Abstract
We propose a delay fractional order model for the co-infection of malaria and the human immunodeficiency virus, where personal protection and vaccination against malaria are considered. We compute the reproduction number of the model and study the stability of the disease free equilibrium. The numerical simulations of the model are performed for distinct values of the order of the fractional derivative, \(\alpha \in (0,1]\). We have also varied relevant parameters, such as the susceptibility to malaria of individuals showing symptoms of acquired immunodeficiency syndrome, \(\nu _2\), the degree of sexual activity due to malaria, \(\epsilon _2\), the human immunodeficiency virus related mortality due to co-infection, \(\psi \), and the level of personal protection against malaria, b. The outputs of the model are biologically meaningful.
Similar content being viewed by others
References
The World Health Organization (WHO) (2004) Malaria and HIV interaction and their implications for public health police. http://www.who.int/hiv/pub/prev_care/malariahiv.pdf
Center for Disease Control (CDC). http://www.cdc.gov/malaria
Hay SI, Guerra CA, Tatem AJ, Noor AM, Snow RW (2004) The global distribution and population at risk of malaria: past, present, and future. Lancet Infect Dis 4:327–336
Center for Disease Control (CDC). http://www.cdc.gov/HIV
Van Geertruyden JP (2014) Interactions between malaria and human immunodefficiency virus anno 2014. Clin Microbiol Infect 20:278–285
Chandra G, Bhattacharjee I, Chatterjee SN, Ghosh A (2008) Mosquito control by larvivorous fish. Indian J Med Res 127:13–27
Hays JN (2005) Epidemics and pandemics: their impacts on human history. ABC-CLIO, Santa Barbara. http://www.abc-clio.com/ABC-CLIOCorporate/About.aspx
Mutero CM, Blank H, Konradsen F, van der Hoek W (2000) Water management for controlling the breeding of Anopheles mosquitoes in rice irrigation schemes in Kenya. Acta Trop 76:253–263
Miller LH, David PH, Hadley TJ, Freeman RR (1984) Perspectives for malaria vaccination (and vaccination). Philos Trans R Soc Lond B 84(2):99–115
Bardaji A, Sigauque B, Sanz S, Maixenchs M, Ordi J, Aponte JJ, Mabunda S, Alonso PL, Menendez C (2011) Impact of malaria at the end of pregnancy on infant mortality and morbidity. J Infect Dis 203(5):691–699
Brown GV (1999) Progress in the development of malaria vaccines: context and constraints. Parassitologia 41:429–432
Chiyaka C, Garira W, Dube S (2007) Transmission model of endemic human malaria in a partially immune population. Math Comput Model 46(5–6):806–822
Chiyaka C, Tchuenche JM, Garira W, Dube S (2008) A mathematical analysis of the effects of control strategies on the transmission dynamics of malaria. Appl Math Comput 195:641–662
Chiyaka C, Tchuenche JM, Garira W, Dube S (2009) Effects of treatment and drugs resistance on the transmission dynamics of malaria in endemic areas. Theor Popul Biol 75:14–29
Brentlinger PE, Behrens CB, Kublin JG (2007) Challenges in the prevention, diagnosis, and treatment of malaria in human immunodeficiency virus infected adults in sub-Saharan Africa. Arch Intern Med 167(17):1827–1836
Grimwadea K, French N, Mbatha DD, Zungu DD, Dedicoat MD, Gilks CF (2004) HIV infection as a cofactor for severe falciparum malaria in adults living in a region of unstable malaria transmission in South Africa. AIDS 18:547–554
UNICEF Malaria Technical Note 6 (February 2003). http://www.unicef.org/health/files/UNICEFTechnicalNote6MalariaandHIV.docUNICEF
Hoffman IF, Jere CS, Taylor TE, Munthali P, Dyer JR, Wirima JJ, Rogerson SJ, Kumwenda N, Eron JJ, Fiscus SA, Chakraborty H, Taha TE, Cohen MS, Molyneux ME (1999) The effect of Plasmodium falciparum malaria on HIV-1 RNA blood plasma concentration. AIDS 13(4):487–494
Chitnis N, Cushing JM, Hyman JM (2006) Bifurcation analysis of a mathematical model for malaria transmission. SIAM J Appl Math 67(1):24–45
Águas R, Ferreira MU, Gomes MGM (2012) Modeling the effects of relapse in the transmission dynamics of malaria parasites. J Parasitol Res 2012:715–921
Abdu-Raddad LJ, Patnaik P, Kublin JG (2006) Dual infection with HIV and malaria fuels the spread of both diseases in sub-Saharan Africa. Science 314:1603–1606
Ghosh M, Lashari AA, Li XZ (2013) Biological control of malaria: a mathematical model. Appl Math Comput 219:7923–7939
Nyabadza F, Bekele BT, Ra MA, Malonza DM, Chiduku N, Kgosimore M (2015) The implications of HIV treatment on the HIV-malaria coinfection dynamics: a modeling perspective. BioMed Res Int. doi:10.1155/2015/659651
Sardar T, Rana S, Bhattacharya S, Al-Khaled K, Chattopadhyay J (2015) A generic model for a single strain mosquito-transmitted disease memory on the host and the vector. Math Biosci 263:18–36
Driessche P, Watmough J (2002) Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math Biosci 180(1–2):29–48
Ahmed E, El-Sayed AMA, El-Saka HAA (2006) On some Routh–Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rössler, Chua and Chen systems. Phys Lett A 358:1–4
Asl FM, Ulsoy AG (2003) Analysis of a system of linear delay differential equations. J Dyn Syst 125:215–223
Ahmed E, Elgazzar AS (2007) On fractional order differential equations model for nonlocal epidemics. Phys A 379:607–614
Dietz K, Molineaux L, Thomas A (1974) A malaria model tested in the African savannah. Bull World Health Organ 50:347–357
Bowman C, Gumel AB, van den Driessche P, Wu J, Zhu H (2005) A mathematical model for assessing control strategies against West Nile virus. Bull Math Biol 67:1107–1133
Mukandavire Z, Gumel AB, Garira W, Tchuenche JM (2009) Mathematical analysis of a model for HIV-malaria co-infection. Math Biosci Eng 6:333–362
Detinova TS (1962) Age grouping methods in Diptera of medical importance, with special reference to some vectors of malaria. Monogr Ser 47:213. http://apps.who.int/iris/bitstream/10665/41724/1/WHO_MONO_47_%28part1%29.pdf
Acknowledgments
Authors wish to thank the Polytechnic of Porto, through the PAPRE Programa de Apoio à Publicação em Revistas Científicas de Elevada Qualidade for financial support. The first author was partially supported by CMUP (UID/MAT/00144/2013), which is funded by FCT (Portugal) with national (MEC) and European structural funds through the programs FEDER, under the partnership agreement PT2020. The research of AC was partially supported by a FCT Grant with reference SFRH/BD/96816/2013.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Carvalho, A., Pinto, C.M.A. A delay fractional order model for the co-infection of malaria and HIV/AIDS. Int. J. Dynam. Control 5, 168–186 (2017). https://doi.org/10.1007/s40435-016-0224-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40435-016-0224-3