This lecture discloses an epidemiological mathematical model to predict an empirical treat- ment 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 recov- ered 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 pre- scribed 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.


María Pérez-Aranda graduated in Veterinary Medicine in the University of Cordoba (Spain) in 2013. She has specialized in Dermatology, obtaining the GP certificate in Dermatology of the International School of Veterinary Postgraduate Studies (ISVPS) in 2016. She combines her clinical work with her research career, doing her PhD degree in Pharmacy in the University of Seville in Organic Chemistry and Microbiology and Parasitology departments. Also she is part of PAIDI-Bio-307 research group at the Veterinary University in Cordoba. She has published numerous papers and book chapters in national and international journals and manuals and has contributed with several communications in national and international congresses. In addition, she is affiliated at the European Society of Veterinary Dermatology and the Spanish Association of Specialists in Small Animal Medicine.