emergency management, Studies in Systems, Decision and Control 247, pp. 169-175, doi: 10.1007/978-3-030-30659-5 10, (2020).10.1007/978-3-030-30659-5
- [37] WHO, Malaria, fact sheets, http://www.who.int/inf-fs/en/fact094.html (2020).