Critical Limitations of Digital Epidemiology
Why COVID-19 Apps Are Useless
Keywords: Total Survey Error, Nonresponse, Coverage, Selection Bias, Non-probability Samples, Big Data, Contact Apps, Smartphones, Fitness Tracker, Health Care Insurance Data, Leopoldina Statement, Digital Public Health, COVID-19-Apps, Digital Tracing, Corona-App
AbstractDuring the current COVID-19 pandemic, “digital epidemiology” has been proposed to complement traditional reporting and surveillance systems. Instruments such as smartphone contact apps, fitness trackers, and apps for voluntary reporting are intended to be used to monitor or limit the spread of COVID-19. The methodological drawbacks and limitations of these instruments and devices are insufficiently addressed in the public discussion. Therefore, we review these weaknesses and limitations, using the Total Survey Error framework to address sampling and non-sampling errors of these approaches. We argue that no useful results can be obtained by any of the suggested methods of digital epidemiology for COVID-19 research. Finally, we suggest feasible alternative data sources for valid and population covering COVID-19 indicator systems.
How to Cite
Klingwort, J., & Schnell, R. (2020). Critical Limitations of Digital Epidemiology. Survey Research Methods, 14(2), 95-101. https://doi.org/10.18148/srm/2020.v14i2.7726
Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, users can use, reuse and build upon the material published in the journal but only for non-commercial purposes and with proper attribution.