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In epidemiology, force of infection (denoted ) is the rate at which susceptible individuals acquire an infectious disease. [1] Because it takes account of susceptibility it can be used to compare the rate of transmission between different groups of the population for the same infectious disease, or even between different infectious diseases.
The transmission chain method is used to reveal what elements of a story the participants are most likely to remember, as well as how they transform the elements of the story. [3] Bartlett's pioneering book, Remembering describes a series of studies of transmission of various material, from Native American folk tales to descriptions of sporting ...
Despite being widely seen as a model of communication, not everyone agrees that this is an accurate characterization. [2] A model of communication is a simplified presentation that aims to give a basic explanation of the process by highlighting its most fundamental characteristics and components.
These models are typically represented by partial differential equations, in contrast to classical models described as systems of ordinary differential equations. Following the derivation principles of kinetic theory, they provide a more rigorous description of epidemic dynamics by starting from agent-based interactions.
Transmission chain of chain of transmission may refer to: Airchain, the path or route an audio or video signal takes on its way through a radio station or television station; Chain drive, a way of transmitting mechanical power from one place to another; Chain of infection, a general chain of events that applies to infections
An infectious disease agent can be transmitted in two ways: as horizontal disease agent transmission from one individual to another in the same generation (peers in the same age group) [3] by either direct contact (licking, touching, biting), or indirect contact through air – cough or sneeze (vectors or fomites that allow the transmission of the agent causing the disease without physical ...
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Connectionist models serve as a test platform for different hypotheses of representation, information processing, and signal transmission. Lesioning studies in such models, e.g. artificial neural networks , where parts of the nodes are deliberately destroyed to see how the network performs, can also yield important insights in the working of ...