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DYNAMICS AND NUMERICAL SIMULATIONS TO PREDICT EMPIRICAL ANTIBIOTIC TREATMENT OF MULTI-RESISTANT Pseudomonas aeruginosa INFECTION
s work discloses an epidemiological mathematical model to pre- 
dict 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 informa- 
tion concerning long-time dynamics of the susceptible, infected and recovered 
individuals. All data compiled from the mathematical...