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Model of Virus Spread (25+25=50 points ) A well-known way to model the spread of virus over time t is the so-called SIRD model. Suppose the total residential population of a county is N that remains constant over t∈[0,100]. At time t, the number of susceptible individuals is S(t), the number of infected individuals is I(t), the number of recovered individuals (after being infected) is R(t), the number of deccased individuals is D(t). The SIRD model is given by the nonlinear ODE

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Final answer:

The SIRD model is a mathematical construct used in epidemiology to simulate the spread of infectious diseases through a population, considering variables such as susceptible, infected, recovered, and deceased individuals over time.

Step-by-step explanation:

The SIRD model is a mathematical approach used to describe the spread of viruses within a population. It divides the population into four compartments: susceptible (S), infected (I), recovered (R), and deceased (D). This model helps in understanding infectious disease dynamics and is governed by a set of nonlinear ordinary differential equations (ODEs) that describe how individuals move between these compartments over time (t). Key concepts illustrated by this model include herd immunity, the effect of individual immunity on the spread of disease, and the dynamics of viral growth and population changes in response to an infection.

The model depicts various stages of virus spread and impact, including initial exponential growth when there are few infected individuals and ample resources, followed by a period of decelerated growth as resources become more scarce, and finally a plateau at the carrying capacity of the environment. Additionally, the model takes into account the concept of common source spread, as demonstrated by historical events such as the spread of cholera through contaminated water sources in London, as well as the idea of propagated spread, where each infected individual can further transmit the virus.

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