Mainstream News Media's Role in Public Health Communication During Crises: Assessment of Coverage and Correction of COVID-19 Misinformation.

Public health crises like the ongoing COVID-19 pandemic appear to be the perfect breeding ground for misinformation. As influential information sources, mainstream news media have a unique opportunity to use their platform to debunk and educate the public about misinformation. Despite evidence lending support to the potential for mainstream news media to play a larger role in combating misinformation in society, empirical explorations of how they have contributed to the management of misinformation remain scant. This study aims to address these major gaps in research by investigating how mainstream news dailies gatekeep and correct COVID-19 related misinformation in Singapore. The content of 164 news articles published by the mainstream news dailies in Singapore from January 1 to April 30, 2020 on COVID-19 misinformation was analyzed qualitatively and quantitatively. Results show that the two main types of misinformation, fabricated and reconfigured misinformation, were covered almost equally by mainstream news media. Misinformation related to science and health were most frequently reported, followed by scams, and government policy. Statistically significant differences were found between how mainstream news media corrected the various types and topics of misinformation. Significant differences were also found within the various types, topics, and corrections of misinformation across the early stages of the pandemic. Taken together, these findings shed light on the critical role of mainstream news media as public education tools to correct misinformation during public health crises. From a theoretical perspective, these findings contribute to the understanding of media misinformation gatekeeping, and misinformation correction. From a practical perspective, it highlights the capacity and potential roles of the press in supporting government efforts to combat misinformation.

The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States.

Background: Public sentiments are an important indicator of crisis response, with the need to balance exigency without adding to panic or projecting overconfidence. Given the rapid spread of the COVID-19 pandemic, governments have enacted various nationwide measures against the disease with social media platforms providing the previously unparalleled communication space for the global populations. Objective: This research aims to examine and provide a macro-level narrative of the evolution of public sentiments on social media at national levels, by comparing Twitter data from India, Singapore, South Korea, the United Kingdom, and the United States during the current pandemic. Methods: A total of 67,363,091 Twitter posts on COVID-19 from January 28, 2020, to April 28, 2021, were analyzed from the 5 countries with "wuhan," "corona," "nCov," and "covid" as search keywords. Change in sentiments ("very negative," "negative," "neutral or mixed," "positive," "very positive") were compared between countries in connection with disease milestones and public health directives. Results: Country-specific assessments show that negative sentiments were predominant across all 5 countries during the initial period of the global pandemic. However, positive sentiments encompassing hope, resilience, and support arose at differing intensities across the 5 countries, particularly in Asian countries. In the next stage of the pandemic, India, Singapore, and South Korea faced escalating waves of COVID-19 cases, resulting in negative sentiments, but positive sentiments appeared simultaneously. In contrast, although negative sentiments in the United Kingdom and the United States increased substantially after the declaration of a national public emergency, strong parallel positive sentiments were slow to surface. Conclusions: Our findings on sentiments across countries facing similar outbreak concerns suggest potential associations between government response actions both in terms of policy and communications, and public sentiment trends. Overall, a more concerted approach to government crisis communication appears to be associated with more stable and less volatile public sentiments over the evolution of the COVID-19 pandemic.

Exploring theory-based behavioral interventions promoting COVID-19 prevention and healthcare-seeking for migrant worker men in Singapore: a qualitative study.

