Risk assessments are common in multiple domains, from finance to medicine. They require evaluating an event\'s potential severity and likelihood. We investigate the possible dependence of likelihood and severity within the domain of impact-based weather forecasting (IBF), following predictions derived from considering asymmetric loss functions. In a collaboration between UK psychologists and partners from four meteorological organisations in Southeast Asia, we conducted two studies (N = 363) eliciting weather warnings from forecasters. Forecasters provided warnings denoting higher likelihoods for high severity impacts than low severity impacts, despite these impacts being described as having the same explicit numerical likelihood of occurrence. This \'Severity effect\' is pervasive, and we find it can have a continued influence even for an updated forecast. It is additionally observed when translating warnings made on a risk matrix to numerical probabilities.

There is continued scientific debate regarding the link between risk of COVID-19 infection and increased disease severity and tobacco and cannabis use. The way this topic is presented in news media coverage may influence public attitudes and behavior and is thus an important topic of investigation. This study examines (1) the extent to which Israeli news media reported a positive (i.e., protective/therapeutic), negative (i.e., harmful), or inconclusive association between three types of substance use (tobacco, medical cannabis, recreational cannabis) and risk of COVID-19 infection and/or increased disease severity, and (2) the extent that this media coverage refers to scientific research.
A quantitative content analysis of news articles related to tobacco and cannabis use and COVID-19 (N = 113) from eleven of the highest circulation newspapers in Israel.
News items were significantly more likely to mention increased COVID-19 risk for tobacco use, compared to cannabis use. All medical cannabis news items reported that medical cannabis use was associated with reduced COVID-19 risk. In contrast, news items about recreational cannabis use were more likely to describe a balanced or inconclusive risk for COVID-19, or increased risk. The majority of articles referred to scientific research.
While Israeli news media reported a relatively consistent message about the increased risk of COVID-19 in relation to tobacco use, messages about cannabis use were less consistent in communicating risk information. Research should examine effects of media coverage of tobacco and cannabis use and COVID-19 on public perceptions and behaviors.

There has been a consistent rise in urban disasters, particularly in developing countries located in tropical areas. Among various challenges of disaster risk management and climate change impacts, it is noted that most residents are poorly informed about their risk exposure or apposite response. The paper is based on the premise that one important cause for this gap is inadequate emphasis on risk communication at different levels of planning and agreements. Accordingly, it highlights some important gaps in the risk communication across international agreements including Sendai Framework for Disaster Risk Reduction (SFDRR), Sustainable Development Goals (SDGs), and United Nations Framework Convention on Climate Change (UNFCCC), and evaluates their impacts at the local level. It brings three selected urban case studies located in the tropical areas of the South Asia region that illustrate gaps in risk communication that result in enhanced vulnerability and deviations in response. The findings are based on secondary data and literature focusing on global agreements, risk communication, and disaster response. The paper argues that even though global strategies address urban risks, the fragmented nature of risk communication results in poor response and contributes to losses that occur in disasters. Three critical gaps noted in risk communication include (i) it not prioritized at different levels, (ii) inadequate structures to measure its impacts and stakeholders inclusiveness, and (iii) indifference to cultural diversity and integration. Further, it is suggested that there is a need to redefine risk communication at the global scale that extends beyond warning generation and considers multiple factors influencing response including interlinked vulnerabilities and variations in perceptions emerging from varied geographical, socio-cultural, economic, and political processes.

Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease, and risk communication is one of several public health emergency responses. During the pandemic, many migrant workers in Thailand experienced barriers that hamper access to health information. This study aims to explore factors related to the outcomes of health risk communication, including awareness of public health measures and preventive practices. We conducted a cross-sectional survey on migrants between January and April 2021 using cluster sampling in Phuket, Ranong, and Samut Sakhon. In the descriptive analysis, we presented the median, proportion, and ratio, while in the inferential analysis, we employed a logistic regression with robust standard errors. Although a total of 303 participants were initially included in this study, the final number was narrowed down to 288 samples due to insufficient information required for the analysis. Frequent reception of health information and primary school education showed a statistically significant association with preventive practices. Middle-aged migrant workers demonstrated a significantly lower level of preventive practices than younger migrant workers. A longer stay in Thailand was significantly related to a lower degree of awareness toward public health measures. Thus, it is necessary to promote the accessibility of health information among migrant workers in Thailand, especially those who have lived in Thailand for more than eight years, are older, and have no formal education.

The South African disaster response activities surpass risk reduction since the implementation of the Disaster Management Act 57 of 2002 (DMA) and the National Disaster Management Framework of 2005 (NDMF). Risk reduction, in particular risk communication, remained unexploited until the occurrence of coronavirus disease 2019 (COVID-19) pandemic. The legislation and policy mandate a proactive approach for disaster management, requiring a focus on disaster risk reduction. Therefore, this study aimed to assess the significance of risk communication as a critical prevention and mitigatory strategy in disaster risk management, focusing on the COVID-19 pandemic. Key to risk communication success is ensuring adequate comprehension, accurate perception of the disseminated information, and compliance with regulations. Questions of trustworthiness, acceptability, effectiveness, and usefulness of messages and strategies communicated sought answers from the Bloemfontein population. Furthermore, the Agenda-setting Theory provided the grounding for the study. The study sample was picked in a stratified random sampling manner, using the confidence level and margin of error equation. A questionnaire survey was used to collect the data required to achieve the research objectives. Risk communication as a disaster risk reduction strategy implemented concurrently with imposed regulations was found to have played a vital role in mitigating the virus spread. However, the respondents were not aware of the local disaster management centre, which is supposed to be engaged in COVID-19 disaster management activities.

