Internet searches for “insomnia” and “suicide” mediated by stay-at-home behaviors in 45 countries during the first 12 months of the COVID-19 pandemic

Lin, Sheng‐Hsuan; Lan, Yu-Tung; Hsia, Pei-Hsuan; Kao, Chu-Lan Michael; Tsou, Hsiao‐Hui

doi:10.1016/j.jad.2022.12.139

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…These major public health safety problems are endangering people's physical and mental health and hindering social and economic development. [3][4][5] Increasing numbers of experts and scholars are studying disease transmission patterns and clarifying disease transmission mechanisms to better control and prevent disease transmission. [6] Several studies have proposed various classical models of infectious diseases to clearly describe the process of disease transmission, such as the susceptible-infected-susceptible (SIS) model [7,8] and the susceptible-infected-recovered (SIR) model.…”

Section: Introductionmentioning

confidence: 99%

Studying the co-evolution of information diffusion, vaccination behavior and disease transmission in multilayer networks with local and global effects

Huo 霍,

Wu 武

2024

Chinese Phys. B

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Nowadays, with the rapid development of the Internet, a large amount of information often accompanies the rapid transmission of disease outbreaks, and more and more scholars are studying the relationship between information and the disease transmission process on the basis of complex networks. In fact, the disease transmission process is very complex, beside the information of this factor, often will be individual behavioral measures and other factors together, most of the previous research to establish a two-layer network model to consider the impact of information on the transmission process of disease, divided into information and behavior respectively on the transmission of diseases less research, in order to more in-depth analyze disease transmission process and the intrinsic influence mechanism, this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamics co-evolution of information diffusion, vaccination behavior, and disease transmission is proposed considering four influential relationships between adjacent layers in multilayer networks. In the information layer, the diffusion process of negative information is described, and the feedback effects of the local and global vaccination are considered; in the behavioral layer, the individual vaccination behavior is described, and the probability of individual receiving vaccination behavior is influenced by two factors:one is the influence of negative information, and the other is the influence of local and global disease severity; in the disease layer, individual susceptibility is considered to be influenced by vaccination behavior. The state transition equations are derived by using the Micro Markov Chain Approach (MMCA), and disease prevalence thresholds are obtained. It was demonstrated through simulation experiments that the negative information diffusion is less influenced by local vaccination behavior, and is mainly influenced by global vaccination behavior; the vaccination behavior is mainly influenced by local disease conditions, is less influenced by global disease conditions; the disease transmission threshold increases with increasing vaccination rate; the scale of disease transmission increases with increasing negative information diffusion rate and decreases with increasing vaccination rate. Finally, it is found that when individual vaccination behavior considers both the influence of negative information and disease, it can increase the disease transmission threshold and reduce the scale of disease transmission, so we should resist the diffusion of negative information, increase vaccination proportion, and take appropriate protective measures in time.

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Section: Introductionmentioning

confidence: 99%

Studying the co-evolution of information diffusion, vaccination behavior and disease transmission in multilayer networks with local and global effects

Huo 霍,

Wu 武

2024

Chinese Phys. B

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“…Zhu et al (2021) observed an increase in search volume for "divorce" on Baidu, a popular search engine in China, following the successive issuance of stay-at-home orders in various Chinese cities. Google search volume has also been used as a valid and convenient metric to gauge and predict public interests and behaviors, spanning areas such as mental health (Lin et al, 2023, Yang et al, 2010, attitudes towards suicide (Solano et al, 2016), compliance with health policies (Lin et al, 2020), and forecasting infection outbreaks (Husnayain et al, 2020). Analyzing search volume data can provide a higher temporal resolution than divorce rates, rendering it a robust tool for scrutinizing longitudinal shifts at the population level.…”

Section: Introductionmentioning

confidence: 99%

“…1, 2015 to October 15, 2022 across 45 countries were retrieved from the Google Trends database. The term "divorce" was translated from both Chinese and English into local languages of the 45 countries with back-translation on Google Translate(Lin et al, 2023), as shown in Table1. Translations of "divorce", average COVID-19 monthly death rates, average changes in daily home activities, and average changes in weekly Google search volume for divorce from March 1, 2020 to October 15, 2022 across 45 countries.…”

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confidence: 99%

The COVID-19 Pandemic and Internet Searches for Divorce with Stay-at-Home Behavior as a Mediator: A Multinational Longitudinal Study (Preprint)

Chen MD, PhD,

Cheng MD,

Lin MD, PhD

et al. 2024

Preprint

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BACKGROUND Amidst the COVID-19 pandemic, varying impacts on family dynamics have been observed, with an intriguing paradox of declining divorce rates despite increased strains such as intimate partner violence. OBJECTIVE This study investigates the pandemic's influence on divorce contemplations through internet search behaviors across 45 countries over an extended period, considering the role of stay-at-home behavior and national income levels. METHODS A retrospective analysis was conducted using Google Trends data on divorce search volumes and Google Location History for stay-at-home behavior, alongside COVID-19 death rates, from March 2020 to October 2022. A causal mediation analysis explored the mediation effect of stay-at-home behavior on the relationship between the pandemic's severity and divorce-related searches. RESULTS Across all countries, the initial two years of the pandemic saw a significant association between COVID-19 death rates and a decrease in divorce search volumes, without a notable mediation effect. In the third year, the mediation effect of stay-at-home behavior became significantly positive. Notably, in high-income countries, this mediation effect became increasingly significant, contrasting with middle-income countries where the initial negative association between COVID-19 death rates and divorce searches weakened over time. CONCLUSIONS The interplay between the pandemic and stay-at-home behavior on marital reconsideration transitions from acting as a protective buffer to facilitating an increase in divorce contemplations. This underscores the importance of adaptable support strategies in response to changing societal dynamics.

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Is it possible to circumnavigate the APIcalypse? On challenges to study mental health in the age of digitalization and AI

Montag,

Hall,

Lin

2024

The European Journal of Psychiatry

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Internet searches for “insomnia” and “suicide” mediated by stay-at-home behaviors in 45 countries during the first 12 months of the COVID-19 pandemic

Cited by 4 publications

References 25 publications

Studying the co-evolution of information diffusion, vaccination behavior and disease transmission in multilayer networks with local and global effects

Studying the co-evolution of information diffusion, vaccination behavior and disease transmission in multilayer networks with local and global effects

The COVID-19 Pandemic and Internet Searches for Divorce with Stay-at-Home Behavior as a Mediator: A Multinational Longitudinal Study (Preprint)

Is it possible to circumnavigate the APIcalypse? On challenges to study mental health in the age of digitalization and AI

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