COVID-19 Mobile Positioning Data Contact Tracing and Patient Privacy Regulations: Exploratory Search of Global Response Strategies and the Use of Digital Tools in Nigeria
Abstract:Background
The coronavirus disease (COVID-19) pandemic is the biggest global economic and health challenge of the century. Its effect and impact are still evolving, with deaths estimated to reach 40 million if unchecked. One effective and complementary strategy to slow the spread and reduce the impact is to trace the primary and secondary contacts of confirmed COVID-19 cases using contact tracing technology.
Objective
The objective of this paper is to s… Show more
“…However, ethical and legal issues [ 42 ] are raised with the widespread use of contact tracing and monitoring technologies [ 43 ]. The pressure to protect personal information is higher than ever.…”
Section: Health Technology Applications and Digital Service Practicesmentioning
At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and control the pandemic. Compared with severe acute respiratory syndrome and Middle East Respiratory Syndrome, COVID-19 spreads more rapidly owing to increased globalization, a longer incubation period, and unobvious symptoms. As the coronavirus has the characteristics of strong transmission and weak lethality, and since the large-scale increase of infected people may overwhelm health care systems, efforts are needed to treat critical patients, track and manage the health status of residents, and isolate suspected patients. The application of emerging health technologies and digital practices in health care, such as artificial intelligence, telemedicine or telehealth, mobile health, big data, 5G, and the Internet of Things, have become powerful “weapons” to fight against the pandemic and provide strong support in pandemic prevention and control. Applications and evaluations of all of these technologies, practices, and health delivery services are highlighted in this study.
“…However, ethical and legal issues [ 42 ] are raised with the widespread use of contact tracing and monitoring technologies [ 43 ]. The pressure to protect personal information is higher than ever.…”
Section: Health Technology Applications and Digital Service Practicesmentioning
At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and control the pandemic. Compared with severe acute respiratory syndrome and Middle East Respiratory Syndrome, COVID-19 spreads more rapidly owing to increased globalization, a longer incubation period, and unobvious symptoms. As the coronavirus has the characteristics of strong transmission and weak lethality, and since the large-scale increase of infected people may overwhelm health care systems, efforts are needed to treat critical patients, track and manage the health status of residents, and isolate suspected patients. The application of emerging health technologies and digital practices in health care, such as artificial intelligence, telemedicine or telehealth, mobile health, big data, 5G, and the Internet of Things, have become powerful “weapons” to fight against the pandemic and provide strong support in pandemic prevention and control. Applications and evaluations of all of these technologies, practices, and health delivery services are highlighted in this study.
“…Authors in [41] describe how mobile phone call detail data about population movement patterns can be used for early COVID-19 cluster identification and notification.…”
Section: B Call Detail Records Analysismentioning
confidence: 99%
“…An individual can optionally volunteer to allow their call detail information to be mapped to retrace their movement after they have tested positive. This will help with the accurate decontamination efforts, though [41] noted that accuracy of using call detail registry is between 50meters and 300meters. This location sensitivity can be visualized from a distance between A and B in Figure 10.…”
Automated digital contact tracing is effective and efficient, and one of the non-pharmaceutical complementary approaches to mitigate and manage the epidemics like Coronavirus disease 2019 (COVID-19). Despite the advantages of digital contact tracing, it is not widely used in the western world, including the US and Europe, due to strict privacy regulations and patient rights. We categorized the current approaches for contact tracing, namely: mobile service-provider-application, mobile network operators' call detail, citizen-application, and IoT-based. Current measures for infection control and tracing do not include animals and moving objects like cars despite evidence that these moving objects can be infection carriers. In this paper, we designed and presented a novel privacy anonymous IoT model. We presented an RFID proofof-concept for this model. Our model leverages blockchain's trust-oriented decentralization for on-chain data logging and retrieval. Our model solution will allow moving objects to receive or send notifications when they are close to a flagged, probable, or confirmed diseased case, or flagged place or object. We implemented and presented three prototype blockchain smart contracts for our model. We then simulated contract deployments and execution of functions. We presented the cost differentials. Our simulation results show less than one-second deployment and call time for smart contracts, though, in real life, it can be up to 25 seconds on Ethereum public blockchain. Our simulation results also show that it costs an average of $1.95 to deploy our prototype smart contracts, and an average of $0.34 to call our functions. Our model will make it easy to identify clusters of infection contacts and help deliver a notification for mass isolation while preserving individual privacy. Furthermore, it can be used to understand better human connectivity, model similar other infection spread network, and develop public policies to control the spread of COVID-19 while preparing for future epidemics.
“…para la autoevaluación de los usuarios sobre si pueden tener COVID-19 o no y las indicaciones a seguir 46 . La utilización de apps para el rastreo de contactos a fin de controlar esta pandemia podría ser útil si se prueba su efectividad 47,48 , que está supeditada a que la use una amplia población. Pero estos métodos pueden vulnerar la protección de datos y por eso pueden ser mal aceptadas por los usuarios.…”
Section: ¿Pueden Ayudar Las Apps En El Eecc?unclassified
Resumen Con el objetivo de favorecer la rápida identificación de los contactos de pacientes infectados por SARS-CoV-2 y por tanto el control de la pandemia, se revisaron diferentes metodologías y recomendaciones sobre estudio de contactos (EECC) aplicables a la Atención Primaria (AP) y a la Salud Pública (SP): artículos en Pubmed sobre COVID-19 y EECC, definiciones de contacto en documentos oficiales, el sistema clásico de EECC en tuberculosis (TB), informaciones sobre apps para EECC y el papel de las pruebas diagnósticas. Para establecer medidas de prevención y control eficientes, se precisa actuar siempre bajo sospecha clínica, diagnóstico y aislamiento precoz de los casos y de los contactos y su seguimiento. El modelo clásico de EECC en TB es aplicable a esta nueva infección pero acelerando el proceso dado su carácter agudo y su potencial gravedad. Es imprescindible una buena coordinación entre AP y SP y disponer de recursos suficientes.
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