Dynamical analysis of the spread of African swine fever with the live pig price in China

Yihao Huang; Jing Li; Juan Zhang; Zhen Jin; Yihao Huang; Jing Li; Juan Zhang; Zhen Jin

doi:10.3934/mbe.2021403

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 6: 8123-8148. doi: 10.3934/mbe.2021403

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Research article

Dynamical analysis of the spread of African swine fever with the live pig price in China

1.
School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China
2.
Complex Systems Research Center, Shanxi University, Taiyuan 030006, China
3.
School of Applied Mathematics, Shanxi University of Finance and Economics, Taiyuan 030006, China

Academic Editor: Haiyan Wang

Received: 30 June 2021 Accepted: 12 September 2021 Published: 17 September 2021

Pork makes up the highest proportion of household expenditure on meat in China and supply and demand have been basically stable in the past decade. However, the catastrophic outbreak of African swine fever (ASF) in August 2018 disrupted the balance and reduced the national herd by half within six months. The consequence was a gross lack of supply to the market and consumer demand was unable to be met. Accordingly, live pig prices rose sharply from 2019. In order to assess the influence of ASF on the price of the live pigs, we use a price function to characterize the relationship between price of the live pigs and the nation's pig stock, and then establish a time delay ASF epidemic dynamical model with the price function. By analyzing the dynamical behaviors of the model, we calculate the basic reproductive number, discuss the stability of equilibrium, and obtain the critical conditions for Hopf bifurcation. The model reasonableness is confirmed by carrying out data fitting and parameter estimation based on price data of the live pigs, the pig stock data and the outbreak data of ASF. By performing sensitivity analysis, we intuitively show the impact of ASF on the price of live pigs and the pig stocks, and assess the key factors affecting the outbreak of ASF. The conclusion is drawn that, with the control measures adopted by related government department in China, the basic reproductive number ($ R_0 = 0.6005 $) means that the ASF epidemic has been controlled. Moreover, the price of the live pig increases linearly with $ R_0 $, while the effect of the number of infected pigs on the subsequent price is non-linear related. Our findings suggest that society and the government should pay more attention to the prevention of animal disease epidemics.
- African swine fever,
- price function,
- the basic reproductive number,
- Hopf bifurcation,
- sensitivity analysis
Citation: Yihao Huang, Jing Li, Juan Zhang, Zhen Jin. Dynamical analysis of the spread of African swine fever with the live pig price in China[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 8123-8148. doi: 10.3934/mbe.2021403

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Abstract

Pork makes up the highest proportion of household expenditure on meat in China and supply and demand have been basically stable in the past decade. However, the catastrophic outbreak of African swine fever (ASF) in August 2018 disrupted the balance and reduced the national herd by half within six months. The consequence was a gross lack of supply to the market and consumer demand was unable to be met. Accordingly, live pig prices rose sharply from 2019. In order to assess the influence of ASF on the price of the live pigs, we use a price function to characterize the relationship between price of the live pigs and the nation's pig stock, and then establish a time delay ASF epidemic dynamical model with the price function. By analyzing the dynamical behaviors of the model, we calculate the basic reproductive number, discuss the stability of equilibrium, and obtain the critical conditions for Hopf bifurcation. The model reasonableness is confirmed by carrying out data fitting and parameter estimation based on price data of the live pigs, the pig stock data and the outbreak data of ASF. By performing sensitivity analysis, we intuitively show the impact of ASF on the price of live pigs and the pig stocks, and assess the key factors affecting the outbreak of ASF. The conclusion is drawn that, with the control measures adopted by related government department in China, the basic reproductive number ($ R_0 = 0.6005 $) means that the ASF epidemic has been controlled. Moreover, the price of the live pig increases linearly with $ R_0 $, while the effect of the number of infected pigs on the subsequent price is non-linear related. Our findings suggest that society and the government should pay more attention to the prevention of animal disease epidemics.

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