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Quantitative geographical methods have played an important role in COVID-19 research. To complement and extend previous review studies, we conduct a scoping review of COVID-19 studies employing quantitative geographical approaches by focusing on 331 papers published in 45 journals in geography, urban studies, and planning. We identify four major research themes (clusters): (1) how SARS-CoV-2 viruses spread in cities, (2) the COVID-19 mortality (death) rates and their association with socioeconomic variables, (3) how the COVID-19 pandemic changed people's mobilities, and (4) how the COVID-19 pandemic affects air pollution. We conclude that spatial models play a key role in COVID-19 quantitative geographical approaches, and human mobility is an important and widely studied topic. We also reveal a lack of research focusing on environmental pollution (other than air pollution) that potentially worsened during the pandemic. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has changed life in Europe and globally. The pandemic affects both individuals and the broader society across many domains, including physical and psychological health, the economy and general welfare. The measures taken to counteract the pandemic have significantly altered daily life and, along with the threat of contracting the coronavirus and uncertainties surrounding future developments, created a complex system of stressors with a negative impact on public mental health. This paper aims to outline the ESTSS strategy to address mental health issues related to COVID-19 and focuses on (1) trauma-informed policies, (2) capacity building, (3) collaborative research and (4) knowledge-exchange. To facilitate implementation of a trauma-informed approach and appropriate measures, ESTSS has developed a toolkit of recommendations on mental health and psychosocial assistance to be provided during the different phases of crisis and its aftermath. To promote capacity building, ESTSS offers a certification programme based on a curriculum in psychotraumatology and corresponding on-line training to the European community of mental health professionals. To assure evidence-based approaches and methods tailored to current circumstances, ESTSS has initiated a pan-European research project with international cooperation aimed at studying the mental health consequences of the pandemic, with a focus on psychological trauma and other stress-related reactions. To foster knowledge-exchange, the European Journal of Psychotraumatology (EJPT), the official journal of ESTSS, is publishing a special issue on COVID-19. [ABSTRACT FROM AUTHOR]

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19- related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC’s work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that ‘mortality’, ‘intensive care units’, ‘chronic kidney disease’, ‘nephrology’, ‘renal transplantation’, ‘acute respiratory distress syndrome’, and ‘risk factors’ emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment. [ABSTRACT FROM AUTHOR]

Japan famously muddled through the 2020 Summer Olympics – triumphant as a host in that the Games were held, after a year-long delay, despite the global COVID-19 pandemic that had threatened to shutter the event entirely. The successes were qualified, with spectator-less matches and races leading to eerily quiet medals ceremonies, at least compared with normal years of cheering fans, enthusiasts, and tourists. Nowhere was the strangeness of the event more apparent than in the Opening Ceremony, filled with a combination of subdued but technologically adept spectacle, artistic representations of grief and loss, and the an unnervingly empty Olympic Stadium. This paper examines the politics of the Ceremony, and in particular the apparent early plans for a more standard, lightly nationalistic display of local history and culture, and toward a set of acknowledgments of a global crisis that transcended borders. In doing so, it calls attention to the complex political goals on display, as well as the challenges of benefiting politically from an event whose meaning in the midst of loss had been called broadly into question. Drawing from political science and literary theory, the paper emphasizes that while spectacle can matter, it risks, a dense environment of media reflection, being seen as little more than a gimmick. [ABSTRACT FROM AUTHOR]

This paper investigates trade firms’ dynamics in the Via Padova neighbourhood at the end of 2020. The COVID-19 pandemic has stressed local economies and it has resulted in economic downturns, income inequalities and increased unemployment. While the current literature analyses widely its impacts on international trade, little attention has been given to the resilience of trade firms at the urban level. The containment measures to limit the pandemic have caused temporary closings of non-essential goods firms, while forcing other firms offering essential goods to stay open, albeit the many difficulties encountered. Since the Via Padova neighbourhood has one of the highest densities of trade firms in Milan, this makes it an interesting study area to test the effects associated with the containment measures. Exploring the data about trade firms’ survival rates related to the period 2019–20 demonstrates a certain resilience of local firms. The number of firms closing down decreases in 2020, while the variation in the active ones tends to become insignificant compared with the previous year. The negative effects on non-essential goods firms persist during the first wave of the pandemic, whereas during the second wave essential goods firms are especially affected. These dynamics of resilience towards hostile economic and social conditions caused by the pandemic are a useful clue for reconsidering and developing new recovery policies. [ABSTRACT FROM AUTHOR]

