Pandemic vulnerability knowledge visualisation for strategic decision-making: A COVID-19 index for government response in Australia

Purpose: First, the key vulnerability factors from the literature are identified. Second, using the vulnerability factors as indicators, a composite index is developed. Last, from the index values, a set of vulnerability knowledge maps, showing the vulnerability hotspots, are prepared. Design/methodology/approach: This study aims to develop a pandemic vulnerability knowledge visualisation index to support the strategic decision-making efforts of authorities. Findings: Ten indicators are identified as vulnerability factors that could significantly impact the virus spread risks. Verifying the identified hotspots against the recorded infected cases and deaths has evidenced the usefulness of the index. Determining and visualising the high-vulnerability locations and communities could help in informed strategic decision-making and responses of the authorities to the pandemic. Originality/value: The study demonstrates that the developed pandemic vulnerability knowledge visualisation index is particularly appropriate in the context of Australia. Nonetheless, by replicating the methodologic steps of the study, customised versions can be developed for other country contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

2019-20 coronavirus outbreak in Vietnam socio-ecnomic impact and recommendations

As of April 30, Vietnam has a total of 270 confirmed cases of the SARS-CoV-2 virus and no death, numbers that are significantly low compared to other neighboring countries. Besides, with no new cases reported in the past few days, and 222 cases have recovered. So far, Vietnam, which borders with China, where the COVID-19 originated, has done an excellent job in fighting the outbreak with limited resources compared to wealthy Western countries. In order to prevent further spread, Vietnamese authorities have enforced social distancing, many restaurants and businesses have shuttered, tourists have left, and many residents are out of work. As a result, the Vietnam economy and residents have been primarily affected. In this paper, the author will review how the Vietnamese Government combat the COVID-19 pandemic successfully, manage socio-economic impact as well as support poor people and workers. Lastly, the author will provide recommendations to Vietnam's Government to reduce the impact of coronavirus in tourist field. © 2023 Author(s).

Random forest regression on joint role of meteorological variables, demographic factors, and policy response measures in COVID-19 daily cases: global analysis in different climate zones.

Different sources of factors in environment can affect the spread of COVID-19 by influencing the diffusion of the virus transmission, but the collective influence of which has hardly been considered. This study aimed to utilize a machine learning algorithm to assess the joint effects of meteorological variables, demographic factors, and government response measures on COVID-19 daily cases globally at city level. Random forest regression models showed that population density was the most crucial determinant for COVID-19 transmission, followed by meteorological variables and response measures. Ultraviolet radiation and temperature dominated meteorological factors, but the associations with daily cases varied across different climate zones. Policy response measures have lag effect in containing the epidemic development, and the pandemic was more effectively contained with stricter response measures implemented, but the generalized measures might not be applicable to all climate conditions. This study explored the roles of demographic factors, meteorological variables, and policy response measures in the transmission of COVID-19, and provided evidence for policymakers that the design of appropriate policies for prevention and preparedness of future pandemics should be based on local climate conditions, population characteristics, and social activity characteristics. Future work should focus on discerning the interactions between numerous factors affecting COVID-19 transmission.

Government response to COVID-19 vaccination in Nigeria: identifying key issues over rollout from a public perspective

There are concerns about the COVID-19 vaccine's safety, reliability, and efficacy. Previous studies on vaccine hesitancy focused on public perception and factors influencing behavior but little is known about how government response affects acceptance and distribution efforts. Consequently, the present study is focused on providing answers to the question regarding the challenges induced by the Nigerian governments' response to the COVID-19 vaccine distribution and acceptance process. Utilizing an interpretative phenomenological analysis (IPA), Findings showed that even though there are strategies designed to ensure effective rollout of the COVID-19 vaccines to the target populations, the plans are not well laid out. Corruption risks and facility deficiency are the likely problems that might affect efficient COVID-19 vaccine equitable distribution to the target groups. The findings' practical implications indicate that the Nigerian government and other stakeholders ought to make improvements in a number of areas to enable a successful and equitable distribution of the COVID-19 vaccine. This entails enhancing the online registration process, enhancing communication techniques, tackling corruption threats, assuring a steady supply of electricity, and providing employees with the necessary tools and training. [ FROM AUTHOR] Copyright of African Identities is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Efficiency of government policy during the COVID-19 pandemic.