BACKGROUND: The first wave of COVID-19 during April to July 2020 in Singapore largely affected the migrant workers living in residential dormitories. A government taskforce working with dormitory operators, employers and non-government agencies came together to deliver behavioral interventions and health care services for migrant worker as dorms were imposed movement restrictions. To fill the research gap in understanding movement restriction experiences of migrant workers, this research seeks to describe dormitory contexts and explore behavior change related to both prevention of transmission as well as healthcare seeking for COVID-19 among male migrant workers. METHODS: With social constructivism as the foundation for this study, 23 telephone interviews were conducted with Bangladeshi and Indian migrant workers. A theory-informed, data-driven conceptual framework, characterized by the "Four Ss": Sensitization, Surveillance, Self-preservation, and Segregation was first generated and later used to frame second-stage, more in-depth, thematic analyses. An effective multipronged approach was documented, persuading migrant workers in our case-study to improve hygiene and follow some safe distancing measures, and adhere to help-seeking when symptomatic. RESULTS: Rapid collective adaptation was demonstrated; it was propped up by effective harnessing of infrastructure and technology. While technology and digital platforms were central to shaping Sensitization for prevention-related behaviors, interpersonal communication, especially peer-sharing, was key to normalizing and accepting healthcare delivery and norms about healthcare seeking. Interpersonal factors particularly supported successful implementation of case-detection Surveillance, stimulating Self-preserving and acceptance of rules, and was found helpful to those Segregated in recovery facilities. In contrast, encouraging prevention-related behaviors relied more heavily on multiple online-platforms, phone-based e-learning/knowledge testing, e-monitoring of behavior, as well as interpersonal exchanges. CONCLUSION: Overall, the findings showed that the conception of the Four Ss helped inform intervention strategies. Anchoring these towards optimal use of technology and harnessing of interpersonal communication for prevention and promotion of healthcare seeking in the planning of future Infectious Disease outbreaks in closed institutional settings is recommended.

Exploring COVID-19 circuit breaker (CB) restrictions at a migrant worker dormitory in Singapore: a case study and nested mixed-method analysis of stress management and mental health

Introduction Measures to mitigate the COVID-19 outbreak in the migrant worker dormitories in Singapore included lockdown and isolation of residents for prolonged periods. In this paper, we explore efforts to ease tensions and support mental health under these conditions. Methods Case study of dormitory residents under lockdown from April to August 2020 comprises a nested mixed-method approach using an online questionnaire (n=175) and semistructured interviews (n=23) of migrant workers sampled from the survey (August to September 2020). Logistic regression models were used to analyse survey data. Semistructured interviews were analysed using applied thematic analysis. Results Survey and interview data showed that mental health was largely protected despite initial rising tensions over restrictions during lockdown. Sources of tension negatively affecting low stress responses included job related worries, OR=0.07 (95% CI 0.03 to 0.18, p<0.001), poor communication with employers, OR=0.12 (95% CI 0.03 to 0.44, p<0.001) and loneliness, OR=0.24 (95% CI 0.10 to 0.55, p<0.001). Interview narratives concurrently revealed themes around job insecurity and the effects of the lockdown ‘not being good for mind and body’, the imposition of new rules and regulations compounded by the most emphasised concern—worry about family back home. Interviewees shared how their adaptive capability played a pivotal protective role alongside social support and solidarity;aided by regular use of messaging applications, which supported mental health, OR=4.81 (95% CI 1.54 to 15.21, p<0.01). Employers were described as central to alleviating tensions, providing feedback loops to improve dorm conditions. Employees feeling their employers cared about their health and well-being was especially protective to mental health, OR=17.24 (95% CI 4.00 to 85.74, p<0.001). Gratitude and trust in government and healthcare provision was widely acknowledged. Concurrently, related attitudes such as believing in the timeliness and appropriateness of the lockdown also protected mental health, OR 2.85 (95% CI 1.08 to 7.39, p=0.03). Conclusion Tensions are mapped to protective solutions informing guidelines for future outbreak stress management response.

Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia.

To inform data-driven decisions in fighting the global pandemic caused by COVID-19, this research develops a spatiotemporal analysis framework under the combination of an ensemble model (random forest regression) and a multi-objective optimization algorithm (NSGA-II). It has been verified for four Asian countries, including Japan, South Korea, Pakistan, and Nepal. Accordingly, we can gain some valuable experience to better understand the disease evolution, forecast the prevalence of the disease, which can provide sustainable evidence to guide further intervention and management. Random forest with a proper rolling time-window can learn the combined effects of environmental and social factors to accurately predict the daily growth of confirmed cases and daily death rate on a national scale, which is followed by NSGA-II to find a range of Pareto optimal solutions for ensuring the minimization of the infection rate and mortality at the same time. Experimental results demonstrate that the predictive model can alert the local government in advance, allowing the accused time to put forward relevant measures. The temperature in the category of environment and the stringency index belonging to the social factor are identified as the top 2 important features to exert a greater impact on the virus transmission. Moreover, optimal solutions provide references to design the best control strategies towards pandemic containment and prevention that can accommodate the country-specific circumstance, which are possible to decrease the two objectives by more than 95%. In particular, appropriate adjustment of social-related features needs to take priority over others, since it can bring about at least 1.47% average improvement of two objectives compared to environmental factors.

