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The coronavirus disease 2019 (COVID-19) is a severe global pandemic that hasclaimed millions of lives and continues to overwhelm public health systems inmany countries. The spread of COVID-19 pandemic has negatively impacted thehuman mobility patterns such as daily transportation-related behavior of thepublic. There is a requirement to understand the disease spread patterns andits routes among neighboring individuals for the timely implementation ofcorrective measures at the required placement. To increase the effectiveness ofcontact tracing, countries across the globe are leveraging advancements inmobile technology and Internet of Things (IoT) to aid traditional manualcontact tracing to track individuals who have come in close contact withidentified COVID-19 patients. Even as the first administration of vaccinesbegins in 2021, the COVID-19 management strategy will continue to bemulti-pronged for the foreseeable future with digital contact tracing being avital component of the response along with the use of preventive measures suchas social distancing and the use of face masks. After some months of deploymentof digital contact tracing technology, deeper insights into the merits ofvarious approaches and the usability, privacy, and ethical trade-offs involvedare emerging. In this paper, we provide a comprehensive analysis of digitalcontact tracing solutions in terms of their methodologies and technologies inthe light of the new data emerging about international experiences ofdeployments of digital contact tracing technology. We also provide a discussionon open challenges such as scalability, privacy, adaptability and highlightpromising directions for future work.

COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments