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A generalized epidemiological model with dynamic and asymptomatic population

Statistical Methods in Medical Research, 2022
In this paper, we develop an extension of compartmental epidemiological models which is suitable for COVID-19. The model presented in this paper comprises seven compartments in the progression of the disease. This model, named as the SINTRUE (Susceptible, Infected and pre-symptomatic, Infected and Symptomatic but Not Tested, Tested Positive, Recorded ...
Anirban Ghatak   +3 more
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General practitioner distribution and population dynamics: Munich, 1950–1990

Social Science & Medicine, 1994
The problem of variable geographic distribution of physicians appears to be universal and intransigent. There is growing evidence from several developed countries of primary physicians avoiding areas in large cities increasingly populated by poor and ethnic minorities. This paper extends the research to Germany.
G W, Shannon, M P, Cutchin
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Population dynamic models generating the lognormal species abundance distribution

Mathematical Biosciences, 1996
This paper deals with a new class of stochastic species abundance models where the abundances are the points of an inhomogeneous Poisson process. These models are the result of a dynamic approach in which the changes in abundances through time are described by a multivariate diffusion and speciation constitutes a homogeneous Poisson process.
Engen, Steinar, Lande, Russell
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Generalized ridge analysis with application to population pharmacokinetics/dynamics

Journal of Biopharmaceutical Statistics, 1996
Given a set of measurements on a patient in clinical studies or on a drug response in bioassays and immunoassays, the data series for the individual can be incomplete, noisy, and haphazard. Hence, meaningful analysis on such limited data is at best difficult given the typical assumptions on the nonlinear structure of systematic and random components ...
J M, Minor, H, Namini, G A, Watson
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Sparse generalized Laguerre-Volterra model of neural population dynamics

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
To understand the function of a brain region, e.g., hippocampus, it is necessary to model its input-output property. Such a model can serve as the computational basis of the development of cortical prostheses restoring the transformation of population neural activities performed by the brain region.
Dong, Song   +5 more
openaire   +2 more sources

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