High national acceptance for COVID-19 contact tracing technologies in Taiwan (Preprint)

2021 ◽  
Author(s):  
Paul M. Garrett ◽  
Yuwen Wang ◽  
Joshua P. White ◽  
Yoshihisa Kashima ◽  
Simon Dennis ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Contact Tracing ◽  
Virus Spread ◽  
Security Measures ◽  
Contributing Factors ◽  
Privacy And Security ◽  
Social Distancing ◽  
The Public ◽  
Privacy Measures ◽  
Credible Intervals

BACKGROUND Governments worldwide have introduced COVID-19 tracing technologies. Taiwan, a world leader in controlling the virus’ spread, has introduced the Taiwan ‘Social Distancing App’ to facilitate COVID-19 contact tracing. However, for these technologies to be effective, they must be accepted and used by the public. OBJECTIVE Our study aimed to determine public acceptance for three hypothetical tracing technologies: a centralized Government App, a decentralized Bluetooth App (e.g., Taiwan’s Social Distancing App), and a Telecommunication tracing technology; and model what factors contributed to their acceptance. METHODS Four nationally representative surveys were conducted in April 2020 sampling 6,000 Taiwanese residents. Perceptions and impacts of COVID-19, government effectiveness, worldviews, and attitudes towards and acceptance of one-of-three hypothetical tracing technologies were assessed. RESULTS Technology acceptance was high across all hypothetical technologies (67% - 73%) and improved with additional privacy measures (82% - 88%). Bayesian modelling (using 95% highest density credible intervals) showed data sensitivity and perceived poor COVID-19 policy compliance inhibited technology acceptance. By contrast, technology benefits (e.g., returning to activities, reducing virus spread, lowering the likelihood of infection), higher education, and perceived technology privacy, security, and trust, were all contributing factors to overall acceptance. Bayesian ordinal probit models revealed higher COVID-19 concern for other people than for one’s self. CONCLUSIONS Taiwan is currently using a range of technologies to minimize the spread of COVID-19 as the country returns to normal economic and social activities. We observed high acceptance for COVID-19 tracing technologies among the Taiwanese public, a promising and necessary finding for the successful introduction of Taiwan’s new ‘Social Distancing App’. Policy makers may capitalize on this acceptance by focusing attention towards the App’s benefits, privacy and security measures, making the App’s privacy measures transparent to the public, and emphasizing App uptake and compliance among the public. CLINICALTRIAL Not applicable.

Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation (Preprint)

2021 ◽  
Author(s):  
Xiaoqian Wu ◽  
Lin Xu ◽  
PengFei Li ◽  
TingTing Tang ◽  
Cheng Huang
Keyword(s):  
Mental Health ◽  
Rating Scale ◽  
Mobile Apps ◽  
Scientific Basis ◽  
Mobile App ◽  
Security Measures ◽  
Privacy And Security ◽  
Health Apps ◽  
Mental Health Awareness ◽  
Privacy Measures

BACKGROUND Mental disorders impose varying degrees of burden on patients and their surroundings. However, people are reluctant to take the initiative to seek mental health services because of the uneven distribution of resources and stigmatization. Thus, mobile apps are considered an effective way to eliminate these obstacles and improve mental health awareness. OBJECTIVE This study aimed to evaluate the quality, function, privacy measures, and evidence-based and professional background of multipurpose mental health apps in Chinese commercial app stores. METHODS A systematic search was conducted on iOS and Android platforms in China to identify multipurpose mental health apps. Two independent reviewers evaluated the identified mobile apps using Mobile App Rating Scale (MARS). Each app was downloaded, and the general characteristics, privacy and security measures, development background, and functional characteristics of each app were evaluated. RESULTS A total of 40 apps were analyzed, of which 35 apps (87.5%) were developed by companies and 33 apps (82.5%) provided links to access the privacy policy; 52.5% did not mention the involvement of relevant professionals or the guidance of scientific basis in the app development process. The main built-in functions of these apps include psychological education (38/40, 95%), self-assessment (34/40, 85%), and counseling (33/40, 83%). The overall quality average MARS score of the 40 apps was 3.53 (standard deviation 0.39), and the total score was between 2.96 and 4.30. The total score of MARS was significantly positively correlated with the scores of each subscale (r = 0.62–0.88; P <.001). However, the user score of the app market was not significantly correlated with the total score of MARS (r = 0.23; P =.19). CONCLUSIONS The quality of multipurpose mental health apps in China’s main app market is generally good and provides various functional combinations. However, health professionals are less involved in the development of these apps, and the privacy protection policy of the apps also needs to be described in more detail. This study provides a reference for the development of multipurpose mental health apps.

scholarly journals Young Adults View Smartphone Tracking Technologies for COVID-19 as Acceptable: The Case of Taiwan

2021 ◽  
Vol 18 (3) ◽  
pp. 1332
Author(s):  
Paul M. Garrett ◽  
YuWen Wang ◽  
Joshua P. White ◽  
Shulan Hsieh ◽  
Carol Strong ◽  
...  
Keyword(s):  
Young Adults ◽  
Bayesian Methods ◽  
Telecommunication Network ◽  
Policy Implications ◽  
Virus Spread ◽  
Notification System ◽  
The Public ◽  
Mobile Tracking ◽  
Privacy Measures ◽  
Community Transmission

Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few to no symptoms when infected have been identified in many countries as driving the virus’ spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to the virus, potentially solving this issue; however, the effectiveness of these technologies depends on their acceptance by the public. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) among four samples of young Taiwanese adults (aged 25 years or younger). Using Bayesian methods, we find high acceptance for all three tracking technologies (>75%), with acceptance for each technology surpassing 90% if additional privacy measures were included. We consider the policy implications of these results for Taiwan and similar cultures.

scholarly journals Recapping The Latest Vaccine Developments

2021 ◽  
Vol 15 (1) ◽  
pp. 4
Author(s):  
Atikaran Krishnamoorthy
Keyword(s):  
Contact Tracing ◽  
Virus Spread ◽  
Phase 3 ◽  
Social Distancing ◽  
First Case

Since the first case was identified in Wuhan, China in November 2019, there have been 84.5 million cases of COVID-19 and 1.8 million deaths from this virus globally as of January 5, 20211. To combat this virus’ spread, various strategies have been employed, such as mask mandates, social distancing, increased COVID-19 testing, and contact tracing. Since December 2020, another strategy has been made available: vaccines. This is because three vaccines that showed promising Phase 3 results are currently in use to help curb COVID-19.

scholarly journals Young adults view smartphone tracking technologies for COVID-19 as acceptable: the case of Taiwan

2020 ◽  
Author(s):  
Paul Michael Garrett ◽  
Yu Wen Wang ◽  
Joshua Paul White ◽  
Shulan Hsieh ◽  
Carol Strong ◽  
...  
Keyword(s):  
Young Adults ◽  
Bayesian Methods ◽  
Telecommunication Network ◽  
Policy Implications ◽  
Virus Spread ◽  
Notification System ◽  
The Public ◽  
Mobile Tracking ◽  
Privacy Measures ◽  
Community Transmission

Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few-to-no symptoms when infected have been identified in many countries as driving the virus' spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to the virus, potentially solving this issue; however, the effectiveness of these technologies depends on their acceptance by the public. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google's Bluetooth exposure notification system) among four samples of young Taiwanese adults (aged 25 years or younger). Using Bayesian methods, we find high acceptance for all three tracking technologies (&gt; 75%), with acceptance for each technology surpassing 90% if additional privacy measures were included. We consider the policy implications of these results for Taiwan and similar cultures.

scholarly journals The acceptability and uptake of smartphone tracking for COVID-19 in Australia

2020 ◽  
Author(s):  
Paul Michael Garrett ◽  
Joshua Paul White ◽  
Stephan Lewandowsky ◽  
Yoshihisa Kashima ◽  
Andrew Perfors ◽  
...  
Keyword(s):  
Bayesian Methods ◽  
Telecommunication Network ◽  
Health Department ◽  
Policy Implications ◽  
Contact Tracing ◽  
Privacy And Security ◽  
Notification System ◽  
The Public ◽  
Widespread Acceptance ◽  
Representative Samples

In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies to perform rapid contact tracing. However, these technologies are only effective if the public is willing to use them, implying that their perceived public health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched the `COVIDSafe' app, designed to anonymously register nearby contacts. If a contact later identifies as infected with COVID-19, health department officials can rapidly followup with their registered contacts to stop the virus' spread. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google's Bluetooth exposure notification system) in two representative samples of the Australian public prior to the launch of COVIDSafe. We compared these attitudes to usage of the COVIDSafe app after its launch in a further two representative samples of the Australian public. Using Bayesian methods, we find widespread acceptance for all tracking technologies, however, observe a large intention-behaviour gap between people’s stated attitudes and actual uptake of the COVIDSafe app. We consider the policy implications of these results for Australia and the world at large.

scholarly journals The acceptability and uptake of smartphone tracking for COVID-19 in Australia

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244827 ◽  
Author(s):  
Paul M. Garrett ◽  
Joshua P. White ◽  
Stephan Lewandowsky ◽  
Yoshihisa Kashima ◽  
Andrew Perfors ◽  
...  
Keyword(s):  
Bayesian Methods ◽  
Telecommunication Network ◽  
Health Department ◽  
Policy Implications ◽  
Contact Tracing ◽  
Privacy And Security ◽  
Notification System ◽  
The Public ◽  
Widespread Acceptance ◽  
Representative Samples

In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies to perform rapid contact tracing. However, these technologies are only effective if the public is willing to use them, implying that their perceived public health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched the ‘COVIDSafe’ app, designed to anonymously register nearby contacts. If a contact later identifies as infected with COVID-19, health department officials can rapidly followup with their registered contacts to stop the virus’ spread. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) in two representative samples of the Australian public prior to the launch of COVIDSafe. We compared these attitudes to usage of the COVIDSafe app after its launch in a further two representative samples of the Australian public. Using Bayesian methods, we find widespread acceptance for all tracking technologies, however, observe a large intention-behaviour gap between people’s stated attitudes and actual uptake of the COVIDSafe app. We consider the policy implications of these results for Australia and the world at large.

scholarly journals Social Distancing and Outdoor Physical Activity During the COVID-19 Outbreak in South Korea: Implications for Physical Distancing Strategies

2020 ◽  
Vol 32 (6-7) ◽  
pp. 360-362 ◽  
Author(s):  
Sunhee Park ◽  
Beomsoo Kim ◽  
Jaeil Lee
Keyword(s):  
Physical Activity ◽  
South Korea ◽  
Surface Cleaning ◽  
Contact Tracing ◽  
Social Distancing ◽  
The Public ◽  
Positive Effects ◽  
The Social ◽  
Novel Coronavirus ◽  
Bicycle Sharing System

The novel coronavirus disease (COVID-19) outbreak has put the entire world in a pandemic situation. In response, strict screening, quarantine protocols, and contact tracing have been conducted in South Korea. The purpose of this study was to examine effects of social distancing on the Public Bicycle Sharing System (PBSS) during the COVID-19 outbreak. We used the PBSS public dataset of Seoul, South Korea. Difference-in-differences (DID) analysis was used. In the DID approach, the 2 groups are distinguished based on designated year. Cases of PBSS use were observed in 2 time periods: pre- and post-strict social distancing in Seoul, Korea. Average PBSS usage per day doubled during 2019-2020 (30 697 vs 77 996, P < .001). Commuters and weekend users increased during the social distancing period in 2020 compared with the same period in 2019. DID analysis showed statistically significant positive effects of high levels of social distancing on PBSS usage, commuters, weekend users, and new subscribers. In conclusion, social distancing during the COVID-19 outbreak increased outdoor physical activity. Meaningful outdoor physical activity during the COVID-19 pandemic can be safe from infection and psychologically stabilized as long as keeping meticulous physical distancing, such as hand hygiene, wearing facial masks, and surface cleaning of public resources.

scholarly journals Mathematical Modeling and Analysis of COVID-19 pandemic in Nigeria

2020 ◽  
Author(s):  
Enahoro Iboi ◽  
Oluwaseun O. Sharomi ◽  
Calistus Ngonghala ◽  
Abba B. Gumel
Keyword(s):  
Nonlinear Differential Equations ◽  
Intervention Strategy ◽  
Mitigation Strategies ◽  
Contact Tracing ◽  
Effective Vaccine ◽  
Deterministic System ◽  
Worst Case ◽  
Social Distancing ◽  
The Public ◽  
Community Transmission

