scholarly journals Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications

2022 ◽  
Vol 7 ◽  
pp. e826
Author(s):  
Amany Alshawi ◽  
Muna Al-Razgan ◽  
Fatima H. AlKallas ◽  
Raghad Abdullah Bin Suhaim ◽  
Reem Al-Tamimi ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
Data Privacy ◽  
Public Law ◽  
Contact Tracing ◽  
Assessment Procedure ◽  
Control And Prevention ◽  
Novel Coronavirus ◽  
Privacy Issues

Background On January 8, 2020, the Centers for Disease Control and Prevention officially announced a new virus in Wuhan, China. The first novel coronavirus (COVID-19) case was discovered on December 1, 2019, implying that the disease was spreading quietly and quickly in the community before reaching the rest of the world. To deal with the virus’ wide spread, countries have deployed contact tracing mobile applications to control viral transmission. Such applications collect users’ information and inform them if they were in contact with an individual diagnosed with COVID-19. However, these applications might have affected human rights by breaching users’ privacy. Methodology This systematic literature review followed a comprehensive methodology to highlight current research discussing such privacy issues. First, it used a search strategy to obtain 808 relevant papers published in 2020 from well-established digital libraries. Second, inclusion/exclusion criteria and the snowballing technique were applied to produce more comprehensive results. Finally, by the application of a quality assessment procedure, 40 studies were chosen. Results This review highlights privacy issues, discusses centralized and decentralized models and the different technologies affecting users’ privacy, and identifies solutions to improve data privacy from three perspectives: public, law, and health considerations. Conclusions Governments need to address the privacy issues related to contact tracing apps. This can be done through enforcing special policies to guarantee users privacy. Additionally, it is important to be transparent and let users know what data is being collected and how it is being used.

scholarly journals Federated Learning in a Medical Context: A Systematic Literature Review

2021 ◽  
Vol 21 (2) ◽  
pp. 1-31
Author(s):  
Bjarne Pfitzner ◽  
Nico Steckhan ◽  
Bert Arnrich
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Privacy ◽  
Research Area ◽  
Learning Models ◽  
Related Data ◽  
Private Data ◽  
Large Databases ◽  
Machine Learning Models

Data privacy is a very important issue. Especially in fields like medicine, it is paramount to abide by the existing privacy regulations to preserve patients’ anonymity. However, data is required for research and training machine learning models that could help gain insight into complex correlations or personalised treatments that may otherwise stay undiscovered. Those models generally scale with the amount of data available, but the current situation often prohibits building large databases across sites. So it would be beneficial to be able to combine similar or related data from different sites all over the world while still preserving data privacy. Federated learning has been proposed as a solution for this, because it relies on the sharing of machine learning models, instead of the raw data itself. That means private data never leaves the site or device it was collected on. Federated learning is an emerging research area, and many domains have been identified for the application of those methods. This systematic literature review provides an extensive look at the concept of and research into federated learning and its applicability for confidential healthcare datasets.

Impact of COVID-19 CORONAVIRUS PANDEMIC on sustainable development goals: What we learn from the past and where we are heading?

2020 ◽  
Vol 1 (1) ◽  
pp. 30-47
Author(s):  
Muhammad Imran Qureshi ◽  
Nohman Khan
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Economic Recession ◽  
Historical Background ◽  
Screening Process ◽  
Infected People ◽  
The Past ◽  
Development Goals ◽  
Novel Coronavirus ◽  
Human Infections

The recent deadly outbreak of Novel Coronavirus (2019-COVID) accompanying human to human spread caused severe human infections.  COVID19 initially encountered at the city of Wuhan in Hubei province in China.  It spread rapidly, and the number of infected people, as well as fatality ratio, increased drastically around the globe. This study aims to identify the historical background of the coronavirus family that is already affected the civilization and animals. This study overviewed the overall literature published on the Coronavirus. The Scopus database is selected to analyse the published literature. The research methodology followed a strict screening process recommended in the PRISMA statement framework (2015) for the screening and quality assessment of systematic literature review. Final 41 studies were included for the systematic literature review. A systematic review of the past literature identified severe acute respiratory syndrome coronavirus (SARS), Middle East Respiratory Syndrome Coronavirus (MERS), bovine Coronavirus, canine Coronavirus and feline Coronavirus are the significant classifications of Coronavirus family discuss in the literature. This study contributes to the literature by providing an elaboration of detailed mapping of the existing literature on the reviews of Coronavirus pandemic that is a more significant challenge for humanity in the current circumstances. Finally, the future of the world after the 2019-COVID is more challenging and vital for understanding in terms of economic and social perspective. Social structures will change the current situation is showing based on literature and reports. The economic recession will be prolonged if the researchers are not able to find the solution for the Coronavirus.