We introduce country-month indices of efficiency of government policy in dealing with the COVID-19 pandemic. Our indices cover 81 countries and the period from May 2020 to November 2021. Our framework assumes that governments impose stringent policies (listed in the Oxford COVID-19 Containment and Health Index) with the single goal of saving lives. We find that positive and significant correlates of our new indices are institutions, democratic principles, political stability, trust, high public spending in health, female participation in the workplace, and economic equality. Within the efficient jurisdictions, the most efficient ones are those with cultural characteristics of high patience.

Sociodemographic Factors and Adjustment of Daily Activities During the COVID-19 Pandemic - Findings from the SHARE Corona Survey.

In the wake of the COVID-19 pandemic in 2020, older people across Europe have adjusted their daily activities as personal risk avoidance and as an amendment to policy recommendations and restrictions. In this study, we use multilevel logistic regressions to examine to what extent sociodemographic factors are associated with activity reduction among the older population (50+) in Europe and whether these associations are moderated by governmental policy responses to COVID-19. By combining data for~35,000 respondents from the SHARE Corona Survey on reported changes in daily activities and stringency of restrictions at the national level, we find that older age, poorer health and being female versus male were (consistently) associated with greater activity reduction across all activities both in countries with weak and in those with strong restrictions. Associations between education, employment and living situation, on the one hand, and activity reduction, on the other, were weaker and less consistent. We conclude that differences between sociodemographic groups are rather similar for countries with weak and those with strong restrictions and hence argue that group-specific policy recommendation are relevant independent of stringency recommendations.

Understanding citizens' satisfaction with the government response during the COVID-19 pandemic in China: comprehensive analysis of the government hotline

PurposeThe objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures.Design/methodology/approachThe authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction.FindingsThe authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied.Originality/valueDuring the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.

Does a Government Response to COVID-19 Hurt the Stock Price of an Energy Enterprise?

This research examines the shock of a government response to COVID-19 on the stock prices of 30 international energy enterprises spanning from January 1, 2020 to December 31, 2020. Overall, the empirical results denote that a government response stringency index, containment and health index, and economic support index all have a statistically significant negative impact on their stock prices. The negative impact from the containment and health index is especially the greatest, implying that a government's stringent responses have great negative effect on the stock prices of most energy enterprises.

Following the Science: The UK Government's Response to "Herd Immunity” During Early COVID-19

The aim of this chapter is to discuss the importance and impact of scientific advice on the government's response to the COVID-19 pandemic. This is a subject worthy of more than one book, so the topic is confined to the question of "herd immunity” or "mitigation”: a strategy considered in the United Kingdom (UK) during the early appearance of the virus in the first months of 2020. This chapter also considers definitions of science and problems within science itself and how these have impacted considerations of herd immunity during the first months of the pandemic. The relationships between the scientists who have advised the government, the politicians involved, and the impact this has had on the scientific advice given and implemented are discussed, as are the problems regarding the concept of "following the science”. The practise of herd immunity is outlined, as are attitudes to these in the UK in the first quarter of 2020. Finally, the position of science and scientists in relation to the responses to COVID-19 is considered in the broader political and ideological context of 21st century Britain. © 2023 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

The COVID-19 pandemic and the timing of government response: A comparison of four Nordic countries March-June 2020.

OBJECTIVES: The aim is to compare Sweden, Denmark, Finland and Norway regarding government response to the COVID-19 pandemic in mid-March-June 2020 using the Oxford Government Response Tracker. STUDY DESIGN: Descriptive longitudinal ecological study. METHODS: Descriptive analysis of time series data. RESULTS: Sweden displayed a far lower response index in March. By late April indexes were similar. In May-June, response indexes were lower in Finland and Norway than in Sweden. The average response index in mid-March-June was similar in Sweden, Finland and Norway. CONCLUSIONS: The government response in the four countries indicates that timing of response was essential. Sweden's slow and weak initial government response in March-April was followed by less loosening of government response in May-June compared with, especially, Finland and Norway, which resulted in similar average government response in mid-March-June for the three countries. As a comparison, COVID-19 mortality per capita was 10 times higher in Sweden than in Finland and Norway, and five times higher than in Denmark during the same period.

Complexity of Government response to COVID-19 pandemic: a perspective of coupled dynamics on information heterogeneity and epidemic outbreak.

