Dataset Information

COVID-19 Increases Online Searches for Emotional and Health-Related Terms.

ABSTRACT:

Background

The COVID-19 pandemic has powerfully shaped people's lives. The current work investigated the emotional and behavioral reactions people experience in response to COVID-19 through their internet searches. We hypothesised that when the prevalence rates of COVID-19 increase, people would experience more fear, which in turn would predict more searches for protective behaviors, health-related knowledge, and panic buying.

Methods

Prevalence rates of COVID-19 in the United States, the United Kingdom, Canada, and Australia were used as predictors. Fear-related emotions, protective behaviors, seeking health-related knowledge, and panic buying were measured using internet search volumes in Google Trends.

Results

We found that increased prevalence rates of COVID-19 were associated with more searches for protective behaviors, health knowledge, and panic buying. This pattern was consistent across four countries, the United States, the United Kingdom, Canada, and Australia. Fear-related emotions explained the associations between COVID-19 and the content of their internet searches.

Conclusions

Findings suggest that exposure to COVID-19 prevalence and fear-related emotions may motivate people to search for relevant health-related information so as to protect themselves from the pandemic.

SUBMITTER: Du H

PROVIDER: S-EPMC7675240 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundIntroducing national lockdown has been effective in containing Covid-19. However, several studies indicated negative impacts of lockdowns on the well-being and mental health of many people. In Austria, the first Covid-19-related lockdown was introduced on 16 March 2020 with most restrictions being lifted 1 month later. Seven months after that, in November 2020, the second full lockdown was implemented. The aim of this study was to compare the perceptions and experiences of the general population related to the first and second Covid-19 lockdowns in Austria.MethodsTwo waves of an online survey were conducted in May and December 2020 asking respondents about their concerns related to the Covid-19 illness, personal experiences of the lockdowns, perceptions of and compliance with imposed public health measures, and the impact of the Covid-19 pandemic on different aspects of life during the two lockdowns. Descriptive statistics including frequency analysis were used to compare respondents' answers collected in the two waves of the survey. T-test and chi-square tests were used to test differences between the two lockdowns.ResultsFive hundred sixty participants were included in the first wave and a sub-sample of 134 participants in the second wave of data collection. During the second lockdown, study respondents were more concerned about their family members contracting Covid-19 when compared with the first lockdown. Compliance with public health measures was overall lower during the second lockdown, although it varied according to the type of the measure. Closure of schools was seen as the least essential restriction during the second lockdown, while wearing masks gained additional approval between the first and the second lockdown. Larger negative impacts of the Covid-19 pandemic on friendships, leisure activities, education and community were reported during the second lockdown.ConclusionsThe study found that the extended duration of the pandemic and recurring lockdowns restricting freedom of movement and social contacts appear to have caused significant disruptions to many areas of life. Furthermore, declining adherence to most public health measures over time raises a question about the effectiveness of future lockdown measures.

Project description:Background: The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental insights on how collective social processes respond to extreme events. Objective: In this study, we built a generalized framework for applying social media data to understand public behavioral and emotional changes in response to COVID-19. Methods: Utilizing a complete dataset of Sina Weibo posts published by users in Wuhan from December 2019 to March 2020, we constructed a time-varying social network of 3.5 million users. In combination with community detection, text analysis, and sentiment analysis, we comprehensively analyzed the evolution of the social network structure, as well as the behavioral and emotional changes across four main stages of Wuhan's experience with the epidemic. Results: The empirical results indicate that almost all network indicators related to the network's size and the frequency of social interactions increased during the outbreak. The number of unique recipients, average degree, and transitivity increased by 24, 23, and 19% during the severe stage than before the outbreak, respectively. Additionally, the similarity of topics discussed on Weibo increased during the local peak of the epidemic. Most people began discussing the epidemic instead of the more varied cultural topics that dominated early conversations. The number of communities focused on COVID-19 increased by nearly 40 percent of the total number of communities. Finally, we find a statistically significant "rebound effect" by exploring the emotional content of the users' posts through paired sample t-test (P = 0.003). Conclusions: Following the evolution of the network and community structure can explain how collective social processes changed during the pandemic. These results can provide data-driven insights into the development of public attention during extreme events.