- Mathematical and Theoretical Epidemiology and Ecology Models
- COVID-19 epidemiological studies
- Complex Network Analysis Techniques
- Evolution and Genetic Dynamics
- Opinion Dynamics and Social Influence
- COVID-19 Pandemic Impacts
- Brucella: diagnosis, epidemiology, treatment
- Smart Grid Energy Management
- SARS-CoV-2 and COVID-19 Research
- Fractional Differential Equations Solutions
- Traffic and Road Safety
- Traffic control and management
- Optimal Power Flow Distribution
- Mental Health Research Topics
- Viral Infections and Outbreaks Research
- Ecosystem dynamics and resilience
- Electric Vehicles and Infrastructure
- Nonlinear Dynamics and Pattern Formation
- Evolutionary Game Theory and Cooperation
- Mosquito-borne diseases and control
- Burkholderia infections and melioidosis
- E-commerce and Technology Innovations
- Transportation Planning and Optimization
- Animal Disease Management and Epidemiology
- Microgrid Control and Optimization
North University of China
2014-2025
Ministry of Transport
2021-2024
Northeastern University
2024
Tianjin Research Institute of Water Transport Engineering
2021-2024
Huazhong Agricultural University
2023
Development Research Center
2023
Shanxi University
2017-2020
Jinan University
2020
Taiyuan University of Science and Technology
2020
Jiangxi University of Finance and Economics
2020
In New York City, the situation of COVID-19 is so serious that it has caused hundreds thousands people to be infected due its strong infectivity. The desired effect wearing masks by public not ideal, though increasingly recommended WHO. order reveal potential mask use, we posed a dynamical model with effective coverage face assess impact use on transmission. We obtained basic reproduction number R0 which determined global dynamics. According implement policies in divided transmission three...
We introduce a control scheme able to steer the evolution of networked reaction-diffusion systems toward any intended dynamics. Specifically, we consider simplicial complexes that can be collapsed into weighted complex networks by leveraging linear relationship between Laplacian matrix and each order simplex. The method integrates reaction network-based diffusion controls and, as far effectiveness cost are concerned, features significantly improved performance over traditional...
Allee effect, as one of the research hotspots in ecology and conservation biology, extremely easily affects distribution population space, especially for low-density population. In ecosystem, spatial predator is more vulnerable to effect since density always smaller than that prey, but relevant attention paid it few. this paper, we establish analyze a predator–prey system incorporating on Theoretically, use multi-scale analysis derive amplitude equation obtain different Turing patterns under...
Networked Turing patterns often manifest as groups of nodes distributed on either side the homogeneous equilibrium, exhibiting high and low density. These pattern formations are significantly influenced by network topological characteristics, such average degree. However, impact clustering them remains inadequately understood. Here, we investigate relationship between networked using classical prey–predator models. Our findings reveal that when density completely both sides there is a linear...
Brucellosis, a zoonotic disease, has brought about enormous human suffering and tremendous economic burden to animal husbandry in China. However, Inner Mongolia is the hardest hit area of brucellosis A total 132,037 cases have been reported from 2010 2020. Endogenous mechanisms spreading across till remains be revealed. We propose periodic epidemic model investigate effect parameter changes on epidemics. Then we evaluate basic reproduction number [Formula: see text] analyze global dynamics...
The ongoing outbreak of the novel coronavirus pneumonia (also known as COVID-19) has triggered a series stringent control measures in China, such city closure, traffic restrictions, contact tracing and household quarantine. These containment efforts often lead to changes pattern among individuals population. Many existing compartmental epidemic models fail account for effects structure. In this paper, we devised pairwise model analyze COVID-19 China based on confirmed cases reported during...
Current research on pattern formations in networked reaction–diffusion (RD) systems predominantly focuses the impacts of diffusion heterogeneity between nodes, often overlooking contact individuals within nodes reaction terms. In this paper, we establish a RD model incorporating infection through higher-order interaction simplicial complexes Through theoretical and numerical analysis, find that these interactions may induce Turing instability system. Notably, relationship size range average...
Demographics have significant effects on disease spread in populations and the topological evolution of underlying networks that represent populations. In context network-based epidemic modeling, Markov chain-based approach pairwise approximation are two powerful tools — former can capture stochastic transmission dynamics latter characterize dynamical correlations each pair connected individuals. However, to our best knowledge, study spreading relying these techniques is still lacking. To...
<abstract> In this paper, we present an SEII$ { _\rm a} $HR epidemic model to study the influence of recessive infection and isolation in spread COVID-19. We first prove that infection-free equilibrium is globally asymptotically stable with condition $ R_0 < 1 positive uniformly persistent when > $. By using COVID-19 data India, then give numerical simulations illustrate our results carry out some sensitivity analysis. know asymptomatic infections will affect disease quarantine rate...
Since Omicron began to spread in China, Shanghai has become one of the cities with more severe outbreaks. Under comprehensive consideration vaccine coverage rate, number Fangcang shelter hospital beds and designated Shanghai, this paper established a deterministic compartmental model used Nelder-Mead Simplex Direct Search Algorithm chi-square values estimate parameters. we calculate ℛ0 = 3.6429 when is relatively tight second stage 0.4974 fifth there are enough both hospital. Then perform...