Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends

Christina H. Maaß

doi:10.1371/journal.pone.0276485

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Open Access

Peer-reviewed

Research Article

Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends

Christina H. Maaß

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: christina.maass@uni-hamburg.de

Affiliation Department of Economics, University of Hamburg, Hamburg, Germany

https://orcid.org/0000-0001-6264-6622

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Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends

Christina H. Maaß

Published: October 26, 2022
https://doi.org/10.1371/journal.pone.0276485

About the Authors

Christina H. Maaß

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: christina.maass@uni-hamburg.de

Affiliation Department of Economics, University of Hamburg, Hamburg, Germany

https://orcid.org/0000-0001-6264-6622

Competing Interests

The authors have declared that no competing interests exist.

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COVID 19
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Virus testing
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Pandemics
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Smell
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Pneumonia
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Germany
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Respiratory infections
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Test statistics
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