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. 2024 Jun 18;89(2):16.
doi: 10.1007/s00285-024-02109-5.

A hybrid Lagrangian-Eulerian model for vector-borne diseases

Affiliations

A hybrid Lagrangian-Eulerian model for vector-borne diseases

Daozhou Gao et al. J Math Biol. .

Abstract

In this paper, a multi-patch and multi-group vector-borne disease model is proposed to study the effects of host commuting (Lagrangian approach) and/or vector migration (Eulerian approach) on disease spread. We first define the basic reproduction number of the model, R 0 , which completely determines the global dynamics of the model system. Namely, if R 0 1 , then the disease-free equilibrium is globally asymptotically stable, and if R 0 > 1 , then there exists a unique endemic equilibrium which is globally asymptotically stable. Then, we show that the basic reproduction number has lower and upper bounds which are independent of the host residence times matrix and the vector migration matrix. In particular, nonhomogeneous mixing of hosts and vectors in a homogeneous environment generally increases disease persistence and the basic reproduction number of the model attains its minimum when the distributions of hosts and vectors are proportional. Moreover, R 0 can also be estimated by the basic reproduction numbers of disconnected patches if the environment is homogeneous. The optimal vector control strategy is obtained for a special scenario. In the two-patch and two-group case, we numerically analyze the dependence of the basic reproduction number and the total number of infected people on the host residence times matrix and illustrate the optimal vector control strategy in homogeneous and heterogeneous environments.

Keywords: Basic reproduction number; Eulerian approach; Lagrangian approach; Optimal vector control; Population movement; Vector–borne disease.

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Conflict of interest statement

The authors declare that they have no Conflict of interest. This manuscript has no associated data.

Figures

Fig. 1
Fig. 1
Flow chart of the Lagrangian–Eulerian vector-borne disease model
Fig. 2
Fig. 2
Contour plots of the basic reproduction number R0 of model (5.1) in terms of the residence time proportions p11 and p22 under two homogeneous environments. The black dashed lines are L1 and L2 on which R0(p11,p22)=R0(1/1)
Fig. 3
Fig. 3
Contour plots of the basic reproduction number R0 of model (5.1) in terms of the residence time proportions p11 and p22 under four heterogeneous environments. The black dashed curves represent R0(p11,p22)=ζ=R0(p11,1-p11)
Fig. 4
Fig. 4
Contour plots of the total number of infected hosts I1h+I2h versus the residence time proportions p11 and p22 in a homogeneous and b heterogeneous environments
Fig. 5
Fig. 5
The control reproduction number Rc of model (4.5) versus the number of vectors being culled from the first patch, X, when the total number of vectors being culled is a η=5000, b η=3000
Fig. 6
Fig. 6
The optimal number of vectors being culled in patch 1, X, versus the total number of vectors being culled, η, in a homogeneous and b heterogeneous environment

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