Global Responses to the COVID-19 Pandemic

Public Organization Review -     

Perceived risk,emotions, and stress in response to COVID-19: The interplay of media use and partisanship

Relationships between risk perceptions, emotions, and stress are well-documented, as are interconnections between stress, emotion, and media use. During the early COVID-19 pandemic, the public responded psychologically to the threat posed by the pandemic, and frequently utilized media for information and entertainment. However, we lack a comprehensive picture of how perceived risk, emotion, stress, and media affected each other longitudinally during this time. Further, although response to the pandemic was highly politicized, research has yet to address how partisan affiliation moderated relationships between risk, emotion, stress, and media use over time. This three-wave (N = 1021) panel study assessed the interplay of risk, emotion, stress, and media use for Americans with different political affiliations between March and May of 2020. Findings indicate that perceived risk, emotion, and stress at Time 1 predicted media use at Time 2, with predictors varying by type of media. Use of entertainment media and social/mobile media predicted later stress (Time 3), but news consumption did not. Later risk perceptions (Time 3) were not influenced by media use at Time 2. The predictors and consequences of different types of media use were notably different for Republicans and Democrats. In particular, risk perceptions predicted greater news use among Democrats but greater entertainment media use among Republicans. Moreover, social/mobile media use resulted in perceiving the risks of COVID-19 as less serious for Republicans while increasing stress over time for Democrats.     

SEIR Model to address the impact of face masks amid COVID-19 pandemic

Early in the pandemic of coronavirus disease 2019 (COVID-19), face masks were used extensively by the general public in several Asian countries. The lower transmission rate of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Asian countries compared with Western countries suggested that the wider community use of face masks has the potential to decrease transmission of SARS-CoV-2. A risk assessment model named Susceptible, Exposed, Infectious, Recovered (SEIR) model is used to quantitatively evaluate the potential impact of community face masks on SARS-CoV-2 reproduction number (R₀) and peak number of infectious persons. For a simulated population of one million, the model showed a reduction in R₀ of 49% and 50% when 60% and 80% of the population wore masks, respectively. Moreover, we present a modified model that considers the effect of mask-wearing after community vaccination. Interestingly mask-wearing still provided a considerable benefit in lowering the number of infectious individuals. The results of this research are expected to help public health officials in making prompt decisions involving resource allocation and crafting legislation.     

Responding to discontinuities in product-based service supply chains in the COVID-19 pandemic: Towards transilience

PurposeIn this study, we identify and characterise how organisations have responded, in ways ranging from restoration to radical change, to discontinuities in their product-based service (PBS) supply chains during the COVID-19 pandemic.Design/methodology/approachFollowing a theoretical approach that integrates transilience and panarchy theory as a response strategy in PBS supply chains, our qualitative study involved collecting data through 19 semi-structured interviews at six manufacturing firms during the first 6 months of the COVID-19 pandemic (i.e., March to August 2020) and triangulating the findings with the secondary data and that from an industry workshop. Following an inductive approach, we performed thematic data analysis in Nvivo software package.FindingsThe findings suggest characterising discontinuities in PBS supply chains as unmanageable external supply-side, demand-side or interactional discontinuities or other manageable deliberate or forced organisational discontinuities. Following that characterisation, we developed a conceptual framework combing both resilience and transformation into new service opportunities.Research limitations/implicationsWe gained insights into the first-response abilities and ways of coping among manufacturing firms during the COVID-19 pandemic. Though our findings capture a contemporary, eye-of-the-storm perspective on future directions, a longitudinal study on the pandemic could further validate and extend the modes of response that complement mitigation with the ability to accelerate change or innovation of internal process or external service offerings.Originality/valueCombining current literature with lessons learned from the firms' immediate responses, this paper's overview and characterisation of discontinuities following the COVID-19 outbreak in PBS supply chains demonstrate how manufacturing firms can foster transilience. As such, it integrates product-based supply chain discontinuities into the domain of service-based supply chains.     

