Literature DB >> 32622218

COVID-19 contact tracing apps: the 'elderly paradox'.

E Rizzo1.   

Abstract

Entities:  

Year:  2020        PMID: 32622218      PMCID: PMC7321037          DOI: 10.1016/j.puhe.2020.06.045

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


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The SARS-CoV-2 pandemic will be remembered as the first to be tackled ‘technologically’: in a few months the major social networks have implemented information centers on the disease and neural networks, supercomputers and mathematical models have been developed for various purposes, including detection of COVID-19 cases, rapid screening of drugs, and contact tracing. The latter in particular is an essential activity in all stages of the infection, both initially to prevent its spread in the population, and during the ‘tail’ of the epidemic curve to block and contain new outbreaks. Public health departments are committed in this sense through questionnaires, interviews, and dedicated softwares based on Geographic Information System frameworks. However, the increasingly interconnected nature of modern society makes smartphones a large reservoir of useful information, which can also be used by community medicine. In fact, many IT companies have released tracking applications based on bluetooth low-energy technology. These programs however have several limits, first of all the fact that they must be downloaded by a large percentage of users to be fully useful. Furthermore, they must be made functional: bluetooth connection must always be on, and the device needs to be connected to the internet at least once a day to transmit electronic keys to the central server. This can constitute a problem for people aged 65 years and older, who have poor access, and understanding of these procedures. In addition, these apps may hide an even greater critical point but due to the characteristics of the novel coronavirus and its related syndrome. As the rate of asymptomatic patients is high, often these subjects discover that they are positive late, when they have probably already transmitted the infection to their circle of contacts, and casually. Many may never discover their positivity. Young people, who are known to contract the disease in a mild form, could infect other peers (more likely on a social level), which would remain asymptomatic or paucisymptomatic, creating a silent chain of infection. The diffusion could manifest itself only arriving to an elderly person, who, however, perhaps did not download the app or who does not know how to make it work properly. As a result, a real paradox would be generated: these apps would have a greater epidemiologic importance for older subjects, who are however less inclined to technology and more suspicious on a leak of personal data. For all these reasons, it is necessary to provide support for older age groups. Anyway, the contact tracing through app requires an increased ability to perform swabs and serological tests in the population, activities that already have their intrinsic value: we cannot wait for the elderly to act as indicators of an infection that could already be widespread in the population.
  4 in total

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Authors:  Mark Zastrow
Journal:  Nature       Date:  2020-05-19       Impact factor: 49.962

2.  Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking.

Authors:  Ran Yu; Liang Chen; Rong Lan; Rong Shen; Peng Li
Journal:  Int J Antimicrob Agents       Date:  2020-05-08       Impact factor: 5.283

3.  Automated detection of COVID-19 cases using deep neural networks with X-ray images.

Authors:  Tulin Ozturk; Muhammed Talo; Eylul Azra Yildirim; Ulas Baran Baloglu; Ozal Yildirim; U Rajendra Acharya
Journal:  Comput Biol Med       Date:  2020-04-28       Impact factor: 4.589

4.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

Authors:  Luca Ferretti; Chris Wymant; David Bonsall; Christophe Fraser; Michelle Kendall; Lele Zhao; Anel Nurtay; Lucie Abeler-Dörner; Michael Parker
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

  4 in total
  4 in total

1.  Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps.

Authors:  Vahid Garousi; David Cutting; Michael Felderer
Journal:  J Syst Softw       Date:  2021-11-04       Impact factor: 2.829

2.  Survey on usage and concerns of a COVID-19 contact tracing application in Japan.

Authors:  Masaki Machida; Itaru Nakamura; Reiko Saito; Tomoki Nakaya; Tomoya Hanibuchi; Tomoko Takamiya; Yuko Odagiri; Noritoshi Fukushima; Hiroyuki Kikuchi; Shiho Amagasa; Takako Kojima; Hidehiro Watanabe; Shigeru Inoue
Journal:  Public Health Pract (Oxf)       Date:  2021-04-18

3.  Development of a Mobile App for Self-Care Against COVID-19 Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model: Methodological Study.

Authors:  Hamid Reza Saeidnia; Marcin Kozak; Marcel Ausloos; Zahra Mohammadzadeh; Mohammad Hassanzadeh; Claudiu Herteliu; Ali Ghorbi; Mehrdad Karajizadeh
Journal:  JMIR Form Res       Date:  2022-09-13

4.  Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model.

Authors:  Jonatan Almagor; Stefano Picascia
Journal:  Sci Rep       Date:  2020-12-17       Impact factor: 4.996

  4 in total

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