AbstractA novel Coronavirus (COVID-19), caused by SARS-CoV-2, emerged from the Wuhan city of China at the end of 2019, causing devastating public health and socio-economic burden around the world. In the absence of a safe and effective vaccine or antiviral for use in humans, control and mitigation efforts against COVID-19 are focussed on using non-pharmaceutical interventions (aimed at reducing community transmission of COVID-19), such as social (physical)-distancing, community lockdown, use of face masks in public, isolation and contact tracing of confirmed cases and quarantine of people suspected of being exposed to COVID-19. We developed a mathematical model for understanding the transmission dynamics and control of COVID-19 in Nigeria, one of the main epicenters of COVID-19 in Africa. Rigorous analysis of the Kermack-McKendrick-type compartmental epidemic model we developed, which takes the form of a deterministic system of nonlinear differential equations, reveal that the model has a continuum of disease-free equilibria which is locally-asymptotically stable whenever a certain epidemiological threshold, called the control reproduction (denoted by ), is less than unity. The epidemiological implication of this result is that the pandemic can be effectively controlled (or even eliminated) in Nigeria if the control strategies implemented can bring (and maintain) the epidemiological threshold () to a value less than unity. The model, which was parametrized using COVID-19 data published by Nigeria Centre for Disease Control (NCDC), was used to assess the community-wide impact of various control and mitigation strategies in the entire Nigerian nation, as well as in two states (Kano and Lagos) within the Nigerian federation and the Federal Capital Territory (FCT Abuja). It was shown that, for the worst-case scenario where social-distancing, lockdown and other community transmission reduction measures are not implemented, Nigeria would have recorded a devastatingly high COVID-19 mortality by April 2021 (in hundreds of thousands). It was, however, shown that COVID-19 can be effectively controlled using social-distancing measures provided its effectiveness level is at least moderate. Although the use of face masks in the public can significantly reduce COVID-19 in Nigeria, its use as a sole intervention strategy may fail to lead to the realistic elimination of the disease (since such elimination requires unrealistic high compliance in face mask usage in the public, in the range of 80% to 95%). COVID-19 elimination is feasible in both the entire Nigerian nation, and the States of Kano and Lagos, as well as the FCT, if the public face masks use strategy (using mask with moderate efficacy, and moderate compliance in its usage) is complemented with a social-distancing strategy. The lockdown measures implemented in Nigeria on March 30, 2020 need to be maintained for at least three to four months to lead to the effective containment of COVID-19 outbreaks in the country. Relaxing, or fully lifting, the lockdown measures sooner, in an effort to re-open the economy or the country, may trigger a deadly second wave of the pandemic.

Are social networking platforms the key to effective social distancing for COVID-19? (Preprint)

2020 ◽  
Author(s):  
Viknesh Sounderajah ◽  
Hutan Ashrafian ◽  
Sheraz Markar ◽  
Ara Darzi
Keyword(s):  
Operating System ◽  
Social Networking ◽  
Contact Tracing ◽  
Text Data ◽  
Social Distancing ◽  
Web Mapping ◽  
Viral Spread ◽  
Behavioural Insights ◽  
Mapping Software ◽  
Incidence And Mortality

UNSTRUCTURED If health systems are to effectively employ social distancing measures to in response to further COVID-19 peaks, they must adopt new behavioural metrics that can supplement traditional downstream measures, such as incidence and mortality. Access to mobile digital innovations may dynamically quantify compliance to social distancing (e.g. web mapping software) as well as establish personalised real-time contact tracing of viral spread (e.g. mobile operating system infrastructure through Google-Apple partnership). In particular, text data from social networking platforms can be mined for unique behavioural insights, such as symptom tracking and perception monitoring. Platforms, such as Twitter, have shown significant promise in tracking communicable pandemics. As such, it is critical that social networking companies collaborate with each other in order to (1) enrich the data that is available for analysis, (2) promote the creation of open access datasets for researchers and (3) cultivate relationships with governments in order to affect positive change.

scholarly journals Robust estimation of SARS-CoV-2 epidemic in US counties

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hanmo Li ◽  
Mengyang Gu
Keyword(s):  
Transmission Rate ◽  
Public Awareness ◽  
Mitigation Measures ◽  
Infectious Period ◽  
Protective Measures ◽  
Social Distancing ◽  
The Public ◽  
The Us ◽  
Local Officials ◽  
Us Counties

AbstractThe COVID-19 outbreak is asynchronous in US counties. Mitigating the COVID-19 transmission requires not only the state and federal level order of protective measures such as social distancing and testing, but also public awareness of time-dependent risk and reactions at county and community levels. We propose a robust approach to estimate the heterogeneous progression of SARS-CoV-2 at all US counties having no less than 2 COVID-19 associated deaths, and we use the daily probability of contracting (PoC) SARS-CoV-2 for a susceptible individual to quantify the risk of SARS-CoV-2 transmission in a community. We found that shortening by $$5\%$$ 5 % of the infectious period of SARS-CoV-2 can reduce around $$39\%$$ 39 % (or 78 K, $$95\%$$ 95 % CI: [66 K , 89 K ]) of the COVID-19 associated deaths in the US as of 20 September 2020. Our findings also indicate that reducing infection and deaths by a shortened infectious period is more pronounced for areas with the effective reproduction number close to 1, suggesting that testing should be used along with other mitigation measures, such as social distancing and facial mask-wearing, to reduce the transmission rate. Our deliverable includes a dynamic county-level map for local officials to determine optimal policy responses and for the public to better understand the risk of contracting SARS-CoV-2 on each day.

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