ArticleIEEE access : practical innovations, open solutions2020
Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19.
Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature.Healthcare (Basel, Switzerland) · 2025Review
- A tree-based explainable AI model for early detection of Covid-19 using physiological data.BMC medical informatics and decision making · 2024Article
- COVID-19 contact tracking based on person reidentification and geospatial data.Journal of King Saud University. Computer and information sciences · 2023Article
- A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions.Computer networks · 2023Review
- Spatio-temporal modeling of infectious diseases by integrating compartment and point process models.Stochastic environmental research and risk assessment : research journal · 2023Article
- Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models.Spatial statistics · 2022Article
- A methodology for evaluating digital contact tracing apps based on the COVID-19 experience.Scientific reports · 2022Article
- Assessing the Implementation of Digital Innovations in Response to the COVID-19 Pandemic to Address Key Public Health Functions: Scoping Review of Academic and Nonacademic Literature.JMIR public health and surveillance · 2022Article
- COVID Student Study: A Year in the Life of College Students during the COVID-19 Pandemic Through the Lens of Mobile Phone Sensing.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2022Article
- Reconstruction of the transmission dynamics of the first COVID-19 epidemic wave in Thailand.Scientific reports · 2022Article
- Contextual contact tracing based on stochastic compartment modeling and spatial risk assessment.Stochastic environmental research and risk assessment : research journal · 2022Article
- Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing.IEEE transactions on computational social systems · 2021Article
- Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies.Health information science and systems · 2021Review
- Internet of Things Based Contact Tracing Systems.Sensors (Basel, Switzerland) · 2021Review
- Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data.Scientific reports · 2021Article
- Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation.JMIR medical informatics · 2021Article
- An Unsupervised Learning-Based Spatial Co-Location Detection System from Low-Power Consumption Sensor.Sensors (Basel, Switzerland) · 2021Article
- Beyond contact-tracing: The public value of eHealth application in a pandemic.Government information quarterly · 2021Article
- How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detecting and controlling the diffusion of infectious diseases such as COVID-19 is crucial to managing epidemics. One common measure taken to contain or reduce diffusion is to detect infected individuals and trace their prior contacts so as to then selectively isolate any individuals likely to have been infected. These prior contacts can be traced using mobile devices such as smartphones or smartwatches, which can continuously collect the location and contacts of their owners by using their embedded localisation and communications technologies, such as GPS, Cellular networks, Wi-Fi, and Bluetooth. This paper evaluates the effectiveness of these technologies and determines the impact of contact tracing precision on the spread and control of infectious diseases. To this end, we have created an epidemic model that we used to evaluate the efficiency and cost (number of people quarantined) of the measures to be taken, depending on the smartphone contact tracing technologies used. Our results show that in order to be effective for the COVID-19 disease, the contact tracing technology must be precise, contacts must be traced quickly, and a significant percentage of the population must use the smartphone contact tracing application. These strict requirements make smartphone-based contact tracing rather ineffective at containing the spread of the infection during the first outbreak of the virus. However, considering a second wave, where a portion of the population will have gained immunity, or in combination with some other more lenient measures, smartphone-based contact tracing could be extremely useful.
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