Modeling Lyme Disease Transmission
Overview
Authors
Affiliations
Lyme disease, a typical tick-borne disease, imposes increasing global public health challenges. A growing body of theoretical models have been proposed to better understand various factors determining the disease risk, which not only enrich our understanding on the ecological cycle of disease transmission but also promote new theoretical developments on model formulation, analysis and simulation. In this paper, we provide a review about the models and results we have obtained recently on modeling and analyzing Lyme disease transmission, with the purpose to highlight various aspects in the ecological cycle of disease transmission to be incorporated, including the growth of ticks with different stages in the life cycle, the seasonality, host diversity, spatial disease pattern due to host short distance movement and bird migration, co-infection with other tick-borne pathogens, and climate change impact.
Cobos M, Winters T, Martinez I, Yao Y, Xiao X, Ghosh A PLoS One. 2024; 19(10):e0304427.
PMID: 39466807 PMC: 11515986. DOI: 10.1371/journal.pone.0304427.
A hybrid Lagrangian-Eulerian model for vector-borne diseases.
Gao D, Yuan X J Math Biol. 2024; 89(2):16.
PMID: 38890206 PMC: 11189357. DOI: 10.1007/s00285-024-02109-5.
Husar K, Pittman D, Rajala J, Mostafa F, Allen L Bull Math Biol. 2024; 86(3):25.
PMID: 38294562 DOI: 10.1007/s11538-023-01248-y.
Vector-borne disease models with Lagrangian approach.
Gao D, Cao L J Math Biol. 2024; 88(2):22.
PMID: 38294559 DOI: 10.1007/s00285-023-02044-x.
Nykytyuk S, Sverstiuk A, Klymnyuk S, Pyvovarchuk D, Palaniza Y Reumatologia. 2023; 61(5):345-352.
PMID: 37970115 PMC: 10634403. DOI: 10.5114/reum/173115.