An Overview of Privacy Policies for Pulse Oximeter Apps During COVID-19 (Preprint)

2021 ◽  
Author(s):  
Rachele Hendricks-Sturrup

BACKGROUND Pulse oximeter apps became of interest to consumers and app users during COVID-19, particularly when traditional over-the-counter pulse oximeter devices became in short supply. Yet, no study to date has examined the privacy implications to engaging in or using pulse oximeter apps that are downloadable to individual mobile devices. OBJECTIVE This study sought to examine privacy implications, through an assessment of privacy policies, for using top-rated or -downloaded pulse oximeter apps during COVID-19. METHODS We reviewed privacy policies for a total of six pulse oximeter apps that had either at least 500 downloads (Google Play Store apps only) or a three out of five-star rating (Apple Store apps only). The privacy policies were reviewed against current privacy best practices for wellness apps: 1) what data is collected, and how is it collected, stored, used, secured, and disclosed; 2) uses of data for advertising (ad); 3) de-identification commitments, 4) whether any covered data will be used or shared for research; 5) users’ options regarding access, correction, or deletion of covered data; 6) under what circumstances covered data is intended to be collected from nonusers; and 7) how the company responds to requests for users’ covered data from federal, state, local, or foreign law and civil enforcement agencies. RESULTS There is variation in both the regulatory nature and data privacy protections offered by pulse oximeter apps, with notable privacy protection limitations and gaps. CONCLUSIONS Pulse oximeter app users are highly encouraged to seek professional medical advice before using or relying on pulse oximeter apps. App developers are also encouraged to review and incorporate existing privacy best practices into the design of their apps and development of their privacy policies.

Author(s):  
Sema Bulat Demir ◽  
Ayten Övür

Nowadays, social media platforms are frequently being used on the Internet. When the users create an account for these platforms, they are required to accept the data privacy policy. With the approval of the data policy, major problems may arise such as observing every activity of users on the platform, violations of security and protection of personal data, and sharing user data with third parties for commercial purposes. In this regard, it is significant to examine the privacy policies of social media platforms in detail. In this research, we examined the privacy policies of the five most popular free applications on the communication section of the Google Play Store on January 30th, 2021. The privacy policies of these applications were analyzed with the content analysis method, and the research aims to reveal the area of utilization of the data that the users provide, with or without the permission of the user.


2021 ◽  
Author(s):  
Lorna Migiro ◽  
Hossain Shahriar ◽  
Sweta Sneha

BACKGROUND Contact tracing has been implemented as a necessary tool to slow the spread outbreaks over the years. During the COVID-19 pandemic, the introduction of digital applications has allowed a lot of flexibility regarding transmission by driving more people to testing and quarantine. OBJECTIVE This study discusses contact tracing application usage in COVID-19, compare and analyze them based on HIPPA privacy rule. We also discuss challenges facing these new applications and recommend best practices. METHODS The research sampled top ten applications currently in use. Using Android devices, we downloaded and interacted with apps that had over 100,000 downloads on google play store the way a normal user would. we reviewed their privacy policies and compared them against HIPPAs’ privacy rule and generated a checklist. RESULTS The study interacted and analyzed 10 contact tracing applications, particular attention was paid to how the apps’ privacy policies and Google Play Store app privacy policy descriptions disclosed information. CONCLUSIONS Contact tracing applications have proved to be a fundamental pillar during this pandemic. Aligning this apps with the HIPPA privacy rule is one of the major challenges they face. Privacy concerns, user adoption and perception obstacles have also been associated with this apps. CLINICALTRIAL Not applicable.


Südosteuropa ◽  
2019 ◽  
Vol 67 (2) ◽  
pp. 234-263
Author(s):  
Ekaterina Skoglund ◽  
Astrid Bretthauer

AbstractGermany is an important destination for migrants from other European countries. That is particularly true of the Danube region, a European Union (EU) macroregion with deep economic and historical interconnections. Immigrants tend to be younger than the average of the German population, with children accounting for 15% of all migrants. The authors start with a short overview of the theoretical and empirical literature on preschool and early education as a tool for acquisition by immigrant children of the host country’s language. The focus is then shifted to the policy sphere, with the example of Germany and in particular the federal state of Bavaria, in the context of the challenges and best practices used to tackle the integration of such children. The article considers Regensburg, the fourth-largest city in the State of Bavaria, and the Landkreis (district) Kelheim to the southwest of Regensburg as case studies to illustrate the similarities and differences of their municipal approaches to the promotion of German language acquisition by immigrant children and their parents.