Unrealistic optimism bias appears when a person perceives oneself – in comparison to peers – as less at risk from threats. This bias has been widely reported and the consequences are clear: it puts one's health in danger. The existing body of literature proposes egocentrism as a mechanism leading to a reduction in this bias. The present paper tests a novel mechanism orienting a person toward others – thus linked with egocentrism – i.e., mimicry. Results showed directly opposing effects: mimicry induced a stronger tendency to perceive oneself as less threatened. This result is not only surprising but especially alarming since mimicry may be used in patient-doctor dialogue which may backfire, leading to resistance to medical recommendations provided by the doctor. [ABSTRACT FROM AUTHOR]

The Indonesian government has issued hundreds of regulations and policies to deal with the impact of the COVID-19 pandemic. These various policies and regulations assess how a government responds, mitigates, and prevents systemic crises in its country. These decisions- and policy-making processes are largely determined by the country's unique socioeconomic and political landscape. This paper reviewed 875 regulations issued by the Indonesian government at the national level in 2020–2022 to determine which policies have the most direct social, economic, and health impact on the Indonesian population. We highlight social protection to explore the challenges and opportunities to respond future risk by taking benefit from progressive effort of the Indonesian government to protect all Indonesian populations with the priority of the most vulnerable groups. This paper aims to map out government policies and regulations in handling the pandemic and exploring the potential opportunities for adaptation to respond future risk. The study is based on expert group discussion and policy mapping. As one of the findings of the investigation, this paper discusses the interaction between large-scale and micro-scale social restriction and social protection policies, which are considered the foremost solutions for handling Indonesia's more severe economic crisis and facing current and future risks, including climate change impact. While social protection is one of the massive strategies to relieve economic impact to the most affected group, effectiveness and success are still challenges concerning data. This paper also provides important notes regarding climate change adaptation and how the government must respond to future risks. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic led to unprecedented 'lockdowns' and stay-at-home orders to prevent the spread of infection. Social scientists have analysed mobility during these lockdowns to understand compliance at a population-level, and whether there were systematic barriers to compliance for certain population groups. Much of this analysis has used mobility data from private companies, gathered via smartphones. In this paper, we consider an unexplored source of such data - urban management administrative data - and demonstrate its usefulness for understanding mobility, and what these patterns might reveal about socio-spatial inequality and local economic activity and suggest greater imagination when analysing such data. [ABSTRACT FROM AUTHOR]

During the COVID-19 outbreak – a paradigmatic global health challenge – multiple African countries, including Tanzania, mobilised indigenous forms of healing as both preventive and curative measures to curb the pandemic. However, despite this effort to curtail the crisis, the place of indigenous medical knowledge in decolonising global health interventions remains unexamined. Drawing on ethnographic fieldwork in Tanzania, as well as political speeches and newspaper sources, this paper examines how the government, under the late President John Pombe Magufuli, responded to the COVID-19 pandemic. The paper demonstrates that the late Magufuli’s approach to the pandemic, and especially the mobilisation of local practices of self-care like steaming with nyungu, stirred debates on decolonising global health and the role of African traditional medicines in the COVID-19 pandemic response. Building on scholarship regarding the efforts to promote indigenous healing knowledge in postcolonial states in Africa, I argue that colonial history and postcolonial political positionings towards this history were the ‘cause’ for Magufuli’s resistance towards global health interventions of COVID-19 in Tanzania. This draws our attention to the possibility of new thinking when it comes to how global health, colonialism, national politics, and local practices of self-care like nyungu, interact with one another in contemporary Tanzania. [ABSTRACT FROM AUTHOR]

