ArticleScientific reports2025
The internet usage increases fear of infection with Covid-19.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Prevalence and Correlates of Depressive Symptoms in Canada During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis Based on 144 Studies Including 406,043 Participants: Prévalence et corrélats des symptômes dépressifs au Canada pendant la pandémie de COVID-19 : revue systématique et méta-analyse de 144 études comprenant 406 043 participants.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026Review
- The effects of emotional contagion on fear of contagion/ transmission in communicable diseases: emotional epidemic.BMC psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
During the Covid-19 pandemic, because of convenience and efficiency, the internet has emerged as an important channel for both acquiring information and engaging in social interaction.The internet plays a crucial role in keeping individuals informed and connected during the Covid-19 pandemic. However, the effects of the massive and untruthful information on the internet, as well as the excessive use of the internet during the Covid-19 pandemic, especially on the individuals fear and panic of infection with Covid-19, have not been adequately addressed. We utilize the data of Chinese General Social Survey (CGSS) in the year of 2021, as one of a national, comprehensive and continuous survey projects which is conducted a cross-sectional survey among provinces in mainland China each year, to test the relationship between the internet usage and the individuals fear of infection with Covid-19. By utilizing Ordered-Probit model, we find that the higher frequency of the internet usage significantly increases the individuals fear of infection with Covid-19. On average, when individuals use the internet from never use to very often, the probability of feeling not too fearful to be infected with Covid-19 decreases by 2%. Additionally, the findings reveal that the impact is particularly pronounced among females, middle-income individuals, older individuals and those with lower educational levels. The results also indicate that the effect is greater among the individuals with chronic diseases, those who spend less time studying, and feel they are unlikely to be infected with Covid-19. Furthermore, as the frequency of internet usage increases, we observe a corresponding rise in the likelihood of receiving a vaccine, along with a change in attitudes towards the measures implemented by the government.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.