Trust Concerns in Health Apps collecting Personally Identifiable Information during COVID-19-like Zoonosis
Molla Rashied Hussein, Md. Ashikur Rahman, Md. Jahidul Hassan, Mojumder, Shakib Ahmed, Samia Naz Isha, Shaila Akter, Abdullah Bin Shams,, Ehsanul Hoque Apu

TL;DR
This paper examines trust issues in health apps collecting PII during COVID-19, analyzing their design, limitations, and user trust concerns to improve privacy and security in future health crises.
Contribution
It provides a comprehensive analysis of health app trust issues during COVID-19 and offers recommendations to enhance user trust and privacy protection.
Findings
Identifies trust defiance in health apps due to privacy concerns
Analyzes limitations of current health applications during COVID-19
Suggests strategies to improve user trust and app security
Abstract
Coronavirus disease 2019, or COVID-19 in short, is a zoonosis, i.e., a disease that spreads from animals to humans. Due to its highly epizootic nature, it has compelled the public health experts to deploy smartphone applications to trace its rapid transmission pattern along with the infected persons as well by utilizing the persons' personally identifiable information. However, these information may summon several undesirable provocations towards the technical experts in terms of privacy and cyber security, particularly the trust concerns. If not resolved by now, the circumstances will affect the mass level population through inadequate usage of the health applications in the smartphones and thus liberate the forgery of a catastrophe for another COVID-19-like zoonosis to come. Therefore, an extensive study was required to address this severe issue. This paper has fulfilled the study…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
