เปรียบเทียบวิธี

	แบบจำลองโรคระบาดเชิงแบ่งส่วน SIR	การสร้างแบบจำลองเชิงเอเจนต์ (ABM)	แบบจำลอง SEIR
สาขาวิชา	ระบาดวิทยา	การจำลอง	ระบาดวิทยา
ตระกูล	Regression model	Process / pipeline	Regression model
ปีกำเนิด	1927	1970s–1990s (formalized as a field)	1991
ผู้ริเริ่ม	Kermack & McKendrick	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)	Kermack & McKendrick; Anderson & May
ประเภท	Deterministic compartmental ODE model	Computational simulation method	Deterministic compartmental ODE model
แหล่งต้นตำรับ	Kermack, W. O., & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society A, 115(772), 700–721.	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.	Anderson, R. M., & May, R. M. (1991). Infectious Diseases of Humans: Dynamics and Control. Oxford University Press. ISBN: 978-0-19-854040-3
ชื่อเรียกอื่น	Kermack–McKendrick Model, Susceptible-Infectious-Recovered Model, Compartmental Epidemic Model, SIR Epidemiyoloji Modeli	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling	Susceptible-Exposed-Infectious-Recovered Model, SEIR Compartmental Model, Latent Period Epidemic Model, SEIR Bulaşıcı Hastalık Modeli
ที่เกี่ยวข้อง	3	5	3
สรุป	The SIR model is a foundational mathematical framework for describing the spread of infectious diseases through a population. Introduced by William Ogilvy Kermack and Anderson Gray McKendrick in 1927, it partitions a closed population of size N into three mutually exclusive compartments: Susceptible (S), Infectious (I), and Recovered (R). A system of ordinary differential equations governs the flow of individuals between compartments, capturing epidemic dynamics with two key parameters — the transmission rate β and the recovery rate γ.	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.	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.