2011 ◽  
pp. 2106-2121 ◽  
Author(s):  
Ramanathan Somasundaram

In this chapter, the concept of e-government procurement (e-GP), as it is being implemented in India, is explained. Furthermore, a set of six challenges encountered during implementation of e-procurement is discussed in depth. The six challenges discussed in the chapter are: lack of skilled personnel; multi-departmental implementation; inadequate IT and networking infrastructure; challenges in implementation of state-wide system; the need to regulate e-procurement market; and replicating best practices in federal state setup. A practitioner’s perspective is adopted to write this chapter. While this chapter deals specifically with e-GP in India, certain aspects of it can be generalized to e-GP implementations elsewhere in the world. Such generalization is possible since government procurement is driven by the same set of principles such as efficiency and transparency.


Author(s):  
Zerin Mahzabin Khan ◽  
Rukhsana Ahmed ◽  
Devjani Sen

No previous research on cancer mobile applications (apps) has investigated issues associated with the data privacy of its consumers. The current chapter addressed this gap in the literature by assessing the content of online privacy policies of selected cancer mobile apps through applying a checklist and performing an in-depth critical analysis to determine how the apps communicated their privacy practices to end users. The results revealed that the privacy policies were mostly ambiguous, with content often presented in a complex manner and inadequate information on the ownership, use, disclosure, retention, and collection of end users' personal data. These results highlight the importance of improving the transparency of privacy practices in health and fitness cancer mobile apps to clearly and effectively communicate how end users' personal data are collected, stored, and shared. The chapter concludes with recommendations and discussion on practical implications for stakeholders like cancer app users, developers, policymakers, and clinicians.


Teknologi ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 46-58
Author(s):  
Syifa Ilma Nabila Suwandi ◽  
◽  
Xavier Wahyuadi Seloatmodjo ◽  
Alexandra Situmorang ◽  
Nur Aini Rakhmawati ◽  
...  

The presence of user contact applications in the community as a means of preventing and overcoming the spread of COVID-19 can pose another risk to the potential dangers of protecting data privacy from contact tracing. This research examines more deeply related to user privacy policies through 3 (three) samples of android-based user contact applications that are used as a means of preventing, overcoming and controlling the spread of the COVID-19 virus in today's society and by reviewing the rules contained in the Presidential Regulation of the Republic. Indonesian No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE). The study in this study was prepared using the method of literature study, observation and qualitative analysis. A comparison was made regarding the data privacy of the three samples, which was then evaluated and matched with the form of the privacy policy according to Presidential Regulation No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and according to the ideal form of data privacy policy based on several experts. Comparative data is obtained through related applications and other electronic media which are then discussed together to conclude and evaluate the data privacy policies of the three sample applications. Based on this research, it can be concluded that privacy intervention to deal with damage and save lives is legal as long as its use is in accordance with regulations in the health, disaster, telecommunications, informatics and other related fields; in this case listed in the Presidential Decree No. 95 of 2018 concerning Electronic-Based Government Systems (SPBE) and there needs to be an increase in efforts to maintain the security and confidentiality of user data privacy through continuous system and data maintenance, encryption of data privacy storage in the manager's data warehouse and added with other data privacy policies can guarantee the security and confidentiality of the privacy of user data.


2019 ◽  
Vol 2019 (3) ◽  
pp. 66-86 ◽  
Author(s):  
Sebastian Zimmeck ◽  
Peter Story ◽  
Daniel Smullen ◽  
Abhilasha Ravichander ◽  
Ziqi Wang ◽  
...  

Abstract The app economy is largely reliant on data collection as its primary revenue model. To comply with legal requirements, app developers are often obligated to notify users of their privacy practices in privacy policies. However, prior research has suggested that many developers are not accurately disclosing their apps’ privacy practices. Evaluating discrepancies between apps’ code and privacy policies enables the identification of potential compliance issues. In this study, we introduce the Mobile App Privacy System (MAPS) for conducting an extensive privacy census of Android apps. We designed a pipeline for retrieving and analyzing large app populations based on code analysis and machine learning techniques. In its first application, we conduct a privacy evaluation for a set of 1,035,853 Android apps from the Google Play Store. We find broad evidence of potential non-compliance. Many apps do not have a privacy policy to begin with. Policies that do exist are often silent on the practices performed by apps. For example, 12.1% of apps have at least one location-related potential compliance issue. We hope that our extensive analysis will motivate app stores, government regulators, and app developers to more effectively review apps for potential compliance issues.


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