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Updated: May 31, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Internet queries and methicillin-resistant Staphylococcus aureus surveillance.
Vanja M Dukic1, Michael Z David, Diane S Lauderdale
1University of Colorado, Boulder, Colorado, USA.
Google searches can predict methicillin-resistant Staphylococcus aureus (MRSA) hospitalizations. This study shows internet data reflects real-world MRSA infection trends, offering new surveillance possibilities.
Area of Science:
- Epidemiology
- Infectious Diseases
- Public Health Surveillance
Background:
- The internet is a major source of health information.
- Internet-based data offers novel opportunities for disease surveillance.
- Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant public health challenge.
Purpose of the Study:
- To assess the potential of internet-based surveillance for MRSA.
- To examine the correlation between internet search trends and MRSA hospitalizations.
- To evaluate the reflection of MRSA trends in news coverage.
Main Methods:
- Analysis of Google search query data related to MRSA.
- Comparison of search trends with hospitalization data for MRSA infections.
- Examination of news coverage trends concerning MRSA.
Main Results:
- Google queries served as a significant predictor of MRSA hospitalizations.
- Internet search trends demonstrated a correlation with MRSA infection rates.
- The study identified the utility of online data for public health monitoring.
Conclusions:
- Internet-based data, specifically Google searches, can be a valuable tool for monitoring MRSA trends.
- Online search behavior can serve as an early indicator for MRSA outbreaks.
- Leveraging internet data enhances public health surveillance capabilities for infectious diseases.
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