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      Bistability in deterministic and stochastic SLIAR-type models with imperfect and waning vaccine protection

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          Abstract

          Various vaccines have been approved for use to combat COVID-19 that offer imperfect immunity and could furthermore wane over time. We analyze the effect of vaccination in an SLIARS model with demography by adding a compartment for vaccinated individuals and considering disease-induced death, imperfect and waning vaccination protection as well as waning infections-acquired immunity. When analyzed as systems of ordinary differential equations, the model is proven to admit a backward bifurcation. A continuous time Markov chain (CTMC) version of the model is simulated numerically and compared to the results of branching process approximations. While the CTMC model detects the presence of the backward bifurcation, the branching process approximation does not. The special case of an SVIRS model is shown to have the same properties.

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          Most cited references39

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          Is Open Access

          Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2)

          Estimation of the prevalence and contagiousness of undocumented novel coronavirus (SARS-CoV2) infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV2, including the fraction of undocumented infections and their contagiousness. We estimate 86% of all infections were undocumented (95% CI: [82%–90%]) prior to 23 January 2020 travel restrictions. Per person, the transmission rate of undocumented infections was 55% of documented infections ([46%–62%]), yet, due to their greater numbers, undocumented infections were the infection source for 79% of documented cases. These findings explain the rapid geographic spread of SARS-CoV2 and indicate containment of this virus will be particularly challenging.
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            A Contribution to the Mathematical Theory of Epidemics

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              Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

              A precise definition of the basic reproduction number, R0, is presented for a general compartmental disease transmission model based on a system of ordinary differential equations. It is shown that, if R0 1, then it is unstable. Thus, R0 is a threshold parameter for the model. An analysis of the local centre manifold yields a simple criterion for the existence and stability of super- and sub-threshold endemic equilibria for R0 near one. This criterion, together with the definition of R0, is illustrated by treatment, multigroup, staged progression, multistrain and vector-host models and can be applied to more complex models. The results are significant for disease control.
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                Author and article information

                Contributors
                julien.arino@umanitoba.ca
                Evan.Milliken@louisville.edu
                Journal
                J Math Biol
                J Math Biol
                Journal of Mathematical Biology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0303-6812
                1432-1416
                23 June 2022
                2022
                : 84
                : 7
                : 61
                Affiliations
                [1 ]GRID grid.21613.37, ISNI 0000 0004 1936 9609, Department of Mathematics & Data Science Nexus, , University of Manitoba, ; Winnipeg, Manitoba Canada
                [2 ]GRID grid.266623.5, ISNI 0000 0001 2113 1622, Department of Mathematics, , University of Louisville, ; Louisville, Kentucky United States
                Author information
                http://orcid.org/0000-0001-6409-5027
                http://orcid.org/0000-0003-1268-9020
                Article
                1765
                10.1007/s00285-022-01765-9
                9219406
                35737177
                b979a8a2-2fd0-45ea-a849-c7d9c55ad16d
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 10 June 2021
                : 20 April 2022
                : 27 May 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, natural sciences and engineering research council of canada;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, canadian institutes of health research;
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                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Quantitative & Systems biology
                epidemic model,waning immunity,backward bifurcation,continuous time markov chain,branching process approximation,92d30,60j28,60j85,34c23

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