Influence of Modality of Data Collection on User Willingness to adopt Contact Tracing

What is it about?

A scenario-based study in the US to understand user willingness to adopt contact tracing across - 3 dimensions: 1) mode of data collection - public health official, EHR and smartphone 2) type of data collected - identity, contact, location, sex partner* (as recommended by the CDC) on willingness to participate in contact tracing. 3) type of diseases - Zika, HIV, MRSA, nCOV, Ebola, HEP-x We describe how different modalities and demographic factors may affect user compliance and willingness to share information with different stakeholders. Our findings show that the use of smartphones and a combination of data collected through public health officials and EHR are promising sources of information. *this was only for HIV scenario

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Why is it important?

Our work paves the path for research in the area of digital contact tracing for future pandemics in an increasingly digitalized world where data privacy becomes ever more important.