Results 241 to 250 of about 638,486 (297)
A novel technique to study the solutions of time fractional nonlinear smoking epidemic model. [PDF]
Pavani K, Raghavendar K.
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Uric Acid in Metabolic Dysfunction‐Associated Steatotic Liver Disease
MASLD is the most prevalent chronic liver disease worldwide, yet effective pharmacological treatments remain limited. Hyperuricemia is now recognized as a key driver of hepatic steatosis, inflammation, and fibrosis, with elevated serum uric acid levels independently predicting hepatocellular carcinoma and liver‐related mortality.
Rong Wang +5 more
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Existence of Traveling Waves of a Diffusive Susceptible-Infected-Symptomatic-Recovered Epidemic Model with Temporal Delay. [PDF]
Miranda JC +3 more
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Analysis of a stochastic SEI u I r R epidemic model incorporating the Ornstein-Uhlenbeck process. [PDF]
Mediani M +3 more
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Infection-induced increases to population size during cycles in a discrete-time epidemic model. [PDF]
Strube LF, Elgart S, Childs LM.
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Characterising information gains and losses when collecting multiple epidemic model outputs.
Sherratt K +28 more
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Mathematical Biosciences, 1996
A number of models have been proposed to describe the spread of infectious diseases of the S-I-R type. Most of them account for variable infectivity levels, and very few incorporate variable susceptibility levels. In the present work, a new epidemic model, called a collective model, is constructed that combines both variabilities in a general way.
Lefèvre, Claude, Picard, Philippe
openaire +2 more sources
A number of models have been proposed to describe the spread of infectious diseases of the S-I-R type. Most of them account for variable infectivity levels, and very few incorporate variable susceptibility levels. In the present work, a new epidemic model, called a collective model, is constructed that combines both variabilities in a general way.
Lefèvre, Claude, Picard, Philippe
openaire +2 more sources
Biometrics, 1980
An epidemic chain model is developed by assuming a beta distribution for the probability of being infected by contact with a given infective from the same household. This model includes, as a particular case, the epidemic chain model corresponding to the stochastic Kermack-McKendrick model and, as a limiting case, the Reed-Frost chain binomial model ...
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An epidemic chain model is developed by assuming a beta distribution for the probability of being infected by contact with a given infective from the same household. This model includes, as a particular case, the epidemic chain model corresponding to the stochastic Kermack-McKendrick model and, as a limiting case, the Reed-Frost chain binomial model ...
openaire +3 more sources
Modelling plant disease epidemics
European Journal of Plant Pathology, 2003An epidemic is the progress of disease in time and space. Each epidemic has a structure whose temporal dynamics and spatial patterns are jointly determined by the pathosystem characteristics and environmental conditions. One of the important objectives in epidemiology is to understand such spatio-temporal dynamics via mathematical and statistical ...
A. van Maanen, X.-M. Xu
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1984
This general introduction to the ideas and techniques required for the mathematical modelling of diseases begins with an outline of some disease statistics dating from Daniel Bernoulli's 1760 smallpox data. The authors then describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either ...
D. J. Daley, J. Gani
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This general introduction to the ideas and techniques required for the mathematical modelling of diseases begins with an outline of some disease statistics dating from Daniel Bernoulli's 1760 smallpox data. The authors then describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either ...
D. J. Daley, J. Gani
openaire +1 more source

