COMPARING THE EFFICIENCY OF WOLBACHIA DRIVEN AEDES MOSQUITO SUPPRESSION STRATEGIES
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Publication:5859334
DOI10.11948/2019.211zbMath1460.92203OpenAlexW2914762037MaRDI QIDQ5859334
Bo Zheng, Mugen Huang, Linchao Hu
Publication date: 16 April 2021
Published in: Journal of Applied Analysis & Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.11948/2019.211
Related Items (9)
A discrete-time mathematical model of stage-structured mosquito populations ⋮ Discrete dynamical models on Wolbachia infection frequency in mosquito populations with biased release ratios ⋮ \textit{Wolbachia} spreading dynamics in \textit{Nilaparvata lugens} with two strains ⋮ Modeling \textit{Wolbachia} diffusion in mosquito populations by discrete competition model ⋮ Stability analysis in a mosquito population suppression model ⋮ Existence and uniqueness of periodic orbits in a discrete model on \textit{Wolbachia} infection frequency ⋮ A stage structured model of delay differential equations for \textit{Aedes} mosquito population suppression ⋮ Existence and stability of periodic solutions in a mosquito population suppression model with time delay ⋮ Analysis of impulse release of \textit{Wolbachia} to control \textit{Nilaparvata lugens}
Cites Work
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- Qualitative analysis for a Wolbachia infection model with diffusion
- Assessing the efficiency of \textit{Wolbachia} driven \textit{Aedes} mosquito suppression by delay differential equations
- Wolbachia spreading dynamics in mosquitoes with imperfect maternal transmission
- The threshold infection level for \textit{Wolbachia} invasion in random environments
- \textit{Wolbachia} spread dynamics in multi-regimes of environmental conditions
- Wolbachia infection dynamics by reaction-diffusion equations
- Geometric Stability Switch Criteria in Delay Differential Systems with Delay Dependent Parameters
- ModelingWolbachiaSpread in Mosquitoes Through Delay Differential Equations
- Modeling Mosquito Population Suppression Based on Delay Differential Equations
- An Introduction to Delay Differential Equations with Applications to the Life Sciences
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