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Clinical Significance of Antibiotic Resistance

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Methicillin-resistant Staphylococcus aureus (MRSA) presents a critical public health threat, arising from its capacity to resist β-lactam antibiotics due to acquisition of the mecA gene within the staphylococcal cassette chromosome mec (SCCmec). This gene encodes penicillin-binding protein 2a (PBP2a), which impairs binding efficacy of methicillin and other β-lactams. MRSA has evolved into distinct clonal lineages impacting humans and animals alike, reinforcing its significance within the One...

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Updated: Jul 4, 2026

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)

Published on: February 9, 2011

Interventions to control MRSA: high time for time-series analysis?

S Harbarth¹, M H Samore

¹Infection Control Program, University of Geneva Hospitals and Medical School, CH-1211 Geneva 14, Switzerland. stephan.harbarth@hcuge.ch

The Journal of Antimicrobial Chemotherapy

|June 17, 2008

Summary

Time-series analysis helps study infection control interventions. More research is needed to understand how antibiotic policies impact methicillin-resistant Staphylococcus aureus (MRSA) incidence.

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Last Updated: Jul 4, 2026

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus (MRSA)

Published on: February 9, 2011

Area of Science:

Epidemiology
Infectious Diseases
Public Health

Background:

Time-series methods are valuable for quasi-experimental studies assessing infection rates before and after interventions.
Uncertainties exist regarding the application of time-series analysis for evaluating infection control interventions and antibiotic policies.
The specific impact of interventions targeting antibiotic use on methicillin-resistant Staphylococcus aureus (MRSA) epidemiology remains unclear.

Purpose of the Study:

To explore the utility of time-series analysis in the context of infection control and antibiotic stewardship.
To address the gap in understanding MRSA incidence changes following interventions on antibiotic drug classes.

Main Methods:

Review of time-series methodologies in quasi-experimental designs.
Analysis of existing literature on infection control interventions and antibiotic policies.
Focus on studies examining MRSA epidemiology.

Main Results:

Time-series analysis is a recognized tool for pre- and post-intervention rate assessment.
Significant knowledge gaps persist regarding the precise effects of specific antibiotic interventions on MRSA.
Further research is required to elucidate the relationship between antibiotic use policies and MRSA dynamics.

Conclusions:

Time-series analysis offers a framework for evaluating infection control strategies.
Understanding the impact of antibiotic interventions on MRSA requires further investigation.
Clarifying the effects of antibiotic policies on MRSA epidemiology is crucial for public health.