Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116795
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorSun, Ben_US
dc.creatorGao, Den_US
dc.creatorWang, Xen_US
dc.creatorLou, Yen_US
dc.date.accessioned2026-01-20T06:13:05Z-
dc.date.available2026-01-20T06:13:05Z-
dc.identifier.issn0025-5564en_US
dc.identifier.urihttp://hdl.handle.net/10397/116795-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.en_US
dc.rights© 2025. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Sun, B., Gao, D., Wang, X., & Lou, Y. (2025). Infection-induced host extinction: Deterministic and stochastic models for environmentally transmitted pathogens. Mathematical Biosciences, 380, 109374 is available at https://doi.org/10.1016/j.mbs.2025.109374.en_US
dc.subjectDynamical analysisen_US
dc.subjectEnvironmentally transmitted pathogensen_US
dc.subjectHost extinctionen_US
dc.subjectStochastic modelen_US
dc.titleInfection-induced host extinction : deterministic and stochastic models for environmentally transmitted pathogensen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume380en_US
dc.identifier.doi10.1016/j.mbs.2025.109374en_US
dcterms.abstractAmphibian decline and extinction have been observed on a global scale, highlighting the urgency of identifying the underlying factors. This issue has long been recognized as a critical concern in conservation ecology and continues to receive significant attention. Pathogen infection, in particular the chytrid fungus Batrachochytrium dendrobatidis, is postulated as a key factor contributing to the decline of certain species within specific regions. In this paper, we focus on identifying the pathogen characteristics that can drive host species extinction. Both deterministic and stochastic modeling frameworks based on a susceptible-infectious-pathogen epidemic model are proposed, to assess the influence of pathogen infection on species decline and extinction. Various indices, including the reproduction numbers of the host species, the replication of the pathogen, and the transmission of the pathogen are derived. Theoretical analysis includes the stability of equilibria, the extinction and persistence of host species in the deterministic model, and the evaluation of extinction probability and average extinction time in the stochastic model. Additionally, numerical simulations are conducted to quantify the effects of various factors on host decline and extinction, as well as the probabilities of extinction. We find two crucial conditions for a pathogen to drive host extinction: (i) the pathogen's self-reproduction capacity in the environment, and (ii) the pathogen's impact on the fecundity and survival of the infected host. These findings provide insights that could aid in the design and implementation of effective conservation strategies for amphibians.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematical biosciences, Feb. 2025, v. 380, 109374en_US
dcterms.isPartOfMathematical biosciencesen_US
dcterms.issued2025-02-
dc.identifier.scopus2-s2.0-85215250547-
dc.identifier.pmid39824378-
dc.identifier.eissn1879-3134en_US
dc.identifier.artn109374en_US
dc.description.validate202601 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG000738/2025-12-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextFunding text 1: Yijun Lou was supported in part by the NSF of China (12071393) and the Hong Kong Research Grants Council (15304821, C5079-21GF). Daozhou Gao was partially funded by the CSU Office of Research, USA through a startup grant. Xueying Wang was supported in part by the Simons Foundation (#960466).; Funding text 2: Yijun Lou was supported in part by the NSF of China ( 12071393 ) and the General Research Fund from The Hong Kong Research Grants Council ( 15304821 ). Daozhou Gao was partially funded by the CSU Office of Research through a startup grant.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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