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Modeling Crimean-Congo Hemorrhagic fever with behavioral awareness: Mathematical analysis via Chebyshev spectral collocation solutions Cover

Modeling Crimean-Congo Hemorrhagic fever with behavioral awareness: Mathematical analysis via Chebyshev spectral collocation solutions

By:   
Open Access
|Jun 2026

Figures & Tables

Fig. 1

Transmission dynamics of CCHF.

Fig. 2

Weekly infections in Iraq during 2023 presented to provide epidemiological context and motivate the modeling assumptions [6].

Fig. 3

Weekly reported CCHF cases in Iraq, shown to illustrate the seasonal outbreak pattern that motivates the transmission model developed in this work.

Fig. 4

Time evolution of the susceptible tick population ST(t) and infected tick population IT(t) (left panels), and their corresponding pointwise absolute errors (right panels), computed by the proposed QLM-Chebyshev scheme.

Fig. 5

Time evolution of SL(t) and EL(t) (left panels), and their corresponding pointwise absolute errors (right panels), computed by the proposed QLM-Chebyshev scheme.

Fig. 6

Time evolution of IL(t) and SH(t) (left panels), and their corresponding pointwise absolute errors (right panels), computed by the proposed QLM-Chebyshev scheme.

Fig. 7

Time evolution of EH(t) and IH(t) (left panels), and their corresponding pointwise absolute errors (right panels), computed by the proposed QLM-Chebyshev scheme.

Fig. 8

Time evolution of RH(t) and A(t) (left panels), and their corresponding pointwise absolute errors (right panels), computed by the proposed QLM-Chebyshev scheme.

Fig. 9

Focused time evolution of SH(t) and IH(t) computed by the proposed QLM-Chebyshev scheme.

Fig. 10

Residual error for ST, IT and SL.

Fig. 11

Residual error for EL, IL and SH.

Fig. 12

Residual error for EH, IH and RH.

Initial conditions and parameter values for model 1_

ParameterValueParameterValue
NT0\rho_i100000NL0\sigma_i2000
NH0\tau_i10000μT0.0027
μL5.48 × 10−04μH3.91 × 10−05
ΛT54.79ΛL1.095
ΛH0.39σH1/5
γH1/8δH0.02
ωR0.05σL1/4
γL1/5βTL0.6
βLT0.4βTH0.15
βLH0.10βHH0.05
kA5.0η12.0
η20.5ωA0.10

Error norms for different state variables at different values of L_

VariableL = 8L = 16L = 32L = 64
ST3.942 × 10−57.661 × 10−72.916 × 10−106.411 × 10−10
IT3.942 × 10−57.661 × 10−72.849 × 10−106.834 × 10−10
SL4.536 × 10−59.096 × 10−74.192 × 10−107.547 × 10−10
EL1.563 × 10−53.058 × 10−74.842 × 10−94.842 × 10−9
IL1.409 × 10−52.827 × 10−75.817 × 10−101.502 × 10−9
SH6.783 × 10−61.421 × 10−73.452 × 10−99.442 × 10−9
EH2.558 × 10−64.950 × 10−82.719 × 10−102.719 × 10−10
IH2.538 × 10−65.004 × 10−85.485 × 10−111.067 × 10−9
RH2.977 × 10−69.368 × 10−81.921 × 10−104.540 × 10−10
A1.584 × 10−43.094 × 10−61.021 × 10−81.021 × 10−8

Description of the state variables in the CCHF transmission model_

State variableDescription
ST(t)Susceptible tick population.
IT(t)Infected tick population capable of transmitting CCHF.
SL(t)Susceptible livestock population.
EL(t)Exposed livestock population in the latent stage.
IL(t)Infectious livestock population.
SH(t)Susceptible human population.
EH(t)Exposed human population during the incubation period.
IH(t)Infectious human population.
RH(t)Recovered human population with temporary immunity.
A(t)Level of public awareness and behavioral response.

Description of the parameters used in the CCHF transmission model_

ParameterDescription
ΛT, ΛL, ΛHRecruitment rates of ticks, livestock, and humans.
μT, μL, μHNatural mortality rates.
βTLTransmission rate from infected ticks to livestock.
βLTTransmission rate from infected livestock to ticks.
βTHTransmission rate from infected ticks to humans.
βLHTransmission rate from infected livestock to humans.
βHHHuman-to-human transmission rate.
σL, σHProgression rates from exposed to infectious classes.
γL, γHRecovery rates of livestock and humans.
δHDisease-induced mortality rate in humans.
ωRRate of loss of immunity in recovered humans.
η1, η2Awareness generation rates.
ωANatural decay rate of awareness.
kAStrength of awareness-induced behavioral response.

Residual Error norms for different state variables at increasing values of L_

VariableL = 8L = 16L = 32L = 64
ST1.100 × 10−52.245 × 10−75.839 × 10−125.843 × 10−12
IT1.100 × 10−52.245 × 10−75.838 × 10−125.840 × 10−12
SL5.670 × 10−51.490 × 10−65.841 × 10−125.843 × 10−12
EL3.768 × 10−51.040 × 10−65.842 × 10−125.843 × 10−12
IL1.631 × 10−53.916 × 10−75.842 × 10−125.840 × 10−12
SH1.250 × 10−62.846 × 10−85.844 × 10−125.841 × 10−12
EH1.165 × 10−62.007 × 10−85.843 × 10−125.841 × 10−12
IH7.326 × 10−88.928 × 10−95.842 × 10−125.893 × 10−12
RH9.888 × 10−94.579 × 10−105.840 × 10−125.846 × 10−12
A2.373 × 10−64.574 × 10−85.857 × 10−125.897 × 10−12
Language: English
Page range: 373 - 404
Submitted on: Jan 23, 2026
Accepted on: May 22, 2026
Published on: Jun 2, 2026
Published by: Harran University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Waleed Adel, published by Harran University
This work is licensed under the Creative Commons Attribution 4.0 License.