scholarly journals A systematic literature review of Native American and Pacific Islanders’ perspectives on health data privacy in the United States

2020 ◽  
Vol 27 (12) ◽  
pp. 1987-1998
Author(s):  
Riley Taitingfong ◽  
Cinnamon S Bloss ◽  
Cynthia Triplett ◽  
Julie Cakici ◽  
Nanibaa’ Garrison ◽  
...  
Keyword(s):  
Native American ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Alaska Native ◽  
Health Research ◽  
Data Privacy ◽  
Indigenous Communities ◽  
The United States ◽  
Health Data ◽  
Willingness To Participate

Abstract Background Privacy-related concerns can prevent equitable participation in health research by US Indigenous communities. However, studies focused on these communities' views regarding health data privacy, including systematic reviews, are lacking. Methods We conducted a systematic literature review analyzing empirical, US-based studies involving American Indian/Alaska Native (AI/AN) and Native Hawaiian or other Pacific Islander (NHPI) perspectives on health data privacy, which we define as the practice of maintaining the security and confidentiality of an individual’s personal health records and/or biological samples (including data derived from biological specimens, such as personal genetic information), as well as the secure and approved use of those data. Results Twenty-one studies involving 3234 AI/AN and NHPI participants were eligible for review. The results of this review suggest that concerns about the privacy of health data are both prevalent and complex in AI/AN and NHPI communities. Many respondents raised concerns about the potential for misuse of their health data, including discrimination or stigma, confidentiality breaches, and undesirable or unknown uses of biological specimens. Conclusions Participants cited a variety of individual and community-level concerns about the privacy of their health data, and indicated that these deter their willingness to participate in health research. Future investigations should explore in more depth which health data privacy concerns are most salient to specific AI/AN and NHPI communities, and identify the practices that will make the collection and use of health data more trustworthy and transparent for participants.

Trends and challenges of visual search interfaces in digital libraries and repositories

2017 ◽  
Vol 35 (1) ◽  
pp. 69-98 ◽  
Author(s):  
Paul Alonso Gaona-García ◽  
David Martin-Moncunill ◽  
Carlos Enrique Montenegro-Marin
Keyword(s):  
Visual Search ◽  
Literature Review ◽  
Systematic Literature Review ◽  
User Interfaces ◽  
Digital Libraries ◽  
Content Type ◽  
Information Visualisation ◽  
Knowledge Organisation ◽  
Depth Analysis ◽  
Use Of Knowledge

Purpose This paper aims to present an overview of the challenges encountered in integrating visual search interfaces into digital libraries and repositories. These challenges come in various forms, including information visualisation, the use of knowledge organisation systems and metadata quality. The main purpose of this study is the identification of criteria for the evaluation and integration of visual search interfaces, proposing guidelines and recommendations to improve information retrieval tasks with emphasis on the education-al context. Design/methodology/approach The information included in this study was collected based on a systematic literature review approach. The main information sources were explored in several digital libraries, including Science Direct, Scopus, ACM and IEEE, and include journal articles, conference proceedings, books, European project reports and deliverables and PhD theses published in an electronic format. A total of 142 studies comprised the review. Findings There are several issues that authors did not fully discuss in this literature review study; more specific, aspects associated with access of digital resources in digital libraries and repositories based on human computer interaction, i.e. usability and learnability of user interfaces; design of a suitable navigation method of search based on simple knowledge organisation schemes; and the use of usefulness of visual search interfaces to locate relevant resources. Research limitations/implications The main steps for carrying out a systematic review are drawn from health care; this methodology is not commonly used in fields such as digital libraries and repositories. The authors aimed to apply the fundamentals of the systematic literature review methodology considering the context of this study. Additionally, there are several aspects of accessibility that were not considered in the study, such as accessibility to content for disabled people as defined by ISO/IEC 40500:2012. Originality/value No other systematic literature reviews have been conducted in this field. The research presents an in-depth analysis of the criteria associated with searching and navigation methods based on the systematic literature review approach. The analysis is relevant for researchers in the field of digital library and repository creation in that it may direct them to considerations in designing and implementing visual search interfaces based on the use of information visualisation.