This study aims at modeling the universal failure in preventing the outbreak of COVID-19 via real-world data from the perspective of complexity and network science. Through formalizing information heterogeneity and government intervention in the coupled dynamics of epidemic and infodemic spreading, first, we find that information heterogeneity and its induced variation in human responses significantly increase the complexity of the government intervention decision. The complexity results in a dilemma between the socially optimal intervention that is risky for the government and the privately optimal intervention that is safer for the government but harmful to the social welfare. Second, via counterfactual analysis against the COVID-19 crisis in Wuhan, 2020, we find that the intervention dilemma becomes even worse if the initial decision time and the decision horizon vary. In the short horizon, both socially and privately optimal interventions agree with each other and require blocking the spread of all COVID-19-related information, leading to a negligible infection ratio 30 days after the initial reporting time. However, if the time horizon is prolonged to 180 days, only the privately optimal intervention requires information blocking, which would induce a catastrophically higher infection ratio than that in the counterfactual world where the socially optimal intervention encourages early-stage information spread. These findings contribute to the literature by revealing the complexity incurred by the coupled infodemic-epidemic dynamics and information heterogeneity to the governmental intervention decision, which also sheds insight into the design of an effective early warning system against the epidemic crisis in the future.

Digital Technology Practices and Vaccine Campaign in Korea: International Perceptions on Health Diplomacy amid COVID-19 Crisis

The purpose of this study is two-fold: first, to discuss the concept of health diplomacy and the Korean government's response to contain the COVID-19 pandemic;second, to assess and compare assumptions of variances about foreigners' perceptions of how Korea is leveraging digital technology in battling the coronavirus spread, and its vaccine campaign;through the lenses of Chinese, Filipino, and Pakistani foreign nationals who are currently living in Korea. A total of 219 foreigners responded to the survey. The collected data were analyzed as percentages, mean averages, t-test, and ANOVA for statistical analysis. Results show that Korea is utilizing its digital technology practices and vaccine campaign in battling the pandemic through efforts of health diplomacy. ANOVA indicated significant results and assumptions of variance across three ethnic groups showing the Pakistani population had higher mean scores than the Chinese and Filipino about Korea's health diplomacy during the pandemic. This study contributes to the literature on Korea's digital technology practices and vaccine campaigns amidst the COVID-19 pandemic by promoting its image through health diplomacy efforts. It projects the country's soft image on a global scale, to save the lives of locals and foreign nationals, by providing insights into health diplomacy in Korea. © 2022 World Association for Triple helix and Future strategy studies. All rights reserved.

Can Stringent Government Initiatives Lead to Global Economic Recovery Rapidly during the COVID-19 Epidemic?

This paper investigates the effectiveness of government measures implemented against COVID-19 and the factors influencing a country's economic growth from a global perspective. With the help of the data of the Government Response Stringency Index (GRSI), Google mobility, and confirmed COVID-19 daily cases, we conducted a panel model for 105 countries and regions from 11 March 2020 to 31 June 2021 to explore the effects of response policies in different countries against the pandemic. First, the results showed that staying in residential places had the strongest correlation with confirmed cases. Second, in countries with higher government stringency, stay-at-home policies carried out in the early spread of the pandemic had the most effective the impact. In addition, the results have also been strictly robustly analyzed by applying the propensity score matching (PSM) method. Third, after reconstructing a panel data of 47 OECD countries, we further concluded that governments should take stricter restrictive measures in response to COVID-19. Even though it may also cause a shock to the market in the short term, this may not be sustainable. As long as the policy response is justified, it will moderate the negative effect on the economy over time, and finally have a positive effect.

Stock markets' reaction to COVID-19: the joint impact of uncertainty avoidance culture and government response–evidence from emerging countries

