Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model

Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real...
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Autor*in:	Jianguo Sun [verfasserIn] Miaomiao Gao [verfasserIn] Daqing Jiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	stochastic epidemic model threshold dynamics infection rate extinction ergodic stationary distribution

Übergeordnetes Werk:	In: Fractal and Fractional - MDPI AG, 2018, 6(2022), 5, p 245
Übergeordnetes Werk:	volume:6 ; year:2022 ; number:5, p 245

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/fractalfract6050245

Katalog-ID:	DOAJ043716113

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allfieldsSound	10.3390/fractalfract6050245 doi (DE-627)DOAJ043716113 (DE-599)DOAJ8d109a8d93634028a00cf5255b33a574 DE-627 ger DE-627 rakwb eng QC310.15-319 QA1-939 QA299.6-433 Jianguo Sun verfasserin aut Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system. stochastic epidemic model threshold dynamics infection rate extinction ergodic stationary distribution Thermodynamics Mathematics Analysis Miaomiao Gao verfasserin aut Daqing Jiang verfasserin aut In Fractal and Fractional MDPI AG, 2018 6(2022), 5, p 245 (DE-627)897435656 (DE-600)2905371-7 25043110 nnns volume:6 year:2022 number:5, p 245 https://doi.org/10.3390/fractalfract6050245 kostenfrei https://doaj.org/article/8d109a8d93634028a00cf5255b33a574 kostenfrei https://www.mdpi.com/2504-3110/6/5/245 kostenfrei https://doaj.org/toc/2504-3110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2022 5, p 245
language	English
source	In Fractal and Fractional 6(2022), 5, p 245 volume:6 year:2022 number:5, p 245
sourceStr	In Fractal and Fractional 6(2022), 5, p 245 volume:6 year:2022 number:5, p 245
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	stochastic epidemic model threshold dynamics infection rate extinction ergodic stationary distribution Thermodynamics Mathematics Analysis
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authorswithroles_txt_mv	Jianguo Sun @@aut@@ Miaomiao Gao @@aut@@ Daqing Jiang @@aut@@
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author	Jianguo Sun
spellingShingle	Jianguo Sun misc QC310.15-319 misc QA1-939 misc QA299.6-433 misc stochastic epidemic model misc threshold dynamics misc infection rate misc extinction misc ergodic stationary distribution misc Thermodynamics misc Mathematics misc Analysis Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
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topic_title	QC310.15-319 QA1-939 QA299.6-433 Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model stochastic epidemic model threshold dynamics infection rate extinction ergodic stationary distribution
topic	misc QC310.15-319 misc QA1-939 misc QA299.6-433 misc stochastic epidemic model misc threshold dynamics misc infection rate misc extinction misc ergodic stationary distribution misc Thermodynamics misc Mathematics misc Analysis
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title	Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
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title_sort	threshold dynamics and the density function of the stochastic coronavirus epidemic model
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title_auth	Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
abstract	Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system.
abstractGer	Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system.
abstract_unstemmed	Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system.
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title_short	Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
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Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model

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