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The purpose of this study is to examine the effects of the coronavirus disease 2019 (COVID-19) pandemic on sovereign credit default swap (CDS) spreads using a large sample of countries.

In this paper, the authors use a wide set of the sovereign CDS data of 78 countries. To measure the magnitude of the COVID-19 pandemic, the authors use the daily change of confirmed cases collected from Our World in Data. They use panel regressions to estimate the impact of the COVID-19 pandemic on sovereign credit risk.

The authors show how sovereign CDS spreads have widened significantly in response to the COVID-19 pandemic. Based on the most conservative estimate, a 1% increase in COVID-19 infections leads to a 0.17% increase in sovereign CDS spreads. Furthermore, this effect is stronger for developing countries and countries with worse healthcare systems. Government policies partially offset the impact of the COVID-19 pandemic, although these same policies also lead to widening sovereign CDS spreads. Sovereign CDS spreads narrow dramatically several months after the outbreak of the COVID-19 pandemic. Overall, the results suggest that the ongoing COVID-19 pandemic has been a massive shock to the global financial stability.

This paper provides new evidence that COVID-19 widens sovereign CDS spreads. The authors further show that this widening effect is felt most strongly in developing economies.

This paper aims to identify the interaction of different intervention strategies implemented in Malaysia towards flattening the curve of COVID-19 cases. Since the outbreak of COVID-19, many approaches were adopted and implemented by the Malaysian government. Some strategies gained quick wins but with negative unintended consequences after execution, whereas other strategies were slow to take effect. Learning from the previous strategies is pivotal to avoid repeating mistakes.

This paper presents the cause, effect of and connection among the implemented COVID-19 intervention strategies using systems thinking through the development of a causal loop diagram. It enables the visualisation of how each implemented strategy interacted with each other and collectively decreased or increased the spread of COVID-19.

The results of this study suggested that it is not only essential to control the spread of COVID-19, but also to prevent the transmission of the virus. The Malaysian experience has demonstrated that both control and preventive strategies need to be in a state of equilibrium. Focusing only on one spectrum will throw off the balance, leaving COVID-19 infection to escalate rapidly.

The developed feedback loops provided policy makers with the understanding of the merits, pitfalls and dynamics of prior implemented intervention strategies before devising other effective intervention strategies to defuse the spread of COVID-19 and prepare the nation for recovery.

The purpose of this paper is to investigate the social media application and the spread of COVID-19 infodemic in Nigeria.

A descriptive survey research design was used for this study. A total of 1,200 social media users, regardless of their professions, were randomly selected for the study betweenmid-June and July 2020. Stratified and purposive sampling techniques were used for this study. The questionnaire was designed using Google form and administered using WhatsApp and Telegram to social media users above 18 years old in Nigeria. The data generated was analyzed using descriptive (frequency count) and inferential (mean) statistics, and was presented in tables.

It was found that people make use of social media during COVID-19 pandemic for diverse reasons such as listening to announcement to be informed, knowing the necessary measures to take by those infected and spreading up-to-date information on the pandemic. Social media tools were highly used during the COVID-19 pandemic, especially WhatsApp and Zoom. Findings reflected that misinformation was spread on social media. This study also showed that the infodemic associated with COVID-19 is managed by confirming the source of the information before sharing it and trusting information from reliable sources.

The result of this research will contribute to the body of knowledge on social media application, fake news and the spread of COVID-19 infodemic in Nigeria and beyond.

Infodemic is a disaster in the health sector. The spread of infodemic is capable of misleading people, losing trust in government, health providers and health regulatory authorities. This study will help social media users to know how to properly manage social media infodemic during a pandemic or any health-related situations.

This study is novel as it approaches fake news from a COVID-19 perspective. Very few articles emanate from the developing countries in this area. This was because most of the narrative around fake news previously centered around the Western occurrences such as the Iraqi invasion by the USA, the US presidential elections and BREXIT. COVID-19 has demonstrated that the developing world is not immune from fake news as well. This study, therefore, assessed the management of infodemic associated with COVID-19 in Nigeria.

