A mathematical model of Chikungunya transmission incorporating a fear parameter and a chronic-outcome variabl‌e

Authors
1 University of Zabol
2 University of ferdowsi
Abstract
This study investigates the role of fear and anxiety induced by the spread of the Chikungunya virus in the community from a mathematical perspective. Fear can have dual effects: increasing fear levels enhances public awareness, promotes adherence to preventive measures, and encourages faster medical consultation by symptomatic individuals; however, excessive fear may lead to delays in hospitalization, increased chronic complications, and wider disease spread.


To examine these effects, a‏‎n ‎‎$‎‎11$ ‎‎$11$-compartmental mathematical model for virus transmission was developed, consisting of $8$ human subpopulations and $3$ vector (mosquito) subpopulations. The initial conditions were determined based on real data from Colombia in $2015$ and biological assumptions. The main model parameters were calibrated using weekly data on symptomatic cases.


The results indicate that the model successfully reproduces the epidemic trend and the dynamics of infected and chronic populations. Moreover, behavioral parameters such as $gamma_alpha$ and $q_s$ play a crucial role in regulating the burden on the healthcare system and determining the final disease load.‎‎‎‎‎‎‎‎‎‎‎‎
Keywords

bibitem{1} href{ https://www.who.int/news-room/fact-sheets/detail/chikungunya}{ https://www.who.int/news-room/fact-sheets/detail/chikungunya}
‎bibitem{2}‎ Robinson, M.C., 1955. An epidemic of virus disease in Southern Province, Tanganyika Territory, in 1952-53. I. Clinical features. {it Trans R Soc Trop Med Hyg, 49}(1), pp. 28-32. {doi:10.1016/0035-9203(55)90080-8}‎
bibitem{3}Tsetsarkin, K.A., Weaver, S.C., 2011. Sequential adaptive mutations enhance efficient vector switching by Chikungunya virus and its epidemic emergence. it{ PLoS Pathog, 7}(12). {doi:10.1371/journal.ppat.1002412}‎
bibitem{4} Ning, X., Xia. B, Wang. J., Gao. R., Ren. H., 2024. Host-adaptive mutations in Chikungunya virus genome, it{Virulence, 15}(1). {doi: 10.1080/21505594.2024.2401985}‎
bibitem{5} href{https://www.paho.org/en/topics/chikungunya}{https://www.paho.org/en/topics/chikungunya}‎
bibitem{6} Lusekelo, E., Helikumi, M., Kuznetsov, D., Mushayabasa, S., 2023. Dynamic modelling and optimal control analysis of afractional order chikungunya disease model with temperatur eeffects. it{Results in Control and Optimization, 10}. doi: 10.1016/j.rico.2023.100206‎
bibitem{7} Manore, C.A., Hickmann, K.S., Xu. S, Wearing, H.J., Hyman. J.M., (2014). Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus. it{Journal of Theoretical Biology 356}, pp. 174–191. ‎{doi: 10.1016/j.jtbi.2014.04.033}‎
bibitem{8} Olaniyi, S., Alade, T.O., Chuma, F.M., Ogunsola, A.W., Aderele, O.R., Abimbade, S.F., 2023. A fractional-order nonlinear model for a within-host chikungunya virus dynamics with adaptive immunity using Caputo derivative operator. it{Healthcare Analytics, 4},{doi: 10.1016/j.health.2023.100205}.‎
bibitem{9}‎ Wang, Y., Li. Y., Liu, L., Liu, X., 2022. Aperiodic Chikungunya model with virus mutation and transovarial transmission. it{Chaos, Solitons and Fractals 158}. {doi: 10.1016/j.chaos.2022.112002}‎
bibitem{10} Abboubakar, H., Guidzavaï, A.K., Yangla, J., Damakoa, I., Mouangue, R., 2021. Mathematical modeling and projections of a vector-borne disease with optimal control strategies: A case study of the Chikungunya in Chad. it{Chaos, Solitons and Fractals 150}. {doi:10.1016/j.chaos.2021.111197}‎
bibitem{11} Liu, X., Stechlinski, P., 2015. Application of control strategies to a seasonal model of chikungunya disease. it{Applied Mathematical Modelling 39}(12) pp. 3194-3220. {doi:10.1016/j.apm.2014.10.035}‎
bibitem{12} Jain, S., Chalishajar, D.N., 2023. Chikungunya transmission of mathematical model using the fractional derivative. it{Symmetry, 15}(4). {doi: 10.3390/sym15040952}‎
bibitem{13} Feng X., Huo, X., Tang, B., Tang, S., Wang, K., Wu, J., 2019. Modelling and analyzing virus mutation dynamics of Chikungunya outbreaks. it{Scientific Reports, 9}(2860). {doi: 10.1038/s41598-019-38792-4} ‎
bibitem{14} Parsamanesh, M.‎, Erfanian, M., 2018. ‎Global dynamics of an epidemic model with standard incidence rate and vaccination strategy‎. it{‎Chaos‎, ‎Solitons & Fractals, 117}, pp. 192-199. {doi:10.1016/j.chaos.2018.10.022}‎
bibitem{15} Parsamanesh, M.‎, Erfanian, M., Mehrshad, S., 2020. Stability and bifurcations in a discrete-time epidemic model with vaccination and vital dynamics. it{BMC Bioinformatics, 21}(525). {doi: 10.1186/s12859-020-03839-1}‎
bibitem{16} Parsamanesh, M.‎, Erfanian, M., 2021. Stability and bifurcations in a discrete-time SIVS model with saturated incidence rate. it{Chaos‎, ‎Solitons & Fractals, 150}. {doi:10.1016/j.chaos.2021.111178}‎
bibitem{17} Gholami, H.‎, Gachpazan, M., Erfanian, M.‎, 2025. ‎$‎‎SEI_aI_sQRS$ ‎‎‎epidemic model for COVID-19 by using compartmental analysis and numerical simulation. it{Comput‎. ‎Methods Differ‎. ‎Equ, 13}(2) pp. 592-607, {doi:10.22034/cmde.2024.58656.2482}.‎
bibitem{18} Gholami, H.‎, Gachpazan, M., Erfanian, M.‎, 2025. A three-layered compartmental‎, ‎model of Nipah virus transmission with analysis‎, it{Journal of Mathematical Modeling, ‎13}(2) ‎pp.‎ ‎445-466‎. ‎{doi: 10.22124/jmm.2025.28949.2577} ‎‎
bibitem{19} ‎G‎holami, H.‎, Gachpazan, M., Erfanian, M.‎, 2025. Mathematical modeling and dynamic analysis of Dengue fever‎: ‎Examining economic and psychological impacts and forecasting disease trends through 2030 – A case study of Nepal. it{Sci Rep 15}(10027) {doi: 10.1038/s41598-025-94527-8}‎
bibitem{20} ‎G‎holami, H.‎, Gachpazan, M., Erfanian, M.‎, 2025. An efficient mathematical model for the Outbreak of COVID-19 from the perspective of numerical analysis. it{ Iraqi Journal of Science}. {doi: 10.24996/ijs.2025.66.11.34}‎
bibitem{21} Driessche, P.V., Watmough, J., 2002. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. it{Mathematical biosciences, 180}. pp.29–48. {doi:10.1016/S0025-5564(02)00108-6}
‎bibitem{22}‎ Castillo-Chavez, C., Feng, Z., Huang, W., 2002. On the computation of R0 and its role in global stability. it{IMA Volumes in Mathematics and Its Applications, 125} pp. 229-250. ‎
bibitem{23}‎‎ Cardona-Ospina, J.A., Henao-SanMartin, V., Paniz-Mondolfi, A.E., Rodríguez-Morales, A.J., 2015. Mortality and fatality due to Chikungunya virus infection in Colombia. it{J. Clin. Virol, 70}, pp. 14–15. {doi: https://doi.org/10.1016/j.jcv.2015.07.001}‎
bibitem{24} Gutierrez, M.F., 2017. Personal Communication.‎
bibitem{25} Plan Nacional de respuesta frente a la introducción del virus de chikungunya en Colombia. Available online: href{https://www.minsalud.gov.co}{https://www.minsalud.gov.co}‎
bibitem{26} Censo Colombia 2005. Available online: href{https://www.dane.gov.co/files/censos/libroCenso2005nacional. pdf}{https://www.dane.gov.co/files/censos/libroCenso2005nacional. pdf}‎
bibitem{27} Golberg, D.E., 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. it{Addion Wesley: Boston, MA, USA}.‎
bibitem{28}‎ Lusekelo, E., Helikumi, M., Kuznetsov, D., Mushayabasa, S., 2023. Quantifying the potential impact of mass media campaigns on mitigating the spread of chikungunya virus during outbreaks in heterogeneous population. it{Informatics in Medicine Unlocked, 40}.{doi: 10.1016/j.imu.2023.101296} .
%‎bibitem{ref}Azarang‎, ‎A.‎, ‎2011‎. ‎The Persian Tarof in Mathematics‎. ‎{it The Mathematical Intelligencer‎, ‎33}(4)‎, ‎pp.1-1‎.
%‎doi:10.1007/s00283-011-9252-1‎

