Resumen
During the current COVID-19 pandemic, non-pharmaceutical interventions represent the first-line of defense to tackle the dispersion of the disease. One of the main non-pharmaceutical interventions is testing, which consists on the application of clinical tests aiming to detect and quarantine infected people. Here, we extended the SEIR compartmental model into a SEIRTQ model, adding new states representing the testing (T) and quarantine (Q) dynamics. In doing so, we have characterized the effects of a set of testing and quarantine strategies using a multi-paradigm approach, based on ordinary differential equations and agent based modelling. Our simulations suggest that iterative testing over 10% of the population could effectively suppress the spread of COVID-19 when testing results are delivered within 1 day. Under these conditions, a reduction of at least 95% of the infected individuals can be achieved, along with a drastic reduction in the number of super-spreaders.
Idioma original | Inglés |
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Título de la publicación alojada | Proceedings of the 2022 Winter Simulation Conference, WSC 2022 |
Editores | B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 2546-2557 |
Número de páginas | 12 |
ISBN (versión digital) | 9798350309713 |
DOI | |
Estado | Publicada - 2022 |
Evento | 2022 Winter Simulation Conference, WSC 2022 - Guilin, China Duración: 2022 → 2022 |
Serie de la publicación
Nombre | Proceedings - Winter Simulation Conference |
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Volumen | 2022-December |
ISSN (versión impresa) | 0891-7736 |
Conferencia
Conferencia | 2022 Winter Simulation Conference, WSC 2022 |
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País/Territorio | China |
Ciudad | Guilin |
Período | 11/12/22 → 14/12/22 |
Nota bibliográfica
Publisher Copyright:© 2022 IEEE.
Áreas temáticas de ASJC Scopus
- Software
- Modelización y simulación
- Informática aplicada