This paper aims to investigate the impacts of rumors' information characteristics on people's believing and spreading of rumors online.

This study employed a mixed-methods approach by combining qualitative and quantitative methods. In study 1, the authors explored different types of rumors and their information source characteristics through qualitative research. In study 2, the authors utilized the findings from study 1 to develop an empirical model to verify the impact of these characteristics on the public's behaviors of believing and spreading rumors by content analysis and quantitative research.

The results show that five information source characteristics – credibility, professionalism, attractiveness, mystery and concreteness – influence the spreading effect of different types of rumors.

This study contributes to rumor spreading research by deepening the theory of information source characteristics and adding to the emerging literature on the COVID-19 pandemic.

Insights from this research offer important practical implications for policymakers and online-platform operators by highlighting how to suppress the spread of rumors, particularly those associated with COVID-19.

This research introduces the theory of information source characteristics into the field of rumor spreading and adopts a mixed-methods approach, taking COVID-19 rumors as a typical case, which provides a unique perspective for a deeper understanding of rumor spreading's antecedences.

The present study examines the knowledge, attitude and practice towards the reduction of COVID-19 spread among entrepreneurs of the Federal Urdu University of Arts, Sciences and Technology (FUUAST), Karachi Pakistan.

The authors employed cross-sectional data to infer the results. The data are collected through an online survey questionnaire. To target the respondents; a convenience sampling technique is adopted. In total, 222 usable answers proceed with final results. The structural equation model (SEM) is applied for the data analysis.

The study outcomes found a significant and positive role of knowledge about COVID-19, attitudes towards a stay at home and practices against COVID-19 in reducing the spread of the pandemic.

The study provides coherent knowledge about the factors that fight against the pandemic's further spread. The findings would provide the guidelines to policymakers to think about such factors and boost them enormously. Further, the results would contribute to the literature of COVID-19.

This study is original, which empirically confirmed the effect of knowledge about COVID-19, attitudes towards a stay at home and practices against COVID-19 in an academic institute.

The continuous spread of the corona virus disease 2019 (COVID-19) pandemic has generated public health concern with avalanche of information accompanied by series of fake news. Thus, this study examined the effect of Information Literacy Competency (ILC) in curtailing the spread of fake news among Library and Information Science (LIS) undergraduates in Nigeria.

Survey research design of the descriptive type was used to generate data from a group of LIS undergraduates online. The population of the study consisted of 138 LIS undergraduate students who participated in the survey (thus, n = 138). The data retrieved was subjected to descriptive analysis.

The study revealed that the students had high level of ILC (x ¯ = 3.42), and there was low prevalence level of COVID-19 pandemic fake news (x ¯ = 2.35) among them. The major causes of COVID-19 fake news were too much information in circulation concerning COVID-19 (x ¯ = 3.44) and the resultant inability to discern or spot fake news from verified and authentic news (x ¯ = 3.28). The study also revealed that ILC had a significant effect in curtailing the spread of COVID-19 fake news with a grand mean of 3.28 against the criterion mean of 2.5. It is implied that LIS undergraduates are educationally position to acquire ILC which is crucial to their identification of fake news and helps to curtail its spread.

The study is limited in its use of online group for data elicitation within a limited period of three weeks. Also, in its adoption of self-evaluation scale to measure ILC instead of standard information literacy test. Also, the high chances of social desirability bias in sections C and E serve as a limitation to the study.

The study reinforces the need to enhance structures that flags fake news on social media platforms and integrating IL into schools’ curriculum at all levels.

This study seeks to pioneer a new area of focus on the relevance of ILC to different global issues that concern the health and well-being.

This study aims to examine the relationship between the duration (in days) of states’ shelter-in-place orders; state demographic characteristics; and the rates of spread (cases), death (mortality), and recovery of COVID-19 in the USA.