The end of a pandemic is as much a political act as biological reality. It is over not simply when case counts or deaths are reduced to some objectively determined acceptable level but also when, and if, the public accepts the stories that politicians and health officials tell about it. This paper has three aims. First, to develop the concept of a pandemic illness narrative – a public narrative that makes the experience of an outbreak meaningful to a community of people and explains when it will be finished. Using the case of the United States, the paper then examines how American state organisations and public health officials tried to disseminate a version of the 'restitution illness narrative' to make sense out of the COVID-19 pandemic and explain how it would ultimately end. Lastly, the paper describes the factors that made this narrative ultimately implausible to the American public. As most Americans are now seemingly indifferent about the pandemic, it has ended in the United States without ever actually being narratively concluded. [ABSTRACT FROM AUTHOR]

Whether digital finance should be included in the quantitative framework of monetary policy in emerging market countries has been widely discussed by scholars. However, the current research just focused on a single format of digital finance, lacking comprehensive analysis at the overall level and the refinement of general rules. Therefore, this paper constructed a spatial econometric model to empirically analyze the impact of digital finance on the effectiveness of monetary policy and its heterogeneity, taking China as the representative of emerging market countries. The empirical test showed that (1) Although the total index of digital finance had a negative impact on economic growth, the interaction between digital finance and monetary policy was significantly positive. This indicated that the "moderating effect" of monetary policy was beneficial to digital finance in promoting economic growth, which was confirmed from the subindexes level as well. (2) The development of digital finance had obvious characteristics of the "polarization effect" and the "spatial spillover effect". Meanwhile, there was a significant regional difference in the "moderating effect" of monetary policy. (3) In terms of control variables, consumption level, fixed capital formation level, and fiscal policy all had a significant positive impact on economic growth, with a positive "spatial spillover effect". Whereas, the impacts of COVID-19 and export level on economic growth were both negative. Hence, coping with the challenges of COVID-19 and revitalizing exports were important breakthroughs for emerging market countries to recover the domestic economy. Finally, based on the empirical conclusions, this paper proposed three suggestions. First, monetary policy should be strengthened to intervene in the development of digital finance. Second, digital financial development should be integrated into the quantitative framework of monetary policy. Third, it is essential to build a "double pillar" policy framework to compensate for the shortage of monetary policy. [ABSTRACT FROM AUTHOR]

Background: This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs). Methods: This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period between 18 February 2020 and 08 February 2021. The paper identifies three major stages of the COVID-19 epidemic, conducts multi-stage estimations of the SEIR(D) model parameters, and carefully infers context-dependent meaning of the estimation results to help better understand the unique patterns of the transmission of the novel coronavirus (SARS-CoV-2) in each stage. Results: The original SIR compartment model may produce a poor and even misleading estimation result if it is used to cover the entire period of the epidemic. However, if we use the model carefully in distinctive stages of the COVID-19 epidemic, we can find useful insights into the nature of the transmission of the novel coronavirus and the relative effectiveness of the government's non-pharmaceutical interventions over time. [ABSTRACT FROM AUTHOR]

This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs). This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period between 18 February 2020 and 08 February 2021. The paper identifies three major stages of the COVID-19 epidemic, conducts multi-stage estimations of the SEIR(D) model parameters, and carefully infers context-dependent meaning of the estimation results to help better understand the unique patterns of the transmission of the novel coronavirus (SARS-CoV-2) in each stage. The original SIR compartment model may produce a poor and even misleading estimation result if it is used to cover the entire period of the epidemic. However, if we use the model carefully in distinctive stages of the COVID-19 epidemic, we can find useful insights into the nature of the transmission of the novel coronavirus and the relative effectiveness of the government's non-pharmaceutical interventions over time. Identifies three distinctive waves of the COVID-19 epidemic in Korea. Conducts multi-stage estimations of the COVID-19 transmission dynamics using SEIR(D) epidemic models. The transmission dynamics of the COVID-19 vary over time, primarily depending on the relative effectiveness of the government's non-pharmaceutical interventions (NPIs). The SEIR(D) epidemic model is useful and informative, but only when it is used carefully to account for the presence of multiple waves and context-dependent infection patterns in each wave. [ABSTRACT FROM AUTHOR]

In India, the incidