Analysis of the dynamics and optimal control of cutaneous Leishmania during human immigration

Document Type : Research Article

Authors

Fundamental and Applied Mathematics Laboratory (FAML), Department of Mathematics and Computer Science, Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Morocco.

Abstract

Leishmania is an infectious disease that is difficult to control and has an impact on morbidity and mortality around the world. This study investi-gates the dynamics of cutaneous Leishmania and optimal control measures, particularly in regards to human immigration. Applying a mathematical model to evaluate the dynamics of human immigration and sand flies pop-ulation. The human population is classified into four compartments: sus-ceptible, exposed, infectious, and recovered. The sand fly population is divided into three categories: susceptible, exposed, and infectious. The mathematical analysis involves positivity, existence and the uniqueness of the solution. We analyzed the global stability of the system around the endemic equilibrium point by contracting the Lyapunov function. Optimal control measures are used to reduce the number of infected and exposed individuals among humans, sand flies, and migrants. These techniques are described using Pontryagin’s Maximum Principle to derive necessary conditions for optimal control. The numerical simulations confirm the the-oretical results by showing that following these controls effectively reduces the spread of the disease, and immigration has a major impact on the spread of human-borne Leishmania.

Keywords

Main Subjects


[1] Agusto, F.B., and ELmojtaba, I.M. Optimal control and cost-effective analysis of malaria/visceral Leishmaniasis co-infection, PLoS One, 12(2) (2017), e0171102.
[2] Alvar, J., Vélez, I.D., Bern, C., Herrero, M., Desjeux, P., Cano, J., Jan-nin, J., and den Boer, M. Leishmaniasis worldwide and global estimates of its incidence, PLoS One, 7(5) (2012), e35671.
[3] Assimina, Z., Charilaos, K. and Fotoula, B., Leishmaniasis: An over-looked public health concern, Health Sci. J., 2(4) (2008) 196–205.
[4] Bashaye, S., Nombela, N., Argaw, D., Mulugeta, A., Herrero, M., Nieto, J., Chicharro, C., Cañavate, C., Aparicio, P., and Vélez, I.D. Risk factors for visceral Leishmaniasis in a new epidemic site in Amhara Region, Ethiopia, Am. J. Trop. Med. Hyg., 81(1) (2009), 34.
[5] Benahmadi, L., Lhous, M., Tridane, A., Zakary, O., and Rachik, M. Modeling the Impact of the Imperfect Vaccination of the COVID-19 with Optimal Containment Strategy, Axioms, 11(3) (2022), 124.
[6] Birkhoff, G.and Rota, G.-C. Ordinary differential equations, New York: John Wiley & Sons, 1989.
[7] Boussaa, S. Épidémiologie des leishmanioses dans la région de Mar-rakech, Maroc: Effet de l’urbanisation sur la répartition spatio-temporelle des phlébotomes et caractérisation moléculaire de leurs populations, Doc-toral Dissertation, Université de Strasbourg, 2008.
[8] Brauer, F. Models for transmission of disease with immigration of infec-tives, Math. Biosci., 171(2) (2001), 143–154.
[9] Burattini, M.N., Coutinho, F.A.B., Lopez, L.F., and Massad, E. Mod-elling the dynamics of Leishmaniasis considering human, animal host and vector populations, J. Biol. Syst., 6(4) (1998), 337–356.
[10] Cox, F.E.G. History of human parasitology, Clin. Microbiol. Rev., 15(4)(2002), 595–612.
[11] Desta, A., Shiferaw, S., Kassa, A., Shimelis, T., and Dires, S. Module on Leishmaniasis for the Ethiopian health center team, Debub University, Ethiopia, (2005).
[12] Echchakery, M., Chicharro, C., Boussaa, S., Nieto, J., Carrillo, E., Ortega, S., Moreno, J., and Boumezzough, A. Molecular detection of Leishmania infantum and Leishmania tropica in rodent species from endemic cutaneous Leishmaniasis areas in Morocco, Parasites Vectors, 10(1) (2017), 1–8.
[13] ELmojtaba, I.M. Mathematical model for the dynamics of visceral Leishmaniasis–malaria co-infection, Math. Methods Appl. Sci., 39(15) (2016), 4334–4353.
