Industry and workplace characteristics associated with the use of a COVID-19 contact tracing app in Japan: a nation-wide employee survey

Ishimaru, Tomohiro; Ibayashi, Koki; Nagata, Michio; Hino, Ayako; Tateishi, Seiichiro; Tsuji, Mayumi; Ogami, Akira; Matsuda, Shinya; Fujino, Yoshihisa

doi:10.1101/2021.04.01.21254744

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…A study done in [13] gives a detailed analysis of the digital contact-tracing breakthroughs based on their methodologies and technologies in the light of data emerging on international experiences for deployment of digital contact-tracing technology. More works exploring the subject covering the utilization of the digital contact-tracing technique employing different methodological approaches are also done in [14][15][16][17][18][19][20][21]. The technique is based on either data, WiFi or Bluetooth-contact tracing technology.…”

Section: Introductionmentioning

confidence: 99%

Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa

2023

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The unanticipated continued deep-rooted trend of the Severe Acute Respiratory Syndrome Corona-virus-2 the originator pathogen of the COVID-19 persists posing concurrent anxiety globally. More effort is affixed in the scientific arena via continuous investigations in a prolific effort to understand the transmission dynamics and control measures in eradication of the epidemic. Both pharmaceutical and non-pharmaceutical containment measure protocols have been assimilated in this effort. In this study, we develop a modified SEIR deterministic model that factors in alternative-amalgamation of use of COVID Alert SA app and vaccination against the COVID-19 to the Republic of South Africa’s general public in an endeavor to discontinue the chain of spread for the pandemic. We analyze the key properties of the model not limited to positivity, boundedness, and stability. We authenticate the model by fitting it to the Republic of South Africa’s cumulative COVID-19 cases reported data utilizing the Maximum Likelihood Estimation algorithm implemented in fitR package. Sensitivity analysis and simulations for the model reveal that simultaneously-gradually increased implementation of the COVID Alert SA app use and vaccination against COVID-19 to the public substantially accelerate reduction in the plateau number of COVID-19 infections across all the observed vaccine efficacy scenarios. More fundamentally, it is discovered that implementing at least 12% app use (mainly for the susceptible population not vaccinated) with simultaneous vaccination of over 12% of the susceptible population majorly not using the app using a vaccine of at least 50% efficacy would be sufficient in eradicating the pandemic over relatively shorter time span.

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Section: Introductionmentioning

confidence: 99%

Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa

2023

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Digital contact tracing technology in the COVID-19 pandemic: a systematic review

Irwin,

Aisyah,

Rahman

et al. 2024

Health Technol.

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Introduction The COVID-19 pandemic prompted public health teams across the world to emphasize case identification, contact tracing, and isolation in outbreak management strategies. Contact tracing was advanced by global access to mobile phones to develop and implement digital contact tracing (DCT) technology with the objective of increasing the rate of contact tracing while reducing the resources required. Purpose This study aimed to describe the DCT technology used during the COVID-19 pandemic across the world, and to identify differences and similarities between characteristics and uses. Methods This review followed the PRISMA (2020) guidelines for systematic reviews. Literature searches were conducted using Embase, MEDLINE, and PubMed and were restricted to English studies published between 2019 to 2023. Studies were excluded if they did not report findings for DCT during COVID-19, did not provide data for technology characteristics or outcomes, or were a study design listed for exclusion. Results Sixty one studies were included in the review producing results for 147 digital contact tracing technologies across 83 countries. The majority of digital contact tracing (DCT) technologies are government-owned (75.6%), primarily developed for COVID-19 tracing (96.4%). Bluetooth is the most favored technology (70%) used in their development, followed by GPS (30%) and QR codes (22%). Applications are the preferred platform (90.9%), with a few using applets (6.3%) and wearable devices (1.4%). Only 2 DCT technologies have achieved over 100 million downloads or uses (3.1%). Most DCTs fall into the 1–9.99 million downloads range (27.7%) and 10,000–99,999 downloads (20%). The majority of DCTs are voluntarily used by the population (63.6%), while 27.3% are mandated for use. Conclusions Digital contact tracing technologies were developed and implemented globally as a strategy in emergency outbreak management to reduce the spread of disease. This review describes the use of DCT across the world by identifying key features and characteristics that will serve as a lesson learned for improvement of existing DCT technologies for other emergency response outbreak management.

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Mathematical modeling and impact analysis of the use of COVID Alert SA app

Kinyili¹,

Munyakazi²,

Mukhtar

2021

AIMSPH

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<abstract> <p>The human life-threatening novel Severe Acute Respiratory Syndrome Corona-virus-2 (SARS-CoV-2) has lasted for over a year escalating and posing simultaneous anxiety day-by-day globally since its first report in the late December 2019. The scientific arena has been kept animated via continuous investigations in an effort to understand the spread dynamics and the impact of various mitigation measures to keep this pandemic diminished. Despite a lot of research works having been accomplished this far, the pandemic is still deep-rooted in many regions worldwide signaling for more scientific investigations. This study joins the field by developing a modified SEIR (Susceptible-Exposed-Infectious-Removed) compartmental deterministic model whose key distinct feature is the incorporation of the COVID Alert SA app use by the general public in prolific intention to control the spread of the epidemic. Validation of the model is performed by fitting the model to the Republic of South Africa's COVID-19 cases reported data using the Maximum Likelihood Estimation algorithm implemented in fitR package. The model's sensitivity analysis and simulations stipulate that gradual to complete use of the app would be perfect in contact tracing and substantially reduce the plateau number of COVID-19 infections. This would consequentially contribute remarkably to the eradication of the SARS-CoV-2 over time. Proportional amalgamation of the app use and test for COVID-19 on individuals not using the app would also reduce the peak number of infections apart from the 50 – 50% ratio which spikes the plateau number beyond any other proportion. The study establishes that at least 30% implementation of the app use with gradual increase in tests conducted for individuals not using the app would suffice to stabilize the disease free equilibrium resulting to gradual eradication of the pandemic.</p> </abstract>

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Industry and workplace characteristics associated with the use of a COVID-19 contact tracing app in Japan: a nation-wide employee survey

Cited by 3 publications

References 18 publications

Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa

Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa

Digital contact tracing technology in the COVID-19 pandemic: a systematic review

Mathematical modeling and impact analysis of the use of COVID Alert SA app

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