The utility of Zip4 codes in spatial epidemiological analysis.

There are many public health situations within the United States that require fine geographical scale data to effectively inform response and intervention strategies. However, a condition for accessing and analyzing such data, especially when multiple institutions are involved, is being able to preserve a degree of spatial privacy and confidentiality. Hospitals and state health departments, who are generally the custodians of these fine-scale health data, are sometimes understandably hesitant to collaborate with each other due to these concerns. This paper looks at the utility and pitfalls of using Zip4 codes, a data layer often included as it is believed to be "safe", as a source for sharing fine-scale spatial health data that enables privacy preservation while maintaining a suitable precision for spatial analysis. While the Zip4 is widely supplied, researchers seldom utilize it. Nor is its spatial characteristics known by data guardians. To address this gap, we use the context of a near-real time spatial response to an emerging health threat to show how the Zip4 aggregation preserves an underlying spatial structure making it potentially suitable dataset for analysis. Our results suggest that based on the density of urbanization, Zip4 centroids are within 150 meters of the real location almost 99% of the time. Spatial analysis experiments performed on these Zip4 data suggest a far more insightful geographic output than if using more commonly used aggregation units such as street lines and census block groups. However, this improvement in analytical output comes at a spatial privy cost as Zip4 centroids have a higher potential of compromising spatial anonymity with 73% of addresses having a spatial k anonymity value less than 5 when compared to other aggregations. We conclude that while offers an exciting opportunity to share data between organizations, researchers and analysts need to be made aware of the potential for serious confidentiality violations.

Privacy and Security Risk Factors Related to Telehealth Services - A Systematic Review.

The objective of the study is to identify challenges and associated factors for privacy and security related to telehealth visits during the COVID-19 pandemic. The systematic search strategy used the databases of PubMed, ScienceDirect, ProQuest, Embase, CINAHL, and COCHRANE, with the search terms of telehealth/telemedicine, privacy, security, and confidentiality. Reviews included peer-reviewed empirical studies conducted from January 2020 to February 2022. Studies conducted outside of the US, non-empirical, and non-telehealth related were excluded. Eighteen studies were included in the final analysis. Three risk factors associated with privacy and security in telehealth practice included: environmental factors (lack of private space for vulnerable populations, difficulty sharing sensitive health information remotely), technology factors (data security issues, limited access to the internet, and technology), and operational factors (reimbursement, payer denials, technology accessibility, training, and education). Findings from this study can assist governments, policymakers, and healthcare organizations in developing best practices in telehealth privacy and security strategies.

CoVnita, an end-to-end privacy-preserving framework for SARS-CoV-2 classification.

Classification of viral strains is essential in monitoring and managing the COVID-19 pandemic, but patient privacy and data security concerns often limit the extent of the open sharing of full viral genome sequencing data. We propose a framework called CoVnita, that supports private training of a classification model and secure inference with the same model. Using genomic sequences from eight common SARS-CoV-2 strains, we simulated scenarios where the data was distributed across multiple data providers. Our framework produces a private federated model, over 8 parties, with a classification AUROC of 0.99, given a privacy budget of [Formula: see text]. The roundtrip time, from encryption to decryption, took a total of 0.298 s, with an amortized time of 74.5 ms per sample.

Cyberthreats: A primer for healthcare professionals.

INTRODUCTION: Cyberattacks are one of the most widespread, damaging, and disruptive forms of action against healthcare entities. Data breaches, ransomware attacks, and other intrusions can lead to significant cost both in monetary and personal harm to those affected and may result in large payouts to cyber criminals, crashes of information technology systems, leaks of protected health and personal information, as well as fines and lawsuits. This study is a descriptive analysis of healthcare-related cyber breaches affecting 500 or more individuals in the past decade in the United States. METHODS: The publicly available U.S. breach report database was downloaded in the Microsoft Excel (Microsoft, Redmond, Washington, USA) format and searched for all reported breaches occurring between January 1, 2011 - December 31, 2021 (10 years). Breaches were subdivided by category and analyzed by states, breach submission dates, types of breach, location of breached information, entity type, and individuals affected. All subcategories were predefined by the breach report. RESULTS: There were a total of 3822 PHI breaches that affected 283,335,803 people in the United States from January 1, 2011 to December 31, 2021. Of the 3822 PHI breaches, 1593 (41.7%) were hacking/ IT related, 1055 (27.6%) were listed as unknown, 819 (21.4%) were theft related, 194 (5.1%) were loss related, 97 (2.5%) were related to improper disposal and 64 (1.7%) were listed as "others". Year 2020 saw the most breaches with 631 and California was the state with the highest number of breaches at 403. CONCLUSION: Cyberattacks and healthcare breaches are one of the most costly and disruptive situations facing healthcare today. A total of 3822 breaches affecting 283,335,803 people in the United States were recorded from January 1, 2011 to December 31, 2021. By understanding the extent of cyberthreats this will better prepare healthcare organizations and providers to mitigate, respond, and recover from these devastating attacks.

Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland.

In the wake of the pandemic of coronavirus disease 2019 (COVID-19), contact tracing has become a key element of strategies to control the spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Given the rapid and intense spread of SARS-CoV-2, digital contact tracing has emerged as a potential complementary tool to support containment and mitigation efforts. Early modelling studies highlighted the potential of digital contact tracing to break transmission chains, and Google and Apple subsequently developed the Exposure Notification (EN) framework, making it available to the vast majority of smartphones. A growing number of governments have launched or announced EN-based contact tracing apps, but their effectiveness remains unknown. Here, we report early findings of the digital contact tracing app deployment in Switzerland. We demonstrate proof-of-principle that digital contact tracing reaches exposed contacts, who then test positive for SARS-CoV-2. This indicates that digital contact tracing is an effective complementary tool for controlling the spread of SARS-CoV-2. Continued technical improvement and international compatibility can further increase the efficacy, particularly also across country borders.

21st Century Cures Act ONC Rule: Implications for Adolescent Care and Confidentiality Protections.

Ensuring the confidentiality and protection of health information is the standard of care for adolescents. In 2023 and beyond, the protection of personal health information is more critical than ever. The 21st Century Cures Act Office of the National Coordinator for Health Information Technology Rule, with its requirements for the broad sharing of electronic health information and ban on "information blocking," poses serious concerns for confidentiality in adolescent health care delivery. The coronavirus disease 2019 pandemic has rapidly increased the use of telehealth and, thereby, patient portal use for adolescent health records, increasing risks for disclosure. Understanding the legal and clinical underpinnings for confidential adolescent health services and the clinical challenges and health information technology limitations presented by the Office of the National Coordinator for Health Information Technology Rule is key to providing quality adolescent health services while implementing the Rule. A framework is presented to facilitate decision-making in individual cases by clinicians.

A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach.

Personal health records (PHR) represent health data managed by a specific individual. Traditional solutions rely on centralized architectures to store and distribute PHR, which are more vulnerable to security breaches. To address such problems, distributed network technologies, including blockchain and distributed hash tables (DHT) are used for processing, storing, and sharing health records. Furthermore, fully homomorphic encryption (FHE) is a set of techniques that allows the calculation of encrypted data, which can help to protect personal privacy in data sharing. In this context, we propose an architectural model that applies a DHT technique called the interplanetary protocol file system and blockchain networks to store and distribute data and metadata separately; two new elements, called data steward and shared data vault, are introduced in this regard. These new modules are responsible for segregating responsibilities from health institutions and promoting end-to-end encryption; therefore, a person can manage data encryption and requests for data sharing in addition to restricting access to data for a predefined period. In addition to supporting calculations on encrypted data, our contribution can be summarized as follows: (i) mitigation of risk to personal privacy by reducing the use of unencrypted data, and (ii) improvement of semantic interoperability among health institutions by using distributed networks for standardized PHR. We evaluated performance and storage occupation using a database with 1.3 million COVID-19 registries, which showed that combining FHE with distributed networks could redefine e-health paradigms.

Ethical, Legal, Organisational and Social Issues of Teleneurology: A Scoping Review.

