期刊
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
卷 91, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cnsns.2020.105418
关键词
Numerical simulations; SIRI Model; Multi-resistant; Pseudomonas aeruginosa; 34K28; 34A12 secondary; 92B05
类别
资金
- Ministerio de Educacion y Ciencia (Spanish government) [2004/0001203]
- Ministerio de Ciencia, Innovacion y Universidades (Spanish government) [PGC2018-096540-B-100]
- Consejeria de Economia y Conocimiento (Junta de Andalucia) [US-1254251]
This work discloses an epidemiological mathematical model to predict an empirical treatment for dogs infected by Pseudomonas aeruginosa. This dangerous pathogen is one of the leading causes of multi-resistant infections and can be transmitted from dogs to humans. Numerical simulations and appropriated codes were developed using Matlab software to gather information concerning long-time dynamics of the susceptible, infected and recovered individuals. All data compiled from the mathematical model was used to provide an appropriated antibiotic sensitivity panel for this specific infection. In this study, several variables have been included in this model to predict which treatment should be prescribed in emergency cases, when there is no time to perform an antibiogram or the cost of it could not be assumed. In particular, we highlight the use of this model aiming to become part of the convenient toolbox of Public Health research and decision-making in the design of the mitigation strategy of bacterial pathogens. (C) 2020 Elsevier B.V. All rights reserved.
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