Background: Contact tracing apps are considered useful means to monitor SARS-CoV-2 infections during the off-peak stages of the COVID-19 pandemic. Their effectiveness is, however, dependent on the uptake of such COVID-19 apps.
Objective: We examined the role of individuals' general health status in their willingness to use a COVID-19 tracing app as well as the roles of socioeconomic characteristics and COVID-19 proximity.
Methods: We drew data from the WageIndicator Foundation Living and Working in Coronavirus Times survey. The survey collected data on labor market status as well as the potential confounders of the relationship between general health and COVID-19 tracing app usage, such as sociodemographics and regular smartphone usage data. The survey also contained information that allowed us to examine the role of COVID-19 proximity, such as whether an individual has contracted SARS-CoV-2, whether an individual has family members and colleagues with COVID-19, and whether an individual exhibits COVID-19 pandemic-induced depressive and anxiety symptoms. We selected data that were collected in Spain, Italy, Germany, and the Netherlands from individuals aged between 18 and 70 years (N=4504). Logistic regressions were used to measure individuals' willingness to use a COVID-19 tracing app.
Results: We found that the influence that socioeconomic factors have on COVID-19 tracing app usage varied dramatically between the four countries, although individuals experiencing forms of not being employed (ie, recent job loss and inactivity) consistently had a lower willingness to use a contact tracing app (effect size: 24.6%) compared to that of employees (effect size: 33.4%; P<.001). Among the selected COVID-19 proximity indicators, having a close family member with SARS-CoV-2 infection was associated with higher contact tracing app usage (effect size: 36.3% vs 27.1%; P<.001). After accounting for these proximity factors and the country-based variations therein, we found that having a poorer general health status was significantly associated with a much higher likelihood of contact tracing app usage; compared to a self-reported "very good" health status (estimated probability of contact tracing app use: 29.6%), the "good" (estimated probability: +4.6%; 95% CI 1.2%-8.1%) and "fair or bad" (estimated probability: +6.3%; 95% CI 2.3%-10.3%) health statuses were associated with a markedly higher willingness to use a COVID-19 tracing app.
Conclusions: Current public health policies aim to promote the use of smartphone-based contact tracing apps during the off-peak periods of the COVID-19 pandemic. Campaigns that emphasize the health benefits of COVID-19 tracing apps may contribute the most to the uptake of such apps. Public health campaigns that rely on digital platforms would also benefit from seriously considering the country-specific distribution of privacy concerns.
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http://dx.doi.org/10.2196/27892 | DOI Listing |
Background: A decline in memory is a hallmark of Alzheimer's disease (AD). Experiments in rodents and post-mortem studies in humans with AD suggest that serotonin (5-HT) plays a role in memory, but the molecular and neural mechanisms mediating its effects are unknown.
Method: 100,000 individuals in UK Biobank were studied for the role of serotonin 2C receptor (5-HTR) in the regulation of memory.
J R Soc Interface
January 2025
IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Contact tracing is commonly used to manage infectious diseases of both humans and animals. It aims to detect early and control potentially infected individuals or farms that had contact with infectious cases. Because it is very resource-intensive, contact tracing is usually performed on a pre-defined time window, based on previous knowledge of the duration of the incubation period.
View Article and Find Full Text PDFPeerJ Comput Sci
November 2024
School of Foreign Languages, Zhengzhou College of Finance and Economics, Zhengzhou, Henan, China.
Anomalies are the existential abnormalities in data, the identification of which is known as anomaly detection. The absence of timely detection of anomalies may affect the key processes of decision-making, fraud detection, and automated classification. Most of the existing models of anomaly detection utilize the traditional way of tokenizing and are computationally costlier, mainly if the outliers are to be extracted from a large script.
View Article and Find Full Text PDFBiol Trace Elem Res
December 2024
Department of Physiology, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Alzheimer's disease (AD) is one of the most common neurodegenerative disorders, characterized by the slow and progressive loss of brain structure and function, primarily affecting older individuals. Evidence has shown that disruption of zinc homeostasis in the brain contributes to synaptic dysfunction, as well as impairments in learning and memory. In this study, we evaluated the effect of zeolite zinc on memory performance and hippocampal cell death in a rat model of Alzheimer's disease (AD) induced by intracerebroventricular administration of Aβ.
View Article and Find Full Text PDFHeliyon
October 2024
School of Accounting, Jiangxi University of Finance and Economics, No.169, Shuang Gang East Street, Changbei National Economic and Technological Development Zone, Nanchang City, Jiangxi Province, postcode 330013, PR China.
The acceptance of COVID-19 mobile contact tracing apps (MCTA) is crucial to curb the spread of the virus and decrease the number of infections. However, the security and privacy concerns (SPC) of COVID-19 MCTA have been called into question. Thus this paper examines the drivers of the acceptance of the COVID-19 pandemic MCTA under the auspices of the influence of SPC from the Chinese perspective based on the modified Unified Theory of Acceptance and Usage of Technology (UTAUT) model.
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