BACKGROUND: Neurological disorders are the leading cause of disability and the second leading cause of death worldwide. Teleneurology (TN) allows neurology to be applied when the doctor and patient are not present in the same place, and sometimes not at the same time. In February 2021, the Spanish Ministry of Health requested a health technology assessment report on the implementation of TN as a complement to face-to-face neurological care. METHODS: A scoping review was conducted to answer the question on the ethical, legal, social, organisational, patient (ELSI) and environmental impact of TN. The assessment of these aspects was carried out by adapting the EUnetHTA Core Model 3.0 framework, the criteria established by the Spanish Network of Health Technology Assessment Agencies and the analysis criteria of the European Validate (VALues In Doing Assessments of healthcare TEchnologies) project. Key stakeholders were invited to discuss their concerns about TN in an online meeting. Subsequently, the following electronic databases were consulted from 2016 to 10 June 2021: MEDLINE and EMBASE. RESULTS: 79 studies met the inclusion criteria. This scoping review includes 37 studies related to acceptability and equity, 15 studies developed during COVID and 1 study on environmental aspects. Overall, the reported results reaffirm the necessary complementarity of TN with the usual face-to-face care. CONCLUSIONS: This need for complementarity relates to factors such as acceptability, feasibility, risk of dehumanisation and aspects related to privacy and the confidentiality of sensitive data.

Challenges in developmental psychology research during the COVID-19 pandemic / Desafios da pesquisa em psicologia do desenvolvimento durante a pandemia da COVID-19 / Desafíos de la investigación en psicología del desarrollo durante la pandemia de COVID-19

The COVID-19 pandemic brought a series of restructurings necessary for research in Developmental Psychology. The aim of the manuscript is to discuss adaptations we made in our research in this context during the COVID-19 pandemic and to present strategies to adequate research protocols originally designed to occur in person. Although some contexts do not allow the continuity of studies, research at this time can bring essential contributions in this extreme period. This article explores the strategies for adapting recruitment procedures, suggesting dissemination platforms, and using social networks for this purpose. Guidelines are suggested for conducting non-face-to-face interviews with caregivers, ways of assessing the interaction of the mother-child pairs, and problematizing ethical issues. The procedures for returning the results, an ethical researcher commitment, may be improved by resources such as automatic reports. Besides, strategies for better dissemination of the results for the participants are suggested. (AU)

A pandemia COVID-19 trouxe uma série de reestruturações necessárias à pesquisa em Psicologia do Desenvolvimento. O objetivo deste artigo é discutir as adaptações que realizamos em pesquisas neste contexto durante a pandemia de COVID-19 e apresentar estratégias para adequação de protocolos de pesquisa originalmente planejados para ocorrer de forma presencial. Embora alguns contextos não permitam a continuidade dos estudos, pesquisas nesse momento podem trazer importantes contribuições sobre este período ímpar. No presente artigo são exploradas estratégias de adaptação dos procedimentos de recrutamento, sugeridas plataformas de divulgação e como melhor usar as redes sociais para esse fim. Também são descritos procedimentos para realização de entrevistas não presenciais com responsáveis, formas de avaliação da interação das duplas mãe-criança e problematizadas questões éticas. Os procedimentos de devolução dos resultados, um compromisso ético dos pesquisadores, podem ser facilitados por recursos como relatórios automáticos. Além disso, sugerimos estratégias para melhor divulgação dos resultados ao público participante. (AU)

La pandemia del COVID-19 trajo una serie de reestructuraciones necesarias para la investigación en Psicología del Desarrollo. El objetivo de este artículo es discutir las adaptaciones realizadas en las investigaciones en este contexto durante la pandemia de COVID-19 y presentar algunas estrategias para la adaptación de los protocolos de investigación originalmente planeados para ser presenciales. Si bien algunos contextos no permitan la continuidad de los estudios, la investigación en este momento puede aportar importantes avances sobre estos tiempos de crisis. Este artículo explora las estrategias para adaptar los procedimientos de contratación, sugiriendo algunas plataformas de difusión y la mejor manera de utilizar las redes sociales para este fin. También se describen los procedimientos para la realización de entrevistas no presenciales con padres o tutores legales, las formas de evaluar la interacción madre-hijo y las cuestiones éticas. Los procedimientos para la devolución de los resultados, un compromiso ético de los investigadores, pueden verse facilitados por funciones como informes automáticos. Además, se recomienda estrategias para una mejor difusión de los resultados al público participante. (AU)

Current ethical and social issues in epidemiology.

