{"title":"具有感染捕食者的分数阶生态流行病学模型的全局稳定性:理论分析","authors":"M. Moustafa, F. Abdullah, S. Shafie, N. Amirsom","doi":"10.28919/cmbn/7977","DOIUrl":null,"url":null,"abstract":". A theoretical knowledge of the global stability of an eco-epidemiological model is not only important in itself but is also important in understanding the results of numerical simulations. In this paper the global stability of a fractional-order eco-epidemiological model with infected predator and harvesting is investigated using the Lyapunov function.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Global stability of a fractional-order eco-epidemiological model with infected predator: theoretical analysis\",\"authors\":\"M. Moustafa, F. Abdullah, S. Shafie, N. Amirsom\",\"doi\":\"10.28919/cmbn/7977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". A theoretical knowledge of the global stability of an eco-epidemiological model is not only important in itself but is also important in understanding the results of numerical simulations. In this paper the global stability of a fractional-order eco-epidemiological model with infected predator and harvesting is investigated using the Lyapunov function.\",\"PeriodicalId\":44079,\"journal\":{\"name\":\"Communications in Mathematical Biology and Neuroscience\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Mathematical Biology and Neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.28919/cmbn/7977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Mathematical Biology and Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28919/cmbn/7977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Global stability of a fractional-order eco-epidemiological model with infected predator: theoretical analysis
. A theoretical knowledge of the global stability of an eco-epidemiological model is not only important in itself but is also important in understanding the results of numerical simulations. In this paper the global stability of a fractional-order eco-epidemiological model with infected predator and harvesting is investigated using the Lyapunov function.
期刊介绍:
Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.