scholarly journals Virtual reality for older users: a systematic literature review

2019 ◽  
Vol 19 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Rômulo Santos Silva ◽  
Artur Martins Mol ◽  
Lucila Ishitani
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
The Elderly ◽  
Virtual Reality Technology ◽  
Use Of Technology ◽  
Virtual And Augmented Reality ◽  
Future Work ◽  
State Of Art

The use of technologies by the elderly is still restricted, especially concerning recent technologies. To better understand the older user experience, while using virtual reality technology, we performed a Systematic Literature Review. The databases selected for research were the digital libraries of ACM, IEEE, Science Direct and Google Scholar. During the literature review, we col- lected information about the characteristics of the participants of the studies selected, the experiences reported about the use of technology, the research method used, the technologies chosen for the tests, the results obtained and future work suggested. The main contributions of this work were to identify the state of art of virtual and augmented reality for older people, the possible applications of these technologies to them, the most used devices and also the considerations reported by previous experiences.

scholarly journals Exploring the role and mechanism of COVID-19 apps in fighting the current pandemic

2020 ◽  
Vol 0 ◽  
pp. 1-6
Author(s):  
Karthikeyan P. Iyengar ◽  
Rachit Jain ◽  
David Ananth Samy ◽  
Vijay Kumar Jain ◽  
Raju Vaishya ◽  
...  
Keyword(s):  
Data Privacy ◽  
Viral Transmission ◽  
Contact Tracing ◽  
The Novel ◽  
Test Track ◽  
The World ◽  
Novel Coronavirus ◽  
And Control ◽  
Second Wave ◽  
Transmission Test

As COVID-19 pandemic spread worldwide, policies have been developed to contain the disease and prevent viral transmission. One of the key strategies has been the principle of “‘test, track, and trace” to minimize spread of the virus. Numerous COVID-19 contact tracing applications have been rolled around the world to monitor and control the spread of the disease. We explore the characteristics of various COVID-19 applications and especially the Aarogya Setu COVID-19 app from India in its role in fighting the current pandemic. We assessed the current literature available to us using conventional search engines, including but not limited to PubMed, Google Scholar, and Research Gate in May 2020 till the time of submission of this article. The search criteria used MeSH keywords such as “COVID-19,” “pandemics,” “contact tracing,” and “mobile applications.” A variable uptake of different COVID-19 applications has been noted with increasing enrolment around the world. Security concerns about data privacy remain. The various COVID-19 applications will complement manual contact tracing system to assess and prevent viral transmission. Test, track, trace, and support policy will play a key role in avoidance of a “second wave” of the novel coronavirus severe acute respiratory syndrome coronavirus 2 outbreak.

scholarly journals A Review of Contact Tracing Approaches for Controlling COVID-19 Pandemic

2021 ◽  
pp. 31-38
Author(s):  
Md. Tanvir Rahman ◽  
Taslima Ferdaus Shuva ◽  
Risala Tasin Khan ◽  
Mostofa Kamal Nasir
Keyword(s):  
System Architecture ◽  
Data Privacy ◽  
Contact Tracing ◽  
Research Directions ◽  
Attribute Data ◽  
Work From Home ◽  
The World ◽  
History Of ◽  
Novel Coronavirus ◽  
Close Contacts

The year 2020 will always be in the history of mankind due to the deadly outbreak of COVID-19. Many people are already infected around the world due to the spreading of this novel coronavirus. The virus mainly replicates through close contacts, so there are no other alternatives than to keep social distance, use proper safety gear, and maintain self-quarantine. As a result, the growth of the virus has changed the lifestyle of every individual to a great extent. It is also compelling the Governments to dictate strict lock-downs of the highly affected areas, impose work-from-home approaches where applicable, enforce strict social distancing standards, and so on. Some of the countries are also using smartphone-based applications for contact tracing to track the possibly infected individuals. However, there is a lot of discussion around the world about these contact tracing applications and also about their architecture, attribute, data privacy, and so on. In this paper, we have provided a comprehensive review of these contact tracing approaches in terms of their system architecture, key attributes, and data privacy. We have also outlined a list of potential research directions that can improvise the tracing performance while maintaining the privacy of the user to a great extent.

