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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 21, 2020
Date Accepted: Jan 30, 2021

The final, peer-reviewed published version of this preprint can be found here:

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

Kammrath Betancor P, Tizek L, Zink A, Reinhard T, Böhringer D

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

JMIR Public Health Surveill 2021;7(3):e22645

DOI: 10.2196/22645

PMID: 33656450

PMCID: 7970297

Estimation of the incidence of conjunctivitis - comparing the frequency of Google™ search terms with clinical data

  • Paola Kammrath Betancor; 
  • Linda Tizek; 
  • Alexander Zink; 
  • Thomas Reinhard; 
  • Daniel Böhringer

ABSTRACT

Background:

Infectious conjunctivitis is contagious and may lead to an outbreak. Prevention systems can help to restrain this.

Objective:

To evaluate if Google™ search data on conjunctivitis and associated terms is able to estimate the incidence and if it may provide an estimation for outbreaks.

Methods:

We obtained Google™ search data over four years for the German term for conjunctivitis (“Bindehautentzündung”) and 714 associated terms in 12 selected German cities and Germany as a whole using the Google™ AdWords Keyword Planner. The search volume from Freiburg was correlated with clinical data from the Freiburg emergency practice, Eye Center University of Freiburg.

Results:

The search volume for the German terms for conjunctivitis in Germany as a whole and in the 12 German cities shows a highly uniform seasonal pattern. Cross-correlation between the temporal search frequencies in Germany as a whole and the 12 selected cities is high without any lag. Cross-correlation of the search volume in Freiburg with the frequency conjunctivitis (ICD codes "H10.-") from the centralized ophthalmologic emergency practice in Freiburg reveals a considerable temporal association with a time lag of 7 days. Also, Perason’s correlation between the count of patients per month and the count of searches per month in Freiburg is statistically significant (P=.04).

Conclusions:

We observe a close correlation between the Google™ search volume for signs and symptoms of conjunctivitis and the patient frequency with a congruent diagnosis in the Freiburg region. Regional deviations from the nationwide average search volume may therefore indicate a regional outbreak of infectious conjunctivitis.


 Citation

Please cite as:

Kammrath Betancor P, Tizek L, Zink A, Reinhard T, Böhringer D

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

JMIR Public Health Surveill 2021;7(3):e22645

DOI: 10.2196/22645

PMID: 33656450

PMCID: 7970297

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