State-level data across 50 states and Washington D.C. from January 23, 2020, to June 11, 2020, and a multivariate regression analysis were used to empirically investigate the impacts of the duration of shelter-in-place orders and state demographic characteristics on the rates of cases, mortality and recovery per capita of COVID-19.

This study finds that a longer duration of a shelter-in-place order is associated with lower cases and deaths per capita from COVID-19. This study also finds that demographic characteristics, such as the percentage of people who are unsheltered homeless, family size, percentage of individuals with health insurance, income inequality, unemployment rate, gender and race, are related to cases, mortality and recovery rates of COVID-19.

This study offers policy implications for state and locality (e.g., city, region and country) lockdown decisions and salient demographics to consider curbing the spread and mortality rate of the COVID-19 pandemic. Study results are important to consider as the world braces for the anticipated resurgence of COVID-19.

This study reveals that the duration of shelter-in-place orders and demographics in states are related to the rates of spread, mortality, and recovery of COVID-19.

In recent years, the social impact of misinformation has intensified. The purpose of this study is to clarify the mechanism by which misinformation spreads in society.

Testing the following two hypotheses by a logit model analysis of survey data using actual fact-checked COVID-19 vaccine and political misinformation: people who believe that some misinformation is true are more likely to spread it than those who do not believe in its truthfulness; people with lower media and information literacy are more likely to spread misinformation than people with higher media and information literacy.

The two hypotheses are supported, and the trend was generally robust regardless of the method, whether the means of diffusion was social media or direct conversation.

The authors derived the following four implications from the results: governments need to further promote media information literacy education; platform service providers should consider mechanisms to facilitate the spread and display of posts by people who are aware of misinformation; fact-checking should be further promoted; people should acquire information based on the assumption that people who believe in some misinformation tend to spread it more.

First, it quantitatively clarifies the relationship between misinformation, true/false judgements and dissemination behaviour. Second, it quantitatively clarifies the relationship between literacy and misinformation dissemination behaviour. Third, it conducts a comprehensive analysis of diffusion behaviours, including those outside of social media.

This paper investigates nonlinearities in the relationship between mobility and COVID-19 cases or deaths based on demographic or socioeconomic characteristics, with a special focus on income and poverty.

The formal analysis is achieved by using county-level daily data from the US, where a difference-in-difference design is employed. Nonlinearities in the relationship between mobility and COVID-19 cases or deaths are investigated by regressing weekly percentage changes in COVID-19 cases or deaths on mobility measures, where county fixed effects and daily fixed effects are controlled for. The main innovation is achieved by distinguishing between the coefficients in front of mobility measures across US counties based on their demographic or socioeconomic characteristics.

The results suggest that the positive effects of mobility on COVID-19 cases increase with poverty, per capita income, commuting time or population, whereas they decrease with health insurance or grandparents responsible for grandchildren.

Important policy implications follow regarding where mobility restrictions would work better to fight against COVID-19 through targeted lockdowns.

The purpose of this paper is to investigate the impact of civil liberties, global health security, median age and population size on the spread of COVID-19 across the globe.

This study was done by taking data from 166 different countries from the Economist Intelligence Unit, European Centre for Disease Prevention and Control, World Bank, Johns Hopkins University and United Nations Population Division (UNPD). After conducting all the necessary standard econometric tests, the study was analyzed using the ordinary least squares (OLS) regression.

The finding of the study indicated that COVID-19 tests per million people (LTT/PM), Population Size (LPOP), Civil Liberty Index (CLI) are statistically significant and positively affect the number of confirmed COVID-19 cases; on the other hand, the Health Security Index (HSI) negatively affects the number of confirmed COVID-19 cases.

In emergency circumstances, the government ought to have a special responsibility to align civil rights with the protection of public health cautiously. However, measures to restrict civil liberties must be proportionate.

Besides other variables, the study included and considered civil liberties as a significant factor to affect the spread of COVID-19, which is a new contribution to the existing body of knowledge in the field.