%‎bibitem {ref3} Gorjian‎, ‎I.‎, ‎Karamzadeh‎, ‎O.A.S‎. ‎and Namdari‎, ‎M.‎, ‎2015‎. ‎Morley’s theorem is no longer mysterious.{it The Mathematical Intelligencer‎, ‎37}‎, ‎pp.6-7‎. ‎doi:10.1007/s00283-015-9579-0‎
%‎bibitem{w} Ward‎, ‎M‎. ‎and Dilworth‎, ‎R.P.‎, ‎1939‎. ‎Residuated lattices‎. ‎textit{Trans‎. ‎Am‎. ‎Math‎. ‎Soc.}‎, ‎45‎, ‎pp.335--354‎. ‎doi‎: ‎10.1090/S0002-9947-1939-1501995-3‎
bibitem{29} Lusekelo, E., Helikumi, M., Kuznetsov, D., Mushayabasa, S., 2023. Dynamic modelling and optimal control analysis of a fractional order chikungunya disease model with temperature effects. it{Results in Control and Optimization, 10}.{doi:10.1016/j.rico.2023.100206}
bibitem{30} Liu, X., Wang, Y., Zhao, X.- Q., 2020. Dynamics of a periodic chikungunya model with temperature and rainfall effects. it{Communications in Nonlinear Science and Numerical Simulation, 90}. {doi: 10.1016/j.cnsns.2020.105409}