Analyzing factors contributing to COVID-19 mortality in the United States using artificial intelligence techniques

Having started since late 2019, COVID-19 has spread through far many nations around the globe. Not being known profoundly, the novel virus of the Coronaviruses family has already caused more than half a million deaths and put the lives of many more people in danger. Policymakers have implemented preventive measures to curb the outbreak of the virus, and health practitioners along with epidemiologists have pointed out many social and hygienic factors associated with the virus incidence and mortality. However, a clearer vision of how the various factors cited hitherto can affect total death in different communities is yet to be analyzed. This study has put this issue forward. Applying artificial intelligence techniques, the relationship between COVID-19 death toll and determinants mentioned as strongly influential in earlier studies was investigated. In the first stage, employing Best-Worst Method, the weight of the primer contributing factor, effectiveness of strategies, was estimated. Then, using an integrated Best-Worst Method–local linear neuro-fuzzy–adaptive neuro-fuzzy inference system approach, the relationship between COVID-19 mortality rate and all factors namely effectiveness of strategies, age pyramid, health system status, and community health status was elucidated more specifically.     

Assessing Priorities of Transparency During COVID-19 Pandemic in Brazil

Public Organization Review - This article assesses the level of transparency of epidemiological and financial budgetary information on the COVID-19 pandemic in Brazilian state governments and the...     

Consideration of the Aerosol Transmission for COVID-19 and Public Health

This article analyzes the available evidence to address airborne, aerosol transmission of the SARS-CoV-2. We review and present three lines of evidence: case reports of transmission for asymptomatic individuals in association with studies that show that normal breathing and talking produce predominantly small droplets of the size that are subject to aerosol transport; limited empirical data that have recorded aerosolized SARS-CoV-2 particles that remain suspended in the air for hours and are subject to transport over distances including outside of rooms and intrabuilding, and the broader literature that further supports the importance of aerosol transmission of infectious diseases. The weight of the available evidence warrants immediate attention to address the significance of aerosols and implications for public health protection.     

The role of national HRD in an era of COVID-19

ABSTRACT

COVID-19 has revealed the many ways in which processes across the globe have failed us. If NHRD were in place globally, many of these issues should not have occurred. This has especially been the case in the U.S. The country with the most highly developed NHRD, South Korea, has had among the greatest success in fighting the virus. In this article, I will explore many of these issues at the micro, meso, macro, and cross-country perspectives in which NHRD can improve on the failed processes and prepare for the next pandemic, whenever it occurs.     

The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak

The lockdowns of several countries due to COVID-19 outbreak resulted in severe economic consequences, among which was the immediate general disruption of the international supply chain, with few exceptions. This article aims to investigate whether some supply chains were resilient or not and why, using a knowledge-based approach and specifically focusing on the role played by supply chain innovation in building resilience to disruptions, thanks to knowledge preparedness. The study is motivated by two main rationales: the unique situation of a global pandemic and the absence of studies providing grounded evidences of supply chain resilience in a worst-case scenario.The research is based on the assumption that knowledge preparedness introduces logistics/supply chain innovations and enables companies to prevent, detect, and respond to unpredictable negative events.By using a large-scale sample of European firms' data from the Eurostat and a multivariate regression analysis, the authors cross-study the effects of supply chain knowledge preparedness – based on innovation type and expenditures – on the international trade of goods from January to June 2020. The results confirm that the most resilient supply chains were those that had previously introduced innovations, a factor that strengthens the knowledge preparedness of firms when faced with unforeseeable supply chain disruptions.     

Embedding Expertise for Policy Responses to COVID-19: Comparing Decision-Making Structures in Two Federal Democracies

Public Organization Review - The COVID-19 crisis focused attention on how experts from different scientific fields provided advice to governments through expert committees and task forces. We...     

COVID-19疫情下一种新的地铁平峰运营策略

地铁在城市交通中发挥着重要作用。然而,在新冠肺炎(COVID-19)疫情下,地铁的运营出现了包括消毒、限流及出行独立等多重约束。错峰出行成为了众多城市地铁运营过程中的必然选择。如何既满足居民的基本出行需求,为顺利实现复工复学提供交通支持,又能有效降低乘客感染病毒的风险与追踪密切接触者的成本成为了城市地铁运营的新目标。本文通过对北京地铁运营现状及居民的出行规律分析发现,在新型冠状病毒疫情下,地铁运营过程中存在出行需求与地铁运力不匹配,复工复产与疫情防控,乘客交叉出行数量过多等难题,并针对以上难题提出了分时段复工出行与周末可复工在内的复杂指派模型。这一指派模型不仅实现了城市关键地铁站点平峰人流量、降低疫情传播风险及追踪难度的目标,同时通过模型目标函数与约束条件的灵活修改可实现更为复杂的乘坐地铁复工复产目标。本文所提出的模型在复杂周期性平峰问题中具有较强的推广应用价值。     

The Role of Scientific Expertise in COVID-19 Policy-making: Evidence from Four European Countries

Public Organization Review - Immense uncertainty and the need for drastic interventions cause politicians to rely heavily on scientific advice for underpinning or legitimating their COVID-19...     

Investment Areas to Enhance Public Employee Resilience during the Coronavirus Disease 2019 (COVID-19): Evidence from Iran

Public Organization Review - This study aims to investigate the areas of investment that the human resources management of the Iranian public sector has invested in for improving employees'...     

Ethical leadership supports safety voice by increasing risk perception and reducing ethical ambiguity: Evidence from the COVID-19 pandemic

Misconduct by business and political leaders during the pandemic is feared to have impacted people's adherence to protective measures that would help to safeguard against the spread of COVID-19. Addressing this concern, this article theorizes and tests a model linking ethical leadership with workplace risk communication—a practice referred to as ‘safety voice’ in the research literature. Our study, conducted with 511 employees from UK companies, revealed that ethical leadership is positively associated with greater intention to engage in safety voice regarding COVID-19. We also find that this association is mediated by relations with the perceived health risk of COVID-19 and ambiguity about ethical decision making in the workplace. These findings therefore underscore the importance of good ethical conduct by leaders for ensuring that health and safety risks are well understood and communicated effectively by organizational members particularly during crises. We discuss the theoretical and practical implications of our study and highlight further opportunities for future research to address the ethical dimensions of leadership, risk management, and organizational risk communication.     

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

COVID-19 has caused a critical health concern and severe economic crisis worldwide. With multiple variants, the epidemic has triggered waves of mass transmission for nearly 3 years. In order to coordinate epidemic control and economic development, it is important to support decision-making on precautions or prevention measures based on the risk analysis for different countries. This study proposes a national risk analysis model (NRAM) combining Bayesian network (BN) with other methods. The model is built and applied through three steps. (1) The key factors affecting the epidemic spreading are identified to form the nodes of BN. Then, each node can be assigned state values after data collection and analysis. (2) The model (NRAM) will be built through the determination of the structure and parameters of the network based on some integrated methods. (3) The model will be applied to scenario deduction and sensitivity analysis to support decision-making in the context of COVID-19. Through the comparison with other models, NRAM shows better performance in the assessment of spreading risk at different countries. Moreover, the model reveals that the higher education level and stricter government measures can achieve better epidemic prevention and control effects. This study provides a new insight into the prevention and control of COVID-19 at the national level.     

How makers responded to the Personal Protective Equipment shortage during the COVID-19 pandemic: An analysis focused on the Hauts-de-France region

The COVID-19 pandemic saw makers mobilize around the world to address a shortage of medical equipment. Our research focuses on a group of makers organized in the Hauts-de-France region. Combining interviews with tool-based and hybrid method (quantitative/qualitative), we analyzed the collaborative messaging room used to coordinate the production of face shields. That field work enabled us to update the profile of the participants, the intensity of their contribution, the nature of the innovation implemented, the coordination mechanisms, and the associated difficulties. We identified different makers' profiles given their backgrounds, expertise, and network. We evaluated the type of collaboration they developed with the local public and private actors through an online platform, and how technology facilitated the interactions and circulation of information despite the confinement. We evaluated the level of performance from the point of view of an organization, knowledge transfer, and invention. It reveals how these practices can successfully evolve from resilience to innovation. We discuss the potential of exploiting the makers’ open source practices in collaborative and innovative territory dynamics with an interest in sharing the knowledge commons.     

责任式创新的多主体演化博弈研究——以新冠疫苗研发为例

责任式创新需要多主体的共同参与,探索企业、消费者、政府等多主体的演化博弈规律,对于推动以新冠疫苗研发为典型代表的责任式创新具有重要意义。本文以新冠疫苗研发为例,构建了企业、消费者和政府三方在实施责任式创新行为中的演化博弈模型,并通过MATLAB进行数值模拟。结果表明,在责任式创新过程中,三方最终的演化稳定策略是企业实施责任式创新、公众参与责任式创新,但政府弱干预(消极提倡)责任式创新;企业的收益和成本、政府补贴均影响企业和消费者的演化结果,而对政府决策影响较小;利益相关者的初始状态对三方演化收敛速度有显著影响。     

Three dimensions of COVID-19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis

Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID-19 over time. Our current understandings of risk perceptions regarding COVID-19 do not disentangle the three dimensions of risk perceptions (perceived susceptibility, perceived severity, and negative emotion) as the pandemic has evolved. Data are also limited regarding the impact of social determinants of health (SDOH) on COVID-19-related risk perceptions over time. To address these knowledge gaps, we extracted tweets regarding COVID-19-related risk perceptions and developed indicators for the three dimensions of risk perceptions based on over 502 million geotagged tweets posted by over 4.9 million Twitter users from January 2020 to December 2021 in the United States. We examined correlations between risk perception indicator scores and county-level SDOH. The three dimensions of risk perceptions demonstrate different trajectories. Perceived severity maintained a high level throughout the study period. Perceived susceptibility and negative emotion peaked on March 11, 2020 (COVID-19 declared global pandemic by WHO) and then declined and remained stable at lower levels until increasing once again with the Omicron period. Relative frequency of tweet posts on risk perceptions did not closely follow epidemic trends of COVID-19 (cases, deaths). Users from socioeconomically vulnerable counties showed lower attention to perceived severity and susceptibility of COVID-19 than those from wealthier counties. Examining trends in tweets regarding the multiple dimensions of risk perceptions throughout the COVID-19 pandemic can help policymakers frame in-time, tailored, and appropriate responses to prevent viral spread and encourage preventive behavior uptake in the United States.     

新冠肺炎疫情下公众数字化贡献行为研究——以短视频社交平台为例

新冠肺炎疫情在全球范围内造成了巨大的动荡和冲击,后疫情时代,人们开始反思如何利用数字韧性应对疫情及其他突发重大公共事件,其中,理解公众在数字韧性赋能中的行为变化成为重要问题。针对短视频社交平台如何赋能公众应对新冠肺炎疫情带来的外界物理环境改变,具体探究公众数字化贡献行为,即基于动机理论的内外部视角,探究新冠肺炎疫情背景下非职业内容创作者短视频贡献行为的变化情况。利用新冠肺炎疫情这一典型的外生冲击构建自然实验,运用双重差分法识别短视频平台兴趣型用户为应对新冠肺炎疫情带来的物理环境变化其内容贡献行为的变化情况,分析地区医疗水平和是否节假日的调节效应。采用平行趋势检验和安慰剂检验等验证结果的稳健性。研究结果表明,新冠肺炎疫情暴发后,非职业内容创作者的短视频贡献行为显著增强。利用动态时间效应分析发现这种增强效应呈现出显著的中期效应,但不具备短期效应和长期效应。低地区医疗水平会强化新冠肺炎疫情背景下非职业内容创作者短视频贡献行为的增强效果,而在高地区医疗水平下短视频贡献行为无显著变化;在非节假日时,非职业内容创作者的短视频贡献行为的积极增长效应更强,而在节假日时其短视频贡献行为变化并不显著。研究...