Figure 4.

Prevalence of MRSA infection when history of antibiotic usage is taken into account. Numerical solutions: (a) the proportions of infectious patients with and without history of antibiotic exposure (dashed and solid traces, respectively): (b) the prevalence of MRSA infection in the hospital when duration of treatment in patients with and without antibiotics vary: (c) the prevalence of MRSA infection in the hospital when probability of a successful treatment in patients with and without antibiotics vary: and (d) the number of infectious patients according to the probability of treatment failure in the first therapy ( ${\lambda }_u=0.62,{\lambda }_{\mathit{\text{uA}}}=0.349,{\lambda }_c=0.01,{\lambda }_{\mathit{\text{cA}}}=0.03,{\lambda }_i=0,{\lambda }_{\mathit{\text{iA}}}=0.001,{\gamma }_u={\gamma }_{\mathit{\text{uA}}}=1/5,\kappa =1/7,m_1=0.2,m_{1A}=0.3,m_2=0.01,m_{2A}=0.005,\varphi =m_1\kappa ,{\varphi }_A=m_{1A}\kappa ,\omega =m_2\kappa ,\omega =m_{2A}\kappa ,{\gamma }_c=(1-m_1-m_2)\kappa ,{\gamma }_{\mathit{\text{cA}}}=(1-m_{1A}-m_{2A})\kappa ,{\rho }^s=0.5,{\rho }^u=0.15,\tau =1/10,{\tau }_A=1/14,{\gamma }_i=(1-{\rho }^s-{\rho }^u)\tau ,{\gamma }_{\mathit{\text{iA}}}=(1-{\rho }_A){\tau }_A,a=8,b_p=0.015,b_{\mathit{\text{pA}}}=0.025,b_{\mathit{\text{hc}}}=0.1,b_{\mathit{\text{hcA}}}=0.15,b_{\mathit{\text{hi}}}=0.25,b_{\mathit{\text{hiA}}}=0.3,\mu =1/(1/24)$).