The perceived safety of tap water is an important condition for consumers to drink it. Therefore, addressing consumers\' concerns should be included in the roadmap towards the UN SDG 6 on safe drinking water for all. This paper studies consumers\' information needs regarding emerging contaminants in drinking water using a mental model approach for the development of targeted risk communication. As most consumers expect safe drinking water, free of contamination, communication on emerging contaminants may increase concerns. Here, we showed that communication strategies better tailored to consumers\' information needs result in smaller increases in risk perception compared with existing strategies.

COVID-19, caused by SARS-CoV-2, has led to a global pandemic. The World Health Organization has also declared an infodemic (ie, a plethora of information regarding COVID-19 containing both false and accurate information circulated on the internet). Hence, it has become critical to test the veracity of information shared online and analyze the evolution of discussed topics among citizens related to the pandemic.
This research analyzes the public discourse on COVID-19. It characterizes risk communication patterns in four Asian countries with outbreaks at varying degrees of severity: South Korea, Iran, Vietnam, and India.
We collected tweets on COVID-19 from four Asian countries in the early phase of the disease outbreak from January to March 2020. The data set was collected by relevant keywords in each language, as suggested by locals. We present a method to automatically extract a time-topic cohesive relationship in an unsupervised fashion based on natural language processing. The extracted topics were evaluated qualitatively based on their semantic meanings.
This research found that each government\'s official phases of the epidemic were not well aligned with the degree of public attention represented by the daily tweet counts. Inspired by the issue-attention cycle theory, the presented natural language processing model can identify meaningful transition phases in the discussed topics among citizens. The analysis revealed an inverse relationship between the tweet count and topic diversity.
This paper compares similarities and differences of pandemic-related social media discourse in Asian countries. We observed multiple prominent peaks in the daily tweet counts across all countries, indicating multiple issue-attention cycles. Our analysis identified which topics the public concentrated on; some of these topics were related to misinformation and hate speech. These findings and the ability to quickly identify key topics can empower global efforts to fight against an infodemic during a pandemic.

UNASSIGNED: Recall announcements by the U.S. Food and Drug Administration (FDA) and Food Safety and Inspection Service (FSIS) are important communication tools. Nonetheless, previous studies revealed that the effects of recalls on consumer demand are small. Social media analytics can provide insights into public awareness of food safety-related incidents. This study included social listening data to analyze how the public, in social and online media spaces, responds to, interacts with, and references food safety recalls and/or initial announcements of foodborne illness outbreaks as reported by the Centers for Disease Control and Prevention (CDC). Analysis results suggest that mentions quantified in the social and online media searches moved closer in step with the CDC\'s initial reports of foodborne illness outbreaks than did FDA and FSIS recall announcements. Issuance of recalls may not be a popular source of food risk information in the social media space compared with reactions to the CDC\'s initial illness reports. This relative popularity reflects people more often sharing or posting about illness risk regardless of whether a recall occurs, suggesting that recall announcements by the FDA and FSIS may not induce changes in consumers\' behavior, whereas initial illness reports by the CDC may. Although recalls by the FDA and FSIS may not generate social media posts, their primary role is to take potentially unsafe food items off grocery shelves. Online media analytics provide policy makers with information to guide effective food risk communication; initial CDC reports drive immediate attention more than do FDA and FSIS recalls.
CONCLUSIONS:

Governments around the world have made data on COVID-19 testing, case numbers, hospitalizations and deaths openly available, and a breadth of researchers, media sources and data scientists have curated and used these data to inform the public about the state of the coronavirus pandemic. However, it is unclear if all data being released convey anything useful beyond the reputational benefits of governments wishing to appear open and transparent. In this analysis we use Ontario, Canada as a case study to assess the value of publicly available SARS-CoV-2 positive case numbers. Using a combination of real data and simulations, we find that daily publicly available test results probably contain considerable error about individual risk (measured as proportion of tests that are positive, population based incidence and prevalence of active cases) and that short term variations are very unlikely to provide useful information for any plausible decision making on the part of individual citizens. Open government data can increase the transparency and accountability of government, however it is essential that all publication, use and re-use of these data highlight their weaknesses to ensure that the public is properly informed about the uncertainty associated with SARS-CoV-2 information.

A cluster of 18 scarlet fever cases and large illness absenteeism (32%, 58/184) in a school prompted concern and further investigation. We conducted telephone interviews with parents to ascertain cases and better comprehend parents\' views. We identified 19 cases, of which 13 reported scarlet fever diagnosis by a physician and only seven fulfilled the probable case definition. We concluded that the outbreak was far smaller than suspected and found that communication and reporting could be improved. Accurate information and communication is essential in an outbreak; the school\'s concern could have been alleviated sooner and response measures better targeted.