scholarly journals Explaining Support for COVID-19 Cell Phone Contact Tracing

2021 ◽  
pp. 1-30
Author(s):  
Ludovic Rheault ◽  
Andreea Musulan
Keyword(s):  
Cell Phone ◽  
Contact Tracing ◽  
Phone Contact

scholarly journals Explaining Support for COVID-19 Cell Phone Contact Tracing

2020 ◽  
Author(s):  
Ludovic Rheault ◽  
Andreea Musulan
Keyword(s):  
Media Coverage ◽  
Cell Phone ◽  
Public Support ◽  
Policy Instrument ◽  
Contact Tracing ◽  
News Item ◽  
Fast Pace ◽  
Containment Measures ◽  
Phone Contact ◽  
Pre Treatment

COVID-19 contact tracing applications have been deployed at a fast pace around the world and may be a key policy instrument to contain future waves in Canada. This study aims to explain public opinion toward cell phone contact tracing using a survey experiment conducted with a representative sample of Canadian respondents. We build upon an established theory in evolutionary psychology—disease avoidance—to predict how media coverage of the pandemic affects public support for containment measures. We report three key findings. First, exposure to a news item that shows people ignoring social distancing rules causes an increase in support for cell phone contact tracing. Second, pre-treatment covariates such as anxiety and a belief that other people are not following the rules rank among the strongest predictors of support for COVID-19 apps. And third, while a majority of respondents approve the reliance on cell phone contact tracing, many of them hold ambivalent thoughts about the technology. Our analysis of answers to an open-ended question on the topic suggests that concerns for rights and freedoms remain a salient preoccupation.

Helicopter Parenting and Cell-Phone Contact between Parents and Children in College

2017 ◽  
Vol 82 (2) ◽  
pp. 102-114 ◽  
Author(s):  
Lynne Kelly ◽  
Robert L. Duran ◽  
Aimee E. Miller-Ott
Keyword(s):  
Cell Phone ◽  
Helicopter Parenting ◽  
Parents And Children ◽  
Phone Contact

scholarly journals Policy interventions for eradication of SARS-CoV-2 by mobile-phone contact-tracing

2020 ◽  
Author(s):  
Daniel Tang
Keyword(s):  
Mobile Phone ◽  
Smart Phone ◽  
Contact Tracing ◽  
Policy Interventions ◽  
Phone Contact ◽  
High Degree

With the recent announcement that Apple and Google will introduce a contact-tracing API to iOS and Android, and later add contact tracing functionality directly to their OS's, it seems increasingly likely that contact tracing via a smart phone will form an important part of the effort to manage the COVID-19 pandemic and prevent resurgences of the disease after an initial outbreak.However, contact-tracing models have shown that there remains a high degree of uncertainty over whether contact tracing alone will be enough to control the virus. Here, we suggest complementary policies that could be used as part of a responsive policy to increase the effectiveness of smart phone contact tracing in the event that a resurgence looks imminent.

scholarly journals The impact of digital contact tracing on the SARS-CoV-2 pandemic - a comprehensive modelling study

2020 ◽  
Author(s):  
Tina R Pollmann ◽  
Julia Pollmann ◽  
Christoph Wiesinger ◽  
Christian Haack ◽  
Lolian Shtembari ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Stochastic Models ◽  
Cell Phone ◽  
Contact Tracing ◽  
Reproductive Number ◽  
Random Testing ◽  
Deterministic Models ◽  
The Cost ◽  
The Impact ◽  
Testing Protocols