Purpose: The authors examine whether the uncertainty avoidance culture and the stringency of government response play a role in shaping the stock market's response to coronavirus disease 2019 (COVID-19). The authors find that investors' response to the pandemic will not only depend on their instinct of uncertainty aversion but also on their expectation about the effectiveness of the government measures. The uncertainty avoidance culture amplifies the irrational actions of investors. However, harsh government responses will weaken this effect. Harsh government responses also send a negative signal to the market about the extent of the pandemic and the economic damage caused by anti-COVID measures. Governments need to be balanced in imposing anti-COVID measurements to preserve market confidence. Design/methodology/approach: In this article, the authors investigate whether the stock market volatility of emerging countries is simultaneously driven by two factors: the uncertainty-aversion culture of investors in a country and the stringency of the government's response to the pandemic. The authors conduct an empirical study on a sample of 20 emerging countries during the period from January 2020 to March 2021. Findings: The authors find that the national-level uncertainty aversion amplifies the irrational actions of investors during the period of crisis. However, harsh government responses will weaken this effect. The authors' findings show evidence that investors' response to the pandemic will not only depend on their instinct of uncertainty aversion but also on their expectation about the effectiveness of the government measures. Although harsh government responses can stabilize the investors' sentiment in countries with high levels of uncertainty aversion, they also send a negative signal to the market about the extent of the pandemic as well as the economic damage caused by anti-COVID measures. Originality/value: First, the study's results complement evidence from existing studies on the effect of uncertainty avoidance culture in determining stock market responses to COVID-19. Second, an important difference from previous studies, this paper adds to the behavioral finance literature by showing that investors' investment decisions in the face of economic uncertainty are not driven solely by their cultural values but also by their expectation about the effectiveness of the government policy. During a crisis, when the market has neither rational information nor adequate experience to forecast the future, the government must play an important role in stabilizing investors' sentiment and reactions. © 2021, Emerald Publishing Limited.

Intercrisis learning in disaster response network: experience of Korea from MERS and COVID-19

This paper critically reviews whether the hierarchical system or intercrisis learning can be sufficient to understand Korea's COVID-19 responses. Our case study suggests that a Korean response system is a hybrid form that uses a hierarchical structure together with a network approach. To unveil theoretical models of how learning may occur and evolve during a crisis, we employ a policy learning model combining the network perspective and the four Cs model (cognition, communication, coordination, and control). We analyse the change in government manuals, response policies, and agenda streams observed in government documents. This analysis reveals far more complex interactions among actors and policies, both flexible and rigid at different phases of COVID-19. On top of policy learning, we conclude that it is necessary to rediscover the power of citizen voluntary responses and collaboration among actors of the response network through value change.

Black fungus outbreak in India - A direct consequence of COVID-19 surge: A myth or reality.

The deadly second wave of COVID-19 has seen an unprecedented surge in mucormycosis associated mortality in India, overwhelming the heath authorities with challenges beyond measure. Also known as black fungus, this life-threatening fungal infection usually manifests in the nose, spreads to the eyes, and in some cases also to the brain. Immune suppression, pre-existing conditions, prolonged and indiscriminate use of steroids, and unhygienic environments are some of the widely recognized risk factors for contracting black fungus in individuals recovered from COVID-19. However, diagnosis of the infection remains insufficient due to the lack a holistic understanding of the possible risks, symptoms, and exposure pathways and therefore no definite protocol exists for managing this fatal infection. Here, we synthesize the current state of knowledge on black fungus outbreak in India and identify key gaps in its understanding with respect to potential risk factors leading to the widespread infection. We looked at 3354 black fungus cases in India, enlisting ailment history (particularly diabetes) and steroid usage in COVID-19 patients as the key factors responsible for exacerbating risks associated with the disease. However, we also press on the possibilities that other less studied non-traditional risk factors may also have a role in causing the infection. Black fungus is therefore a reality of COVID-19, with or without diabetes or steroid use needs to be investigated. We believe such a review is imperative for making informed decisions specially around timely diagnosis and channelizing efforts in controlling the spread of COVID-19 associated mucormycosis.

Aggressive measures, rising inequalities, and mass formation during the COVID-19 crisis: An overview and proposed way forward.

A series of aggressive restrictive measures were adopted around the world in 2020-2022 to attempt to prevent SARS-CoV-2 from spreading. However, it has become increasingly clear the most aggressive (lockdown) response strategies may involve negative side-effects such as a steep increase in poverty, hunger, and inequalities. Several economic, educational, and health repercussions have fallen disproportionately on children, students, young workers, and especially on groups with pre-existing inequalities such as low-income families, ethnic minorities, and women. This has led to a vicious cycle of rising inequalities and health issues. For example, educational and financial security decreased along with rising unemployment and loss of life purpose. Domestic violence surged due to dysfunctional families being forced to spend more time with each other. In the current narrative and scoping review, we describe macro-dynamics that are taking place because of aggressive public health policies and psychological tactics to influence public behavior, such as mass formation and crowd behavior. Coupled with the effect of inequalities, we describe how these factors can interact toward aggravating ripple effects. In light of evidence regarding the health, economic and social costs, that likely far outweigh potential benefits, the authors suggest that, first, where applicable, aggressive lockdown policies should be reversed and their re-adoption in the future should be avoided. If measures are needed, these should be non-disruptive. Second, it is important to assess dispassionately the damage done by aggressive measures and offer ways to alleviate the burden and long-term effects. Third, the structures in place that have led to counterproductive policies should be assessed and ways should be sought to optimize decision-making, such as counteracting groupthink and increasing the level of reflexivity. Finally, a package of scalable positive psychology interventions is suggested to counteract the damage done and improve humanity's prospects.