PURPOSE: The American College of Epidemiology held its 2021 Annual Meeting virtually, September 8-10, with a conference theme of 'From Womb to Tomb: Insights from Health Emergencies'. The American College of Epidemiology Ethics Committee hosted a symposium session in recognition of the ethical and social challenges brought to light by the coronavirus disease 2019 pandemic and on the occasion of the publication of the third edition of the classic text, Ethics and Epidemiology. The American College of Epidemiology Ethics Committee invited the book editor and contributing authors to present at the symposium session titled 'Current Ethical and Social Issues in Epidemiology.' The purpose of this paper is to further highlight the ethical challenges and presentations. METHODS: Three speakers with expertise in ethics, health law, health policy, global health, health information technology, and translational research in epidemiology and public health were selected to present on the social and ethical issues in the current landscape. Dr. S Coughlin presented on the 'Ethical and Social Issues in Epidemiology', Dr. L Beskow presented on 'Ethical Challenges in Genetic Epidemiology', and Dr. K Goodman presented on the 'Ethics of Health Informatics'. RESULTS: New digital sources of data and technologies are driving the ethical challenges and opportunities in epidemiology and public health as it relates to the three emerging topic areas identified: (1) digital epidemiology, (2) genetic epidemiology, and (3) health informatics. New complexities such as the reliance on social media to control infectious disease outbreaks and the introduction of computing advancements are requiring re-evaluation of traditional bioethical frameworks for epidemiology research and public health practice. We identified several cross-cutting ethical and social issues related to informed consent, benefits, risks and harms, and privacy and confidentiality and summarized these alongside more nuanced ethical considerations such as algorithmic bias, group harms related to data (mis)representation, risks of misinformation, return of genomic research results, maintaining data security, and data sharing. We offered an integrated synthesis of the stages of epidemiology research planning and conduct with the ethical issues that are most relevant in these emerging topic areas. CONCLUSIONS: New realities exist for epidemiology and public health as professional groups who are faced with addressing population health, and especially given the recent pandemic and the widespread use of digital tools and technologies. Many ethical issues can be understood in the context of existing ethical frameworks; however, they have yet to be clearly identified or connected with the new technical and methodological applications of digital tools and technologies currently in use for epidemiology research and public health practice. To address current ethical challenges, we offered a synthesis of traditional ethical principles in public health science alongside more nuanced ethical considerations for emerging technologies and aligned these with lifecycle stages of epidemiology research. By critically reflecting on the impact of new digital sources of data and technologies on epidemiology research and public health practice, specifically in the control of infectious outbreaks, we offered insights on cultivating these new areas of professional growth while striving to improve population health.

Times Constraints, Lack of Confidence in Treatment, Stigma, and Confidentiality Concerns: Barriers to Care Among First-year Internal Medicine Residents During the COVID-19 Pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has presented unprecedented challenges for frontline health care workers. First-year medical residents have been at high risk of psychological distress given these challenges as well as those related to transitioning to a provider role. Virtual peer discussion groups were organized for first-year residents (N=47) at a large, American academic medical center to process the emotional impacts from the pandemic and provide support. Residents completed an anonymous survey before the initiation of the discussion groups to assess their level of psychological distress, perceived sources of stress, impact of the pandemic on their mental health, and attitudes toward seeking mental health services. Results from the survey identified time constraints as the greatest barrier to accessing mental health care, followed by lack of confidence in treatment, stigma, and concerns about confidentiality. We discuss potential ways to address some of these barriers to improve access and acceptability of mental health support for this specific population during a pandemic.

Understanding the Antecedents and Effects of mHealth App Use in Pandemics: A Sequential Mixed-Method Investigation.

