Age-Structured Model

Age-Structured Model

Demographics A mathematical model which divides a population into different age classes in order to evaluate the effects of age-dependent infection, morbidity or mortality rates or age-specific vaccination schedules, and other factors.
Epidemiology A mathematical model that stratifies a study population into different age classes. See Population.
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Schaefer, "An age-structured model for the spread of epidemic cholera: analysis and simulation," Nonlinear Analysis: Real World Applications, vol.
Using the age-structured model, we back-calculated historical recruitment patterns and compared how the aging methods affected trends in recruitment over time.
Parameters for the logarithm of the adult female rate of demographic variation ofthe age-structured model FT1.
Epifil: The development of an age-structured model for describing the transmission dynamics and control of lymphatic filariasis.
We investigated the effectiveness of this measure by using a dynamic age-structured model. It is the first such model based on epidemiologic data: 1) blood donor activities, 2) a case-control study on CJD, 3) age distribution of recipients, and 4) death of recipients of blood transfusions.
We used Sherman and Runge's demographic information to to build a sex- and age-structured model with 6 age-classes: juvenile, 1-yr-old, 2-yr-old, 3-yr-old, 4-yr-old, and (5-yr-old (Fig.
Maximizing [V.sub.X] and [V.sub.Y], under the correction, will always tend to increase rather than decrease population growth rates (though this may again be violated in an age-structured model where parents may have higher reproductive values than new recruits).
This is in excellent agreement with results obtained by Neubert and Caswell [10] but not with the findings in [14] where an age-structured model is analysed.
(2013) also explored the connection between MSY-based RPs using an age-structured model, although no analytical solution is found in such cases.
Historic recruitment patterns were back calculated using an age-structured model. Trends in recruitment were independent of the value of M used, although rates were higher when M of 0.036 was applied compared with M of 0.016.
This information is used to implement an age-structured model considering ages between 1 and 19 years and combined genders.