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Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study.
Katja Saris1,2,3, Jacques F Meis4,5,6, Jesús Rodriguez Baño7
1Department of Medical Microbiology and Infectious Diseases, Canisius-Wilhelmina Hospital (CWZ), 6532SZ Nijmegen, The Netherlands. katjasaris@gmail.com.
Journal of Fungi (Basel, Switzerland)
|June 7, 2019
Summary
Online search trends can offer early warnings for Candida auris (a multidrug-resistant yeast) spread. While Google Trends data doesn't always align with confirmed cases, it aids in identifying potential hotspots for surveillance.
Area of Science:
- Infectious Diseases
- Public Health Surveillance
- Computational Epidemiology
Background:
- Candida auris is a challenging multidrug-resistant yeast requiring rapid identification and surveillance.
- Current laboratory methods for C. auris detection can be slow and difficult, especially in resource-limited settings.
- Effective disease surveillance requires innovative methods to track the spread of emerging infectious agents.
Purpose of the Study:
- To explore the utility of online search behavior, specifically Google Trends, for monitoring the global spread of Candida auris.
- To assess the correlation between Google Trends data and confirmed C. auris cases for surveillance purposes.
- To evaluate the potential of Google Trends in identifying both known and unknown C. auris outbreaks.
Main Methods:
- Utilized Google Trends data to analyze online search interest for Candida auris from January 2016 to August 2018.
- Collected weekly Google Trends 'hits' and compared them with confirmed C. auris case data from publications and expert networks.
- Analyzed the concordance between search trends and reported cases across 44 countries.
Main Results:
- Google Trends identified search interest in 44 countries, with varying degrees of correlation to confirmed C. auris cases.
- A significant portion of search trends (34%) represented missed known cases, and another 34% indicated searches for unknown cases.
- While search interest often highlighted areas with increased attention to C. auris, direct correlation with case clusters was not consistently observed.
Conclusions:
- Google Trends can rapidly indicate heightened public and professional interest in Candida auris in specific regions.
- The data provides valuable insights into both recognized and unrecognized geographical areas of concern for C. auris.
- Online search behavior analysis offers a supplementary tool for disease surveillance, potentially aiding in timely public health interventions and preparedness.
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