Contact tracing is one of several strategies employed in many countries to curb the spread of SARS-CoV-2. Digital contact tracing (DCT) uses tools such as cell-phone applications to improve tracing speed and reach. We model the impact of DCT on the spread of the virus for a large epidemiological parameter space consistent with current literature on SARS-CoV-2. We also model DCT in combination with random testing (RT) and social distancing (SD). Modelling is done with two independently developed individual-based (stochastic) models that use the Monte Carlo technique, benchmarked against each other and against two types of deterministic models. For current best estimates of the number of asymptomatic SARS-CoV-2 carriers (approximately 40\%), their contagiousness (similar to that of symptomatic carriers), the reproductive number before interventions (R0 at least 3) we find that DCT must be combined with other interventions such as SD and/or RT to push the reproductive number below one. At least 60\% of the population would have to use the DCT system for its effect to become significant. On its own, DCT cannot bring the reproductive number below 1 unless nearly the entire population uses the DCT system and follows quarantining and testing protocols strictly. For lower uptake of the DCT system, DCT still reduces the number of people that become infected. When DCT is deployed in a population with an ongoing outbreak where O(0.1\%) of the population have already been infected, the gains of the DCT intervention come at the cost of requiring up to 15% of the population to be quarantined (in response to being traced) on average each day for the duration of the epidemic, even when there is sufficient testing capability to test every traced person.

scholarly journals NOMOPHOBIA: A META-ANALYTIC REVIEW

2021 ◽  
pp. 469-477
Author(s):  
Fathimath suhara KT ◽  
Maneesha.K.P ◽  
Sannet Thomas
Keyword(s):  
Mobile Phone ◽  
Cell Phone ◽  
Analytic Review ◽  
Phone Contact ◽  
Mental Issues

Nomophobia is No mobile phone phobia. It is described as the dread of being besides a bendy device or past adaptable cell phone contact. Nomophobia is on the ascent over the globe. Here the inspector prepared to journey the contemplates directed in India simply as outside to have a good sized comprehension on the thinking of nomophobia, its estimations, system of consider, associated ideas, proposals etc. The professionals used meta-examination as the system for shifting closer the issue. Ten ponders which met the idea measures had been picked for this consider. Revelations of the reflect on consideration on offers the thinking that nomophobia is primary among all age packs, the majority of the contemplates directed in school understudies. Nomo phobic humans have physical, social and mental issues. Mental troubles consolidates stretch, disquiet, wretchedness, bitterness and so forth Causal elements of nomophobia is ordinary round the planet. KEYWORDS: Nomophobia

scholarly journals Increasing efficacy of contact-tracing applications by user referrals and stricter quarantining

2020 ◽  
Author(s):  
Leslie Ann Goldberg ◽  
Joost Jorritsma ◽  
Júlia Komjáthy ◽  
John Lapinskas
Keyword(s):  
Mobile Phone ◽  
Random Graphs ◽  
Contact Tracing ◽  
Epidemiological Models ◽  
Agent Based ◽  
Inhomogeneous Random Graphs ◽  
Travel Restrictions ◽  
Geometric Space ◽  
Phone Contact

AbstractWe study the effects of two mechanisms which increase the efficacy of contact-tracing applications (CTAs) such as the mobile phone contact-tracing applications that have been used during the COVID-19 epidemic. The first mechanism is the introduction of user referrals. We compare four scenarios for the uptake of CTAs — (1) the p% of individuals that use the CTA are chosen randomly, (2) a smaller initial set of randomly-chosen users each refer a contact to use the CTA, achieving p% in total, (3) a small initial set of randomly-chosen users each refer around half of their contacts to use the CTA, achieving p% in total, and (4) for comparison, an idealised scenario in which the p% of the population that uses the CTA is the p% with the most contacts. Using agent-based epidemiological models incorporating a geometric space, we find that, even when the uptake percentage p% is small, CTAs are an effective tool for mitigating the spread of the epidemic in all scenarios. Moreover, user referrals significantly improve efficacy. In addition, it turns out that user referrals reduce the yearly quarantine load. The second mechanism for increasing the efficacy of CTAs is tuning the severity of quarantine measures. Our modelling shows that using CTAs with mild quarantine measures is effective in reducing the maximum hospital load and the number of people who become ill, but leads to a relatively high quarantine load, which may cause economic disruption. Fortunately, under stricter quarantine measures, the advantages are maintained but the quarantine load is reduced. Our models incorporate geometric inhomogeneous random graphs to study the effects of the presence of super-spreaders and of the absence of long-distant contacts (e.g., through travel restrictions) on our conclusions.

