ArticleHealth policy OPEN2022
Perception and determinants of Social Networking Sites (SNS) on spreading awareness and panic during the COVID-19 pandemic in Bangladesh.
Article in Health policy OPEN, 2022. 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, 9 citations in OpenAlex.
- COVID-19 Resilience and Risk Reduction Intervention in Rural Populations of Western India: Retrospective Evaluation.JMIR public health and surveillance · 2024Article
- The challenges brought by the COVID-19 pandemic to health systems exposed pre-existing gaps.Health policy OPEN · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The COVID-19 pandemic is an unprecedented and unique fallout worldwide and creates colossal disruption in human survival. During the pandemic, social networking sites (SNS) played a significant role in disseminating news related to the pandemic. Methods: This research is based on primary data collected from 400 successful respondents via online Google Form. Bivariate Pearson's Chi-square and multivariate binary logistic regression analysis were performed to determine the impact of the explanatory variables on the study variables. Results: This study reveals that most respondents (n = 360, 90 %) use SNS to get up-to-date news, and 72.5 % (n = 290) read health-related information. The highest number of participants (n = 386, 96.5 %) were Facebook users. Multivariate binary logistic regression reveals that "reading news on SNS" and "sharing information related to COVID-19 on social media" significantly influence the spread of awareness of COVID-19. "Unauthentic news sources" and "stop using social media to stay away from panic" also have a substantial impact on the spread of panic during the COVID-19 pandemic. Conclusion: SNS has become an inevitable medium of information carrier nowadays. Social media users are found significantly aware of the COVID-19 pandemic. The findings of this study might assist the concerned persons in taking the necessary steps to propagate authentic news and regulate appropriate policies to prevent spreading misinformation.
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.