[14] Findlater, A., and Bogoch, I.I. Human mobility and the global spread of infectious diseases: a focus on air travel, Trends Parasitol., 34(9) (2018), 772–783.
[15] Fleming, W.H. and Rishel, R.W. Deterministic and Stochastic Optimal Control, Springer New York, 2012.
[16] Ibáñez, A.M., Rozo, S.V., and Urbina, M.J. Forced migration and the spread of infectious diseases, J. Health Econ., 79 (2021), 102491.
[17] Jia, Z.-W., Tang, G.-Y., Jin, Z., Dye, C., Vlas, S.J., Li, X.-W., Feng, D., Fang, L.-Q., Zhao, W.-J., and Cao, W.-C. Modeling the impact of immigration on the epidemiology of tuberculosis, Theor. Popul. Biol., 73(3) (2008), 437–448.
[18] Khan, A., Zarin, R., Inc, M., Zaman, G., and Almohsen, B. Stability analysis of Leishmania epidemic model with harmonic mean type inci-dence rate, Eur. Phys. J. Plus, 135(6) (2020), 528.
[19] Leishman, W.B., On the possibility of the occurrence of trypanosomiasis in India, British Medical Journal, 1(2213) (1903) 1252.
[20] Lhous, M., Rachik, M., and Larrache, A. Free optimal time control prob-lem for a SEIR-epidemic model with immigration of infective, Int. J. Comput. Appl., 159(3) (2017), 1–5.
[21] Li, G., Wang, W., and Jin, Z. Global stability of an SEIR epidemic model with constant immigration, Chaos Solitons Fractals, 30(4) (2006), 1012–1019.
[22] Li, J., Zhang, J., and Ma, Z. Global analysis of some epidemic models with general contact rate and constant immigration, Appl. Math. Mech., 25 (2004), 396–404.
[23] Nadeem, F., Zamir, M., and Tridane, A. Modeling and control of zoonotic cutaneous Leishmaniasis, Punjab Univ. J. Math., 51(2) (2020).
[24] Oryan, A., and Akbari, M. Worldwide risk factors in Leishmaniasis, Asian Pac. J. Trop. Med., 9(10) (2016), 925–932.
[25] Pan American Health Organization, ”Leishmaniasis,” Pan American Health Organization. Available: https://www.paho.org/en/topics/ Leishmaniasis. Accessed on 2023.
[26] Pantha, B., Agusto, F.B., and Elmojtaba, I.M. Optimal control applied to a visceral Leishmaniasis model, Technical Report, Department of Math-ematics, Texas State University, 2020.
[27] Pavli, A., and Maltezou, H.C. Leishmaniasis, an emerging infection in travelers, Int. J. Infect. Dis., 14(12) (2010), e1032–e1039.
[28] Reveiz, L., Maia-Elkhoury, A.N.S., Nicholls, R.S., Sierra Romero, G.A., and Yadon, Z.E. Interventions for American cutaneous and mucocu-taneous Leishmaniasis: a systematic review update, PLoS One, 8(4) (2013), e61843.
[29] Sakkoum, A., Lhous, M., and Magri, E.M. A mathematical simulation and optimal control of a VIH model with different infectious level, J. Math. Comput. Sci., 12 (2022), Article-ID 117.
[30] Sigdel, R.P., and McCluskey, C.C. Global stability for an SEI model of infectious disease with immigration, Appl. Math. Comput., 243 (2014), 684–689.
[31] Steverding, D. The history of Leishmaniasis, Parasites Vectors, 10(1) (2017), 1–10.
[32] Traoré, A. Analysis of a vector-borne disease model with human and vectors immigration, J. Appl. Math. Comput., 64(1-2) (2020), 411–428.
[33] Vannier-Santos, M. A., Martiny, A., and Souza, W. de. Cell biology of Leishmania spp.: invading and evading, Curr. Pharm. Des., 8(4) (2002), 297–318.
[34] Votýpka, J., Kasap, O.E., Volf, P., Kodym, P., and Alten, B. Risk factors for cutaneous Leishmaniasis in Cukurova region, Turkey, Trans. R. Soc. Trop. Med. Hyg., 106(3) (2012), 186–190.
[35] World Health Organization, ”Leishmaniasis,” World Health Orga-nization, 2023. Available: https://www.who.int/health-topics/ Leishmaniasis#tab=tab_1.
[36] World Health Organization, ”Leishmaniasis,” World Health Or-ganization, 2023. Available: https://www.who.int/news-room/ fact-sheets/detail/Leishmaniasis. Accessed on 12 January 2023.
[37] Zamir, M., Zaman, G., and Alshomrani, A.S. Sensitivity analysis and optimal control of anthroponotic cutaneous Leishmania, PLoS One, 11(8) (2016), e0160513.
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