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Article
Publication date: 10 November 2020

Smita Goorah, Jayrani Cheeneebash, Ashvin Gopaul and Satish Ramchurn

Background: Fear has been a common response to the coronavirus disease 2019 (COVID-19) pandemic throughout the world. In Mauritius, the outbreak of COVID-19 has been an…

Abstract

Background: Fear has been a common response to the coronavirus disease 2019 (COVID-19) pandemic throughout the world. In Mauritius, the outbreak of COVID-19 has been an exceptional occurrence requiring stringent confinement of the population. In this study, we have explored people’s reactions to COVID-19 during confinement, with emphasis on fear and the impact of news on the level of fear.

Methods: An anonymized online survey was carried out during confinement. Participation was voluntary. Participants reported fear level on a scale from 1-10, where no fear scored 1 and maximum fear scored 10. Participants reported the impact of news on their fear level on a scale of 1-10, where 1 represented no impact and 10 represented maximum impact. Participants reported the status of information received about COVID-19 on a scale of 1-10 where 1 represented no information on COVID-19 and 10 represented maximum information on COVID-19.

Results: The self-rated level of fear during confinement had a mean of 5.09 with 95%CI [4.70, 5.47]. This increased to a mean of 6.39 with 95%CI [6.00-6.78] at the prospect of confinement being lifted. The difference was statistically significant (paired-sample T-test, p<0.001). With regard to the impact of news on fear of COVID-19, the mean for local news was 5.97 with 95%CI [5.59, 6.34] whereas that of worldwide news was 6.86 with 95%CI [6.50, 7.23]. Worldwide news had a more significant impact (paired-sample T-test, p<0.001). The information score about COVID-19 had a mean of 5.12 with 95%CI [4.71, 5.53].

Conclusions: Participants experienced a moderate level of fear of COVID-19 during confinement which increased at the prospect of confinement being lifted, implying that people felt safer during confinement. Their fear was influenced more by international news than by local news. Overall participants reported that they were moderately well informed about the COVID-19 pandemic.

Details

Emerald Open Research, vol. 1 no. 2
Type: Research Article
ISSN: 2631-3952

Keywords

Article
Publication date: 15 August 2023

Xin Tian, Wu He, Yuming He, Steve Albert and Michael Howard

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social…

Abstract

Purpose

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.

Design/methodology/approach

This research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).

Findings

The study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.

Practical implications

For hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.

Originality/value

The study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.

Details

Journal of Enterprise Information Management, vol. 36 no. 6
Type: Research Article
ISSN: 1741-0398

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