Government trust, perceptions of COVID-19 and behaviour change: cohort surveys, Singapore.

OBJECTIVE: To evaluate how public perceptions and trust in government communications affected the adoption of protective behaviour in Singapore during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: We launched our community-based cohort to assess public perceptions of infectious disease outbreaks in mid-2019. After the first case of COVID-19 was reported in Singapore on 23 January, we launched a series of seven COVID-19 surveys to both existing and regularly enrolled new participants every 2 weeks. As well as sociodemographic properties of the participants, we recorded changing responses to judge awareness of the situation, trust in various information sources and perceived risk. We used multivariable logistic regression models to evaluate associations with perceptions of risk and self-reported adopted frequencies of protective behaviour. FINDINGS: Our cohort of 633 participants provided 2857 unique responses during the seven COVID-19 surveys. Most agreed or strongly agreed that information from official government sources (99.1%; 528/533) and Singapore-based news agencies (97.9%; 522/533) was trustworthy. Trust in government communication was significantly associated with higher perceived threat (odds ratio, OR: 2.2; 95% confidence interval, CI: 1.6-3.0), but inversely associated with perceived risk of infection (OR: 0.6; 95% CI: 0.4-0.8) or risk of death if infected (OR: 0.6; 95% CI: 0.4-0.9). Trust in government communication was also associated with a greater likelihood of adopting protective behaviour. CONCLUSION: Our findings show that trust is a vital commodity when managing an evolving outbreak. Our repeated surveys provided real-time feedback, allowing an improved understanding of the interplay between perceptions, trust and behaviour.

A Digital Mobile Community App for Caregivers in Singapore: Predevelopment and Usability Study.

BACKGROUND: With increasing life expectancy and aging populations, the global prevalence of chronic diseases and the long-term care required for people with comorbidities is rising. This has led to an ever-growing need for caregiving. Previous literature has shown that caregivers face problems of isolation and loneliness. However, many health organizations mainly focus their efforts on in-person community groups that require participants to meet physically. This is not always convenient or accessible for caregivers who are often juggling caring for their care recipient with family and work responsibilities. OBJECTIVE: With medical advancements such as the proliferation of mobile phones and internet technology, caregivers may have opportunities for easier access to resources and support. Technological innovations could help empower the caregiving community to seek assistance for improving their quality of life at their convenience. A community network app called Caregivers' Circle was conceptualized in response to the needs of the caregivers on a day-to-day caregiving journey. This paper traces the predevelopment inquiry and technical details of this app to provide a clear understanding of its implementation along with a usability study to gauge user opinion of the app within Singapore. METHODS: A predevelopment survey was conducted to identify specific needs of caregivers and gaps in the currently available web-based community networks. The survey consisted of questions on demographical data, health-related issues of the care recipient, mental and physical health-related issues of the caregiver, digital media use, information seeking, and support. This pre-app development survey was completed by 103 caregivers. Qualitative enquiries were also conducted with caregivers within Singapore to identify issues related to caregiving, support provided, and what caregivers would want from a caregiving mobile app. RESULTS: From the feedback garnered from the caregivers, the developers were able to identify several caregivers' needs and gaps within the current support networks. This feedback was integrated into the mobile app called Caregivers' Circle upon development. The features of this app include a public forum for community discussions, a marketplace to buy and sell items, care groups to hold private discussions with friends or other users of the app, and a friends feature to search and add new caregiving friends. CONCLUSIONS: In general, the caregivers liked the Caregivers' Circle app and were confident that this app could help them have a better quality of life. The Caregivers' Circle app is unique in its integrated approach. The integration of many features that caregivers need on a daily basis into an easy app can save their time as well as help them navigate their life smoothly.