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What does SEIR stand for? 

What does SEIR mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: SEIR.

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SEIR

Susceptible Exposed Infectious Recovered

Medical

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SEIR

Sharing Excellence in Research

Academic & Science » Research

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SEIR

Societal and Ethical Issues in Research

Academic & Science » Research

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SEIR

Susceptible Exposed Infectious and Removed

Medical

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SEIR

Smallest Effect Identified Rate

Miscellaneous » Unclassified

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SEIR

Software Engineering Information Repository

Computing » Software

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SEIR

Susceptible Exposed Infected Recovered

Medical

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SEIR

susceptible → exposed → infectious → recovered

Medical

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SEIR

Susceptible-Exposed-Infected-Resistant

Medical » Clinical Medicine

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What does SEIR mean?

Seir
Compartmental models are a very general modelling technique. They are often applied to the mathematical modelling of infectious diseases. The population is assigned to compartments with labels – for example, S, I, or R, (Susceptible, Infectious, or Recovered). People may progress between compartments. The order of the labels usually shows the flow patterns between the compartments; for example SEIS means susceptible, exposed, infectious, then susceptible again. The origin of such models is the early 20th century, with important works being that of Ross in 1916, Ross and Hudson in 1917, Kermack and McKendrick in 1927 and Kendall in 1956. The Reed-Frost model was also a significant and widely-overlooked ancestor of modern epidemiological modelling approaches.The models are most often run with ordinary differential equations (which are deterministic), but can also be used with a stochastic (random) framework, which is more realistic but much more complicated to analyze. Models try to predict things such as how a disease spreads, or the total number infected, or the duration of an epidemic, and to estimate various epidemiological parameters such as the reproductive number. Such models can show how different public health interventions may affect the outcome of the epidemic, e.g., what the most efficient technique is for issuing a limited number of vaccines in a given population.

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