scholarly journals Increasing efficacy of contact-tracing applications by user referrals and stricter quarantining

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250435
Author(s):  
Leslie Ann Goldberg ◽  
Joost Jorritsma ◽  
Júlia Komjáthy ◽  
John Lapinskas
Keyword(s):  
Mobile Phone ◽  
Random Graphs ◽  
Contact Tracing ◽  
Epidemiological Models ◽  
Agent Based ◽  
Inhomogeneous Random Graphs ◽  
Travel Restrictions ◽  
Geometric Space ◽  
Phone Contact

We study the effects of two mechanisms which increase the efficacy of contact-tracing applications (CTAs) such as the mobile phone contact-tracing applications that have been used during the COVID-19 epidemic. The first mechanism is the introduction of user referrals. We compare four scenarios for the uptake of CTAs—(1) the p% of individuals that use the CTA are chosen randomly, (2) a smaller initial set of randomly-chosen users each refer a contact to use the CTA, achieving p% in total, (3) a small initial set of randomly-chosen users each refer around half of their contacts to use the CTA, achieving p% in total, and (4) for comparison, an idealised scenario in which the p% of the population that uses the CTA is the p% with the most contacts. Using agent-based epidemiological models incorporating a geometric space, we find that, even when the uptake percentage p% is small, CTAs are an effective tool for mitigating the spread of the epidemic in all scenarios. Moreover, user referrals significantly improve efficacy. In addition, it turns out that user referrals reduce the quarantine load. The second mechanism for increasing the efficacy of CTAs is tuning the severity of quarantine measures. Our modelling shows that using CTAs with mild quarantine measures is effective in reducing the maximum hospital load and the number of people who become ill, but leads to a relatively high quarantine load, which may cause economic disruption. Fortunately, under stricter quarantine measures, the advantages are maintained but the quarantine load is reduced. Our models incorporate geometric inhomogeneous random graphs to study the effects of the presence of super-spreaders and of the absence of long-distant contacts (e.g., through travel restrictions) on our conclusions.

scholarly journals The impact of digital contact tracing on the SARS-CoV-2 pandemic—a comprehensive modelling study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Tina R. Pollmann ◽  
Stefan Schönert ◽  
Johannes Müller ◽  
Julia Pollmann ◽  
Elisa Resconi ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Stochastic Models ◽  
Cell Phone ◽  
Contact Tracing ◽  
Reproductive Number ◽  
Random Testing ◽  
Deterministic Models ◽  
The Cost ◽  
The Impact ◽  
Testing Protocols

AbstractContact tracing is one of several strategies employed in many countries to curb the spread of SARS-CoV-2. Digital contact tracing (DCT) uses tools such as cell-phone applications to improve tracing speed and reach. We model the impact of DCT on the spread of the virus for a large epidemiological parameter space consistent with current literature on SARS-CoV-2. We also model DCT in combination with random testing (RT) and social distancing (SD).Modelling is done with two independently developed individual-based (stochastic) models that use the Monte Carlo technique, benchmarked against each other and against two types of deterministic models.For current best estimates of the number of asymptomatic SARS-CoV-2 carriers (approximately 40%), their contagiousness (similar to that of symptomatic carriers), the reproductive number before interventions (${R_{0}}$ R 0 at least 3) we find that DCT must be combined with other interventions such as SD and/or RT to push the reproductive number below one. At least 60% of the population would have to use the DCT system for its effect to become significant. On its own, DCT cannot bring the reproductive number below 1 unless nearly the entire population uses the DCT system and follows quarantining and testing protocols strictly. For lower uptake of the DCT system, DCT still reduces the number of people that become infected.When DCT is deployed in a population with an ongoing outbreak where $\mathcal{O}$ O (0.1%) of the population have already been infected, the gains of the DCT intervention come at the cost of requiring up to 15% of the population to be quarantined (in response to being traced) on average each day for the duration of the epidemic, even when there is sufficient testing capability to test every traced person.

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