Digital Contact Tracing for COVID-19

Author:

Nasereddin Mahdi1,Bartolacci Michael1,Peca Joanne C.2,Glantz Edward J.1ORCID,Grimes Galen1,Verlato Tyler3

Affiliation:

1. Pennsylvania State University, USA

2. Carnegie Mellon University, USA

3. 21st Century Cyber Charter School, USA

Abstract

The spread of the COVID-19 virus across the globe has permanently changed life for billions of people. Manual contact tracing has been utilized to assist in limiting the spread of contagious diseases for many years. The ubiquitous use of smartphones and similar wireless devices has allowed this process to become digital in nature through contact tracing applications installed on these devices. Various countries, and even various regional units within those countries, developed contact tracing applications. Such applications relied on location and short-range communication technologies associated with wireless devices and found varying degrees of success. This work reviews research conducted by universities, governmental organizations, and other entities with respect to the adoption, use, and ultimate success of, digital contact tracing applications across various countries and points to their rather limited success in fighting the spread of the disease. The authors also briefly discuss some implications regarding privacy and security that affected their use in certain countries.

Publisher

IGI Global

Subject

General Medicine

Reference41 articles.

1. Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state

2. Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

3. Apple.com. (2022). Privacy-Preserving Contact Tracing. Apple. https://covid19.apple.com/contacttracing

4. Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

5. Biasin, E., Kamenjasevic, E., & Vedder, A. (2022, May 11). Medical device software: A use case on contact tracing apps. Politecnico di Milano. https://lirias.kuleuven.be/retrieve/663086 on 4/12/22

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