Antibiotic resistance occurs when bacteria evolve mechanisms to resist the effects of drugs that once effectively treated infections. This phenomenon poses a significant threat to public health, complicating the treatment of common infectious diseases.
The rise of antibiotic-resistant bacteria complicates treatment options, leading to longer hospital stays, higher medical costs, and increased mortality. The lack of new antibiotic classes approved in recent decades exacerbates this issue, highlighting the urgent need for innovative therapeutic strategies and better understanding of resistance mechanisms.
import pandas as pd import matplotlib.pyplot as plt # Sample data for antibiotic resistance mechanisms data = { 'Mechanism': ['Biofilm Formation', 'Efflux Pumps', 'Enzymatic Degradation', 'Genetic Mutations'], 'Resistance Rate (%)': [40, 30, 20, 10] } df = pd.DataFrame(data) # Plotting the data plt.bar(df['Mechanism'], df['Resistance Rate (%)'], color='blue') plt.title('Antibiotic Resistance Mechanisms') plt.xlabel('Mechanisms') plt.ylabel('Resistance Rate (%)') plt.show()