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Banking activities which involve the use of counting machines, Automated teller machines, and exchange of naira notes play potential roles in the spread of infectious microorganisms. This study aimed at determining the microbial status of banks within Ekiti State University campus. A total of 96 samples were collected from six different banks’ in–door air, ATM, counting tables and Money counting machines in Ekiti State University campus. The samples were collected both in the morning and afternoon. Bacteria and fungi were isolated from the samples using serial dilution and pour plating methods. The isolates were identified based on morphological and biochemical characterization. Susceptibility pattern of the isolates to different classes of antibiotics (Penicillins, Quinolones, Macrolides, Aminoglycosides, Fluoroquinolones and Sulfonamides) were determined using agar disc diffusion method. There was significant difference (p |
