Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment
Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account...
Ausführliche Beschreibung
Autor*in: |
Li, Jiao [verfasserIn] Nie, Linfei [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Qualitative theory of dynamical systems - Springer International Publishing, 1999, 23(2024), 5 vom: 18. Mai |
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Übergeordnetes Werk: |
volume:23 ; year:2024 ; number:5 ; day:18 ; month:05 |
Links: |
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DOI / URN: |
10.1007/s12346-024-01057-1 |
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Katalog-ID: |
SPR055908284 |
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520 | |a Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. | ||
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650 | 4 | |a Basic reproduction number |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Nie, Linfei |e verfasserin |4 aut | |
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10.1007/s12346-024-01057-1 doi (DE-627)SPR055908284 (SPR)s12346-024-01057-1-e DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Li, Jiao verfasserin aut Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 Nie, Linfei verfasserin aut Enthalten in Qualitative theory of dynamical systems Springer International Publishing, 1999 23(2024), 5 vom: 18. Mai (DE-627)582026512 (DE-600)2457088-6 1662-3592 nnns volume:23 year:2024 number:5 day:18 month:05 https://dx.doi.org/10.1007/s12346-024-01057-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2024 5 18 05 |
spelling |
10.1007/s12346-024-01057-1 doi (DE-627)SPR055908284 (SPR)s12346-024-01057-1-e DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Li, Jiao verfasserin aut Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 Nie, Linfei verfasserin aut Enthalten in Qualitative theory of dynamical systems Springer International Publishing, 1999 23(2024), 5 vom: 18. Mai (DE-627)582026512 (DE-600)2457088-6 1662-3592 nnns volume:23 year:2024 number:5 day:18 month:05 https://dx.doi.org/10.1007/s12346-024-01057-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2024 5 18 05 |
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10.1007/s12346-024-01057-1 doi (DE-627)SPR055908284 (SPR)s12346-024-01057-1-e DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Li, Jiao verfasserin aut Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 Nie, Linfei verfasserin aut Enthalten in Qualitative theory of dynamical systems Springer International Publishing, 1999 23(2024), 5 vom: 18. Mai (DE-627)582026512 (DE-600)2457088-6 1662-3592 nnns volume:23 year:2024 number:5 day:18 month:05 https://dx.doi.org/10.1007/s12346-024-01057-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2024 5 18 05 |
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10.1007/s12346-024-01057-1 doi (DE-627)SPR055908284 (SPR)s12346-024-01057-1-e DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Li, Jiao verfasserin aut Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 Nie, Linfei verfasserin aut Enthalten in Qualitative theory of dynamical systems Springer International Publishing, 1999 23(2024), 5 vom: 18. Mai (DE-627)582026512 (DE-600)2457088-6 1662-3592 nnns volume:23 year:2024 number:5 day:18 month:05 https://dx.doi.org/10.1007/s12346-024-01057-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2024 5 18 05 |
allfieldsSound |
10.1007/s12346-024-01057-1 doi (DE-627)SPR055908284 (SPR)s12346-024-01057-1-e DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Li, Jiao verfasserin aut Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 Nie, Linfei verfasserin aut Enthalten in Qualitative theory of dynamical systems Springer International Publishing, 1999 23(2024), 5 vom: 18. Mai (DE-627)582026512 (DE-600)2457088-6 1662-3592 nnns volume:23 year:2024 number:5 day:18 month:05 https://dx.doi.org/10.1007/s12346-024-01057-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2024 5 18 05 |
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Enthalten in Qualitative theory of dynamical systems 23(2024), 5 vom: 18. Mai volume:23 year:2024 number:5 day:18 month:05 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reaction-diffusion model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Non-local delayed and spatial heterogeneity</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Basic reproduction number</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Equilibrium states</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stability and uniformly persistence</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nie, Linfei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Qualitative theory of dynamical systems</subfield><subfield code="d">Springer International Publishing, 1999</subfield><subfield code="g">23(2024), 5 vom: 18. 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Li, Jiao |
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Li, Jiao ddc 510 ssgn 11 misc Reaction-diffusion model misc Non-local delayed and spatial heterogeneity misc Basic reproduction number misc Equilibrium states misc Stability and uniformly persistence Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment |
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510 VZ 11 ssgn Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment Reaction-diffusion model (dpeaa)DE-He213 Non-local delayed and spatial heterogeneity (dpeaa)DE-He213 Basic reproduction number (dpeaa)DE-He213 Equilibrium states (dpeaa)DE-He213 Stability and uniformly persistence (dpeaa)DE-He213 |
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Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment |
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Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment |
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global dynamics analysis of non-local delayed reaction-diffusion avian influenza model with vaccination and multiple transmission routes in the spatial heterogeneous environment |
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Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment |
abstract |
Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract In order to reveal the transmission dynamics of Avian influenza and explore effective control measures, we develop a non-local delayed reaction-diffusion model of Avian influenza with vaccination and multiple transmission routes in the heterogeneous spatial environment, taking into account the incubation period of Avian influenza in humans and poultry. Firstly, the well-posedness of model is obtained which includes the existence, uniform boundedness and the existence of global attractor. Further, the basic reproduction number $${\mathcal {R}}_0 $$ of this model is calculated by the definition of the spectral radius of the next generation operator, and its variational form is also derived. Further, the global dynamics of the model is established based on the biological significance of $${\mathcal {R}}_0 $$. To be more precise, if $${\mathcal {R}}_0<1$$, the disease-free steady state is globally asymptotically stable (i.e., the disease is extinct), while if $${\mathcal {R}}_0>1$$, the disease is uniformly persistent and model admits at least one endemic steady state. In addition, by constructing suitable Lyapunov functionals, we achieve the global asymptotic stability of the disease-free and endemic steady states of this model in spatially homogeneous. Finally, some numerical simulations illustrate the main theoretical results, and discuss the sensitivity of $${\mathcal {R}}_0 $$ on the model parameters and the influences of non-local delayed and diffusion rates on the transmission of Avian influenza. The theoretical results and numerical simulations show that prolonging the incubation period, controlling the movement of infected poultry, and regular disinfecting the environment are all effective ways to prevent Avian influenza outbreaks. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
collection_details |
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container_issue |
5 |
title_short |
Global Dynamics Analysis of Non-Local Delayed Reaction-Diffusion Avian Influenza Model with Vaccination and Multiple Transmission Routes in the Spatial Heterogeneous Environment |
url |
https://dx.doi.org/10.1007/s12346-024-01057-1 |
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up_date |
2024-08-21T04:49:39.837Z |
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|
score |
7.167657 |