Evidence map›Paper›PMID 31392508›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2020

Dynamics of a non-smooth epidemic model with three thresholds.

Aili Wang, Yanni Xiao, Robert Smith

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Article in Theory in biosciences = Theorie in den Biowissenschaften, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Aili WangSchool of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji, 721013, People's Republic of China.
Yanni XiaoSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Robert SmithDepartment of Mathematics and Faculty of Medicine, The University of Ottawa, Ottawa, ON, K1N 6N5, Canada. rsmith43@uottawa.ca.ORCID http://orcid.org/0000-0002-6529-3321

Funding

National Natural Science Foundation of China 11571273National Natural Science Foundation of China 11801013
6 · The paper itself

Abstract

A non-smooth epidemic model with piecewise incidence rate dependent on the derivative of the case number is proposed for the transmission dynamics of an infectious disease with media coverage, enhanced vaccination and treatment policy. This is an implicitly defined system, which is converted into an explicit system with three thresholds by employing the properties of the Lambert W function. We first analyze the dynamics of the proposed model for the limiting case, which induces two non-smooth but continuous models. The dynamic analysis of the model demonstrates that either one of the two generalized equilibria or the pseudo-equilibrium is globally asymptotically stable if the disease does not die out. This suggests that the case number can be contained either at an a priori level or at a high/low level, depending on the threshold, which governs whether the enhanced vaccination and treatment policies are implemented. Media coverage cannot help eradicate the disease, but it significantly delays the epidemic peak and lowers the peak case number. Hence, a good threshold policy and continuously updating the awareness of case numbers are required to combat the disease successfully.

Indexed as

EpidemicsAlgorithmsCommunicable Disease ControlCommunicable DiseasesDisease OutbreaksHospitalsHumansIncidenceModels, TheoreticalResource AllocationVaccinationGlobal dynamicsMedia coverageMultiple thresholdsNon-smooth modelSliding dynamics

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.