Background: With the World Health Organization’s pandemic declaration and government-initiated actions against coronavirus disease (COVID-19), sentiments surrounding COVID-19 have evolved rapidly. Objective: This study aimed to examine worldwide trends of four emotions—fear, anger, sadness, and joy—and the narratives underlying those emotions during the COVID-19 pandemic. Methods: Over 20 million social media twitter posts made during the early phases of the COVID-19 outbreak from January 28 to April 9, 2020, were collected using “wuhan,” “corona,” “nCov,” and “covid” as search keywords. Results: Public emotions shifted strongly from fear to anger over the course of the pandemic, while sadness and joy also surfaced. Findings from word clouds suggest that fears around shortages of COVID-19 tests and medical supplies became increasingly widespread discussion points. Anger shifted from xenophobia at the beginning of the pandemic to discourse around the stay-at-home notices. Sadness was highlighted by the topics of losing friends and family members, while topics related to joy included words of gratitude and good health. Conclusions: Overall, global COVID-19 sentiments have shown rapid evolutions within just the span of a few weeks. Findings suggest that emotion-driven collective issues around shared public distress experiences of the COVID-19 pandemic are developing and include large-scale social isolation and the loss of human lives. The steady rise of societal concerns indicated by negative emotions needs to be monitored and controlled by complementing regular crisis communication with strategic public health communication that aims to balance public psychological wellbeing.

While social media has been increasingly used for communication of infectious disease outbreaks, little is known about how social media can improve strategic communication across various stages of the health crisis. The Crisis and Emergency Risk Communication Model (Reynolds & Seeger, 2005; CERC) outlines strategies across different crisis phases and can guide crisis communication on social media. This research therefore investigates how social media can be utilized to implement and adapt the CERC model, by examining the strategic uses of Facebook in communicating the recent Zika epidemic by health authorities in Singapore. Zika-related Facebook posts of three main Singapore health agencies published within the one year period from January 2016 to December 2016 were thematically analysed. Results suggest that Facebook was used to communicate the crisis strategically, which supported and added to the CERC model. Novel uses of Facebook for outbreak communication were demonstrated, including promoting public common responsibility for disease prevention and expressing regards to the public for cooperation. Results also suggested that preparedness messages might be the most effective, as they produced a great level of public engagement. The adaptability of the CERC model in social media contexts to improve crisis communication is discussed.

EHealth can empower patients to make informed health decisions. However, inaccurate and misleading health information is not uncommon on the Internet, which requires users’ competencies to both utilize eHealth technologies and evaluate eHealth credibilities. Therefore, this study investigates the determinants of both self-efficacy in utilizing eHealth and frequency of eHealth information evaluation. An Internet-based survey of 923 Chinese adults who are residing in China aged from 21 to 55 years old was conducted. Path analysis was adopted to examine sociodemographic variables, Internet literacy, and health information evaluation as determinants of eHealth literacy variables. Findings demonstrated that Internet literacy positively predicted only self-efficacy in utilizing eHealth. In contrast, health information orientation positively predicted both self-efficacy in utilizing eHealth and frequency of eHealth information evaluation. In addition, Internet literacy and health information orientation mediated the predicted effects of sociodemographic factors on the two eHealth variables. The findings imply that Internet literacy is no longer the primary determinant of eHealth competencies for adults who are tech-savvy users. Instead, interests in health information play a crucial role in improving eHealth competencies.