Social Media Data Analytics on Telehealth During the COVID-19 Pandemic

Massaad, Elie; Cherfan, Patrick

doi:10.7759/cureus.7838

Cited by 42 publications

(49 citation statements)

References 11 publications

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“…Uncertainty breeds rumors and confusion, and social media platforms offer a fertile space for misinformation to be generated and disseminated [ 28 ]. This study highlighted the need for public health bodies to continue social media campaigns to minimize the circulation of inaccurate information about COVID-19 [ 23 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Zhou¹,

Bishwajit²,

Wang³

et al. 2020

J Med Internet Res

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Background Great efforts have been made to prevent the spread of COVID-19, including national initiatives to promote the change of personal behaviors. The lessons learned from the 2003 SARS outbreak indicate that knowledge and attitudes about infectious diseases are related to panic among the population, which may further complicate efforts to prevent the spread of infectious diseases. Misunderstandings may result in behaviors such as underestimation, panic, and taking ineffective measures to avoid infection; these behaviors are likely to cause the epidemic to spread further. Objective The purpose of this study is to assess public health perceptions and misunderstandings about COVID-19 in China, and to propose targeted response measures based on the findings to control the development of the epidemic. Methods The study was conducted in April 2020 through an online survey, with participants in 8 provinces in Eastern, Central, and Western China. We designed a questionnaire with a health knowledge section consisting of 5 questions (4 conventional questions and 1 misleading question) on clinical features of and preventive measures against COVID-19. Descriptive statistics, chi-square analysis, binary logistic regression, and Mantel-Haenszel hierarchical analysis were used for statistical analysis. Results In total, 4788 participants completed the survey and the mean knowledge score was 4.63 (SD 0.67), gained mainly through experts (76.1%), television (60.0%), newspapers (57.9%), and opinions (46.6%) and videos (42.9%) from social media. Compared to those who obtained information from only 1 or 2 channels, people who obtained information from >3 channels had increased health perception and a better ability to identify misleading information. Suggestions from experts were the most positive information source (χ2=41.61), while information on social media was the most misleading. Those aged >60 years (OR 1.52, 95% CI 1.10-2.11), those with a lower or middle income (OR 1.36, 95% CI 1.00-1.83), those not working and not able to work (OR 1.83, 95% CI 1.04-3.21), those with a household income <100,000 RMB (<US $14,954; OR 1.34, 95% CI 1.08-1.67), and those with >2 suspected symptoms (OR 2.95, 95% CI 1.50-5.80) were more likely to be misled by videos on social media, but the error correction effect of expert advice was limited in these groups. Conclusions Multiple information channels can improve public health perception and the identification of misleading information during the COVID-19 pandemic. Videos on social media increased the risk of rumor propagation among vulnerable groups. We suggest the government should strengthen social media regulation and increase experts’ influence on the targeted vulnerable populations to reduce the risk of rumors spreading.

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Section: Discussionmentioning

confidence: 99%

Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study

Zhou¹,

Bishwajit²,

Wang³

et al. 2020

J Med Internet Res

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show abstract

“…10 covid-19 risk/NPI segments prevail into the continental European population, a larger set of segments than what has been found so far in the literature using a more restrictive set of attitudes, e.g. Massaad and Cherfan (2020).…”

Section: High-level Findingsmentioning

confidence: 83%

“…Fourth, the study uses cluster analysis as a powerful way to assess where the population can be represented by some cohesive attitudinal segments, as highlighted for early epidemic outbreaks such as SARS or H1N1 (see Vaughan, 2011;Leppin and Aro, 2009). Regarding covid-19, Massaad and Cherfan (2020) leverage tweets to demonstrate the prevalence of clusters linked to the extent of perception of morbidity risk of the covid-19 disease. Bodrud-Doza et al (2020) use a survey in Bangladesh to assess the type of risk perception linked to covid and find four cluster groups that are linked to mortality risks and food scarcity, socio-economic issues, or mental health issues.…”

Section: Article Scope and Fit With The Literaturementioning

confidence: 99%

Perceptive Risk Clusters of European Citizens and NPI Compliance in Face of the COVID-19 Pandemics

Bughin

Cincera

Reykowska³

et al. 2020

SSRN Journal

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“…The social media platform is being used widely in the outbreak situation of COVID-19 due to the high availability and user-friendliness of the platforms [ 30 , 31 ]. In this type of telehealth system, doctors and other specialized radiologists are connected to such a social platform [ 32 , 33 ].…”

Section: Telehealth Systemsmentioning

confidence: 99%