Individual-Based Modelling of Animal Brucellosis Spread with the Use of Complex Networks

IF 15.3

International Journal of Network Dynamics and Intelligence Pub Date : 2022-12-22 DOI:10.53941/ijndi0101011

E. Pinto, E. G. Nepomuceno, A. Campanharo

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引用次数: 20

Abstract

Article Individual-Based Modelling of Animal Brucellosis Spread with the Use of Complex Networks E. R. Pinto 1, E. G. Nepomuceno 2,*, and A. S. L. O. Campanharo 1 1 Department of Biostatistics, Institute of Biosciences São Paulo State University, Botucatu, São Paulo 18618-970, Brazil 2 Department of Electronic Engineering and Centre for Ocean Energy Research, Maynooth University, Maynooth, Ireland * Correspondence: erivelton.nepomuceno@mu.ie Received: 12 October 2022 Accepted: 23 November 2022 Published: 22 December 2022 Abstract: The principal purpose of this work was to study the spread of brucellosis in the state of São Paulo with the help of the complex network theory and to propose control measures for its eradication. For this, the scale-free model of complex networks, widely known in the literature, was used. The effect of vaccination was verified in each of the municipalities in the state of São Paulo and it was observed that when heterogeneity is not taken into account, vaccination becomes ineffective for the eradication of the disease.

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基于个体的动物布鲁氏菌病传播模型与复杂网络的使用

基于个体的动物布鲁氏菌病传播模型与复杂网络的使用。R. Pinto 1, E. G. Nepomuceno 2，*， and A. S. L. Campanharo 11巴西圣保罗州立大学生物科学研究所生物统计学系，巴西圣保罗18618-970 2爱尔兰梅努斯大学电子工程系和海洋能源研究中心，爱尔兰梅努斯*通讯:erivelton.nepomuceno@mu.ie收稿:2022年10月12日接收:2022年11月23日出版:摘要:本工作的主要目的是借助复杂网络理论研究圣保罗州布鲁氏菌病的传播，并提出根除其控制措施。为此，使用了文献中广为人知的复杂网络的无标度模型。在圣保罗州的每个市都核实了疫苗接种的效果，并观察到，如果不考虑异质性，疫苗接种对根除该疾病无效。

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International Journal of Network Dynamics and Intelligence

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