Challenges for contactless online food delivery services during the COVID-19 pandemic in Taiwan: Moderating effects of perceived government response.

The COVID-19 pandemic has affected numerous industries worldwide, altered consumer behavior, and increased demand for contactless online food delivery (OFD) services. COVID-19 information from the government may influence the public's information-seeking behavior regarding OFD services. Thus, exploring the relationship between contactless OFD and consumer perceptions of the government response during the pandemic is essential. This paper probed the effects exerted by three behavioral beliefs, namely health consciousness, self-efficacy, and perceived benefits, on consumers' intention and attitude toward contactless online food delivery (OFD) services. This study explored the moderating impact exerted by perceived government response to the COVID-19 pandemic on the relationship between attitude and intention toward OFD services. The study results indicated that self-efficacy and perceived benefits positively influenced the respondents' attitude toward contactless OFD services. Health consciousness negatively influenced their attitude toward these services. The respondents' attitude toward contactless OFD services to be positively related to their behavioral intention toward such services. Perceived government response to COVID-19 moderated the relationship between respondents' attitude and behavioral intention toward contactless OFD services. Based on the study findings, some suggestions are provided for governments, other relevant agencies, and OFD service providers herein.

Unintended consequences of COVID-19 public policy responses on renewable energy power: evidence from OECD countries in the EU.

Since 2020, governments around the world have implemented many types of public policies in response to the outbreak of COVID-19. These dramatic public policies have substantially changed production and consumption activities, thereby temporarily lowering electricity use and greenhouse gas emissions. This study argues that pandemic-induced public policies have unintentionally slowed the transition to renewable energy use in the EU since the decline in greenhouse gas emissions due to the lockdowns helped countries temporarily reduce their total emissions. We employ a fixed-effect model to investigate the effects of different types of COVID-19 public policy responses on electricity production, consumption, and net imports in 12 OECD countries in the EU, and we mainly focus on the share of electricity production from renewable energy sources. Among several public policy responses, stringent lockdown policies, such as workplace closures, stay-at-home requirements, and restrictions on gathering size, have negative and statistically significant impacts on electricity generation and consumption. Furthermore, countries with stringent lockdown policies are more likely to import electricity from other countries to mitigate the electricity shortages in their domestic markets. Importantly, we find that lockdown events have negative and statistically significant effects on the share of renewables in electricity production while increasing the share of fossil fuels in electricity production. In contrast, economic support policies such as income support, debt relief, and economic stimulus programs help reduce the share of fossil fuels in electricity production and decrease the net import of electricity from other countries. Our results indicate that the public policies implemented in response to the outbreak of COVID-19 have mixed effects on the transition to renewable energy sources in the EU, suggesting that the current decline in greenhouse gas emissions comes from the reduction in electricity use due to lockdown events instead of the adoption of renewable energy use and discouraging the transition to renewable energy sources.

The Governments' Use of Social Networking Sites (SNS) to Promote Citizens' Trust During the COVID-19: Perceived Religious Values as a Moderator

Grounded on the social capital theory, the current study examines the direct and indirect association of perceived government response to COVID-19 and the interaction of government representatives on social networking sites with the Public Trust in Government (PTIG) via perceived e-governance effectiveness as a mediator. Moreover, the interactive effect of Perceived Religious Value with Perceived Government Response to COVID-19 and Interaction of Government Representatives on Social Networking Sites was assessed to enhance public trust in government. Two independent studies were performed, and data were evaluated using SmartPLS 3.0 software. Results revealed the significant direct and indirect impact of Perceived Government Response to COVID-19 and Interaction of Government Representatives on Social Networking Sites on Public Trust in Government via Perceived E-governance Effectiveness as a mediator. The results also supported the moderating role of Perceived Religious Value between the Interaction of Government Representatives on Social Networking Sites and Public Trust in Government. Likewise, the findings supported the interactive effect of Perceived Government Response to COVID-19 with Perceived Religious Value to enhance Public Trust in Government. Key policy insights about the government's timely and effective response to COVID-19 and Social Networking Sites used to enhance public trust are highlighted. © 2022.