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dc.contributor.authorRodriguez, Jorge P.en_US
dc.contributor.authorLiang, Yu-Haoen_US
dc.contributor.authorHuang, Yu-Jheen_US
dc.contributor.authorJuang, Jonqen_US
dc.date.accessioned2018-08-21T05:53:24Z-
dc.date.available2018-08-21T05:53:24Z-
dc.date.issued2018-02-01en_US
dc.identifier.issn1054-1500en_US
dc.identifier.urihttp://dx.doi.org/10.1063/1.4996807en_US
dc.identifier.urihttp://hdl.handle.net/11536/144649-
dc.description.abstractWe propose a fully cooperative coinfection model in which singly infected individuals are more likely to acquire a second disease than susceptible ones and doubly infected individuals are also assumed to be more contagious than singly infected ones. The dynamics of such a fully cooperative coinfection model is investigated through the well-mixed approach. In particular, discontinuous outbreak transitions from the disease free state or the low prevalence state to the high prevalence state can be separately observed as a disease transmission rate crosses a threshold alpha(o) from the below when the epidemic is still in the early stages. Moreover, discontinuous eradications from the high prevalence state to the low prevalence or disease free state are also separately seen as the transmission rate reaches a threshold alpha(e)(< alpha(o)) from the above when the outbreak occurs. Such phenomena constitute three types of hysteresis, where only one type has been identified before. Complete characterization of these three types of hysteresis in terms of parameters measuring the uniformity of the model is both analytically and numerically provided. Published by AIP Publishing.en_US
dc.language.isoen_USen_US
dc.titleDiversity of hysteresis in a fully cooperative coinfection modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1063/1.4996807en_US
dc.identifier.journalCHAOSen_US
dc.citation.volume28en_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.identifier.wosnumberWOS:000427002200008en_US
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