Pandemics such as COVID-19 pose serious threats to public health and disrupt the established systems for obtaining healthcare services. Mobile health (mHealth) apps serve the general public as a potential method for coping with these exogenous challenges. However, prior research has rarely discussed the antecedents and effects of mHealth apps and their use as a coping method during pandemics. Based on the technology acceptance model, empowerment theory, and event theory, we developed a research model to examine the antecedents (technology characteristics and event strength) and effects (psychological empowerment) of mHealth apps and their use. We tested this research model through a sequential mixed-method investigation. First, a quantitative study based on 402 Chinese mHealth users who used the apps during the COVID-19 pandemic was conducted to validate the theoretical model. A follow-up qualitative study of 191 online articles and reviews on mHealth during the COVID-19 pandemic was conducted to cross-validate the results and explain the unsupported findings of the quantitative study. The results show that (1) the mHealth app characteristics (perceived usefulness and perceived ease of use) positively affect mHealth app use; (2) mHealth app use positively affects the psychological empowerment of mHealth users; and (3) the characteristics of pandemic events (event criticality and event disruption) have positive moderating effects on the relationship between mHealth app characteristics and mHealth app use. This study explains the role of mHealth apps in the COVID-19 pandemic on the micro-level, which has implications for the ways in which mHealth apps are used in response to public pandemics.

Cybersecurity Awareness and Training (CAT) Framework for Remote Working Employees.

Currently, cybersecurity plays an essential role in computing and information technology due to its direct effect on organizations' critical assets and information. Cybersecurity is applied using integrity, availability, and confidentiality to protect organizational assets and information from various malicious attacks and vulnerabilities. The COVID-19 pandemic has generated different cybersecurity issues and challenges for businesses as employees have become accustomed to working from home. Firms are speeding up their digital transformation, making cybersecurity the current main concern. For software and hardware systems protection, organizations tend to spend an excessive amount of money procuring intrusion detection systems, antivirus software, antispyware software, and encryption mechanisms. However, these solutions are not enough, and organizations continue to suffer security risks due to the escalating list of security vulnerabilities during the COVID-19 pandemic. There is a thriving need to provide a cybersecurity awareness and training framework for remote working employees. The main objective of this research is to propose a CAT framework for cybersecurity awareness and training that will help organizations to evaluate and measure their employees' capability in the cybersecurity domain. The proposed CAT framework will assist different organizations in effectively and efficiently managing security-related issues and challenges to protect their assets and critical information. The developed CAT framework consists of three key levels and twenty-five core practices. Case studies are conducted to evaluate the usefulness of the CAT framework in cybersecurity-based organizational settings in a real-world environment. The case studies' results showed that the proposed CAT framework can identify employees' capability levels and help train them to effectively overcome the cybersecurity issues and challenges faced by the organizations.

The value of community-integrated health information exchanges: three recent examples from El Paso, Texas.

The foundational role of health information exchanges (HIEs) is to facilitate communication between clinical partners in real time. Once this infrastructure for the secure and immediate flow of patient information is built, however, HIEs can benefit community public health and clinical care in myriad other ways that are in line with their mission, goals, patient privacy, and funding structures. We encourage the development of community-integrated HIEs and list specific steps that can be taken toward community integration. We give three examples of those steps in action from a community HIE in El Paso, TX. Each local partnership, in combination with technology innovation, resulted in the development of informatics tools to address community health needs and generated long-term benefits, especially for the most vulnerable patients. Two examples relate to different aspects of the COVID-19 pandemic and a third to the Afghan refugee evacuation.

Privacy Risks in Microbiome Research: Public Perspectives before and during a Global Pandemic.

We assessed public perspectives of microbiome research privacy risks before and after a nationwide emergency was declared in the United States regarding the Covid-19 pandemic. From January to July of 2020, we conducted an online survey of perceived privacy risks of microbiome research among U.S. adults. Among 3,106 participants (the preemergency group), most expressed that the microbiome posed privacy risks similar to those associated with DNA (60.3%) or medical records (50.6%) and that they would prefer detailed explanations (70.2%) of risk in consent materials. Only 8.9% reported moderate to high familiarity with microbiome privacy risks. In adjusted analyses, individuals who participated in the study after the Covid-19 emergency was declared (the Covid-19 emergency group) were less likely to express that microbiome privacy risks were similar to those of DNA or medical records and more likely to report familiarity with the privacy risks of microbiomes. There was a trend toward increased concern after the Covid-19 emergency was declared (p = 0.053). Overall, the study revealed that many U.S. adults believe that microbiome privacy risks are similar to those associated with DNA or medical records, and they prefer detailed explanations in consent documents. Individuals who participated after the Covid-19 emergency was declared reported greater knowledge of microbiome privacy risks but had more concern.