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| SEIR-modell× | Szaporodási szám (R0 és Rt)× | |
|---|---|---|
| Tudományterület | Epidemiológia | Epidemiológia |
| Módszercsalád | Regression model | Regression model |
| Keletkezés éve≠ | 1991 | 1990 |
| Megalkotó≠ | Kermack & McKendrick; Anderson & May | Diekmann, Heesterbeek & Metz |
| Típus≠ | Deterministic compartmental ODE model | Threshold parameter for epidemic spread |
| Alapmű≠ | Anderson, R. M., & May, R. M. (1991). Infectious Diseases of Humans: Dynamics and Control. Oxford University Press. ISBN: 978-0-19-854040-3 | Diekmann, O., Heesterbeek, J. A. P., & Metz, J. A. J. (1990). On the definition and the computation of the basic reproduction ratio R0. Journal of Mathematical Biology, 28(4), 365–382. link ↗ |
| Alternatív nevek | Susceptible-Exposed-Infectious-Recovered Model, SEIR Compartmental Model, Latent Period Epidemic Model, SEIR Bulaşıcı Hastalık Modeli | Basic Reproduction Ratio, Effective Reproduction Number, Net Reproduction Number, Temel Üreme Sayısı |
| Kapcsolódó≠ | 3 | 2 |
| Összefoglaló≠ | The SEIR model is a deterministic compartmental model that partitions a closed population into four epidemiological states: Susceptible (S), Exposed (E), Infectious (I), and Recovered (R). It extends the classic SIR framework by explicitly incorporating a latent period during which individuals have been infected but are not yet infectious. The model was systematically formalized by Anderson and May (1991) and remains a cornerstone of mathematical epidemiology for diseases with non-negligible incubation periods. | The basic reproduction number R0 is the expected number of secondary infections produced by a single infectious individual introduced into a fully susceptible population. Formally defined and computationally grounded by Diekmann, Heesterbeek, and Metz in 1990 using the next-generation matrix approach, R0 serves as the central threshold parameter in mathematical epidemiology: if R0 > 1, an epidemic can establish itself; if R0 < 1, the outbreak dies out. The effective reproduction number Rt extends this to partially immune or partially susceptible populations over time. |
| ScholarGateAdatkészlet ↗ |
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