| Revista: | Revista mexicana de física |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000447271 |
| ISSN: | 0035-001X |
| Autores: | Garzón, F1 Olvera Orozco, J2 Castro López, J3 Figueroa, A4 |
| Instituciones: | 1Universidad Autónoma del Estado de Morelos, Instituto de Investigación en Ciencias Básicas y Aplicadas, Cuernavaca, Morelos. México 2Universidad Nacional Autónoma de México, Instituto de Energías Renovables, Temixco, Morelos. México 3Universidad del Mar, Puerto Angel, Oaxaca. México 4Universidad Autónoma del Estado de Morelos, Centro de Investigación en Ciencias, Cuernavaca, Morelos. México |
| Año: | 2021 |
| Periodo: | Jul-Ago |
| Volumen: | 67 |
| Número: | 4 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, teórico |
| Resumen en inglés | A study on the epidemiological Susceptible-Infected-Recovered (SIR) model is presented using free particle dynamics. The study is performed using a computational model consisting of randomly allocated particles in a closed domain which are free to move in random directions with the ability to collide with each other. The transmission rules for the particle-particle interactions are based on the main viral infection mechanisms, resulting in real-time results of the number of susceptible, infected, and recovered particles within a population of N = 200 particles. The results are qualitatively compared with a differential equation SIR model in terms of the transmission rate β, recovery rate γ, and the basic reproductive number R 0, yielding overall good results. The effect of the particle density ρ p on R 0 is also studied to analyze how an infectious disease spreads over different types of populations. The versatility of the proposed free-particle-dynamics SIR model allows to simulate different scenarios, such as social distancing, commonly referred to as quarantine, no social distancing measures, and a mixture of the former and the latter. It is found that by implementing early relaxation of social distancing measures before the number of infected particles reaches zero, could lead to subsequent outbreaks such as the particular events observed in different countries due to the ongoing COVID-19 health crisis |
| Disciplinas: | Física y astronomía |
| Palabras clave: | Física, Modelo SIR, Partículas libres, Densidad de partículas, COVID-19 |
| Keyword: | Physics, Physics, SIR model, Free particles, Particle density, COVID-19 |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