scholarly journals Information Diffusion Model in Twitter: A Systematic Literature Review

Information ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 13
Author(s):  
Firdaniza Firdaniza ◽  
Budi Nurani Ruchjana ◽  
Diah Chaerani ◽  
Jaziar Radianti
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
Information Diffusion ◽  
Diffusion Modeling ◽  
Exclusion Criteria ◽  
Research Themes ◽  
Twitter Analytics ◽  
Information Diffusion Model ◽  
Stage Analysis

Information diffusion, information spread, and influencers are important concepts in many studies on social media, especially Twitter analytics. However, literature overviews on the information diffusion of Twitter analytics are sparse, especially on the use of continuous time Markov chain (CTMC). This paper examines the following topics: (1) the purposes of studies about information diffusion on Twitter, (2) the methods adopted to model information diffusion on Twitter, (3) the metrics applied, and (4) measures used to determine influencer rankings. We employed a systematic literature review (SLR) to explore the studies related to information diffusion on Twitter extracted from four digital libraries. In this paper, a two-stage analysis was conducted. First, we implemented a bibliometric analysis using VOSviewer and R-bibliometrix software. This approach was applied to select 204 papers after conducting a duplication check and assessing the inclusion–exclusion criteria. At this stage, we mapped the authors’ collaborative networks/collaborators and the evolution of research themes. Second, we analyzed the gap in research themes on the application of CTMC information diffusion on Twitter. Further filtering criteria were applied, and 34 papers were analyzed to identify the research objectives, methods, metrics, and measures used by each researcher. Nonhomogeneous CTMC has never been used in Twitter information diffusion modeling. This finding motivates us to further study nonhomogeneous CTMC as a modeling approach for Twitter information diffusion.

scholarly journals Digital Twin (DT) in Smart Energy Systems - Systematic Literature Review of DT as a growing solution for Energy Internet of the Things (EIoT)

2021 ◽  
Vol 312 ◽  
pp. 09002
Author(s):  
Ali Aghazadeh Ardebili ◽  
Antonella Longo ◽  
Antonio Ficarella
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
Energy Systems ◽  
Energy System ◽  
Services Research ◽  
Digital Twin ◽  
Smart Energy Systems ◽  
Main Motive ◽  
Research Questions

In the industry 4.0 era, the Smart Energy System (SES) should be able to address the emerging challenges of digitization and socioeconomic/ecologic transition along with other critical entities of the society. However, because of the complexity of this system, both researchers and practitioners are seeking an agile and smart solution. The main motive of this review is to investigate the applications and implementation of Digital Twin (DT) in the provision of energy services. Research Questions (RQ) of this study include: RQ1: What are the applications of DT in SES and how effective is DT in that use case of EIoT? RQ2: Which issues of an SES can be addressed efficiently by using DT? Through answering the mentioned questions, the current study is heading to following objectives (O), O1: Describe the state of the art of DT in SES. O2: Develop a direction for energy 4.0 management through listing the applications, challenges and important factors of implementing DTs. O3: Provide a list of various approaches in employing DT in the scope of SES. The current study is a systematic literature review (SLR), based on SCOPUS, WOS and IEEE digital libraries. Two keywords (namely “Digital Twin” and “Energy Systems”) have been first used. To achieve the final list of articles, 2 levels of screening have been conducted. The first Screening was based on the relevance of the results concerning research objectives. The second screening was an abstract study. The exclusion/inclusion criteria in the abstract study were based on the research questions. The papers that have the potential of answering one of the research questions have been included. Since the implementation of DT is a rather new topic, both backward snowballing and forward snowballing strategies are implemented to finalize the article selection phase. 60 articles identified by searching through scientific databases and 11 articles have been appended to the list during the snowballing process. The results of the current review provide a managerial guideline for practitioners that are heading to utilize DT, along with an anthology of DT within SES scope to feed possible future studies.

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