13 research outputs found

    Dynamics of influenza pandemic with varying and waning immunity.

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    <p>A a change in the level of multiple contacts as soon as the number of deaths is above 500 from to and B a faster rate for waning immunity in a scenario where .</p

    Dynamics of influenza pandemic with volunteer isolation.

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    <p>A and B volunteer isolation started when the number of deaths was above 400 and persons returned to community when the number of deaths was bellow 100 and C and D volunteer isolation started when the number of deaths was above 200 and persons returned to community when the number of deaths was bellow 100. Arrows in B and D indicate the time at which persons leave and return to the susceptible compartment.</p

    Incidence, mortality and case-fatality rate for influenza pandemic under different levels of multiple contacts between a susceptible person and infectious ones.

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    <p>A and B gives the mortality rate and the case-fatality rate for scenarios 1 () and 2 (). C and D gives the corresponding incidence per 100 000 persons in the population and the effective reproduction rate.</p

    The metabolic acceleration factor in animal taxa, quantified as the ratio of length after and before acceleration.

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    <p>The font colors of the taxa names indicate the values of the acceleration factor among their species: less than 2 (black), 5 (blue), 10 (magenta) or more than 10 (red).</p

    The 14 primary parameters of the std-DEB model in a time-length-energy frame [4].

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    <p>The values are considered typical values among species at 20°C with maximum structural length for a dimensionless zoom factor <i>z</i> and cm. Structural length is the cubic root of structural volume, which, together with reserve, contributes to body mass. The Gompertz stress coefficient is almost zero for ectotherms and around 0.1 for endotherms, while the Weibull aging acceleration varies greatly between species.</p

    Model scheme of the standard DEB model.

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    <p>Boxes: state variables. Arrows: mass/ energy fluxes associated with each of the processes specified on the scheme. Each process is quantified by a model parameter (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006100#pcbi.1006100.t001" target="_blank">Table 1</a>). The only process that is not represented here is aging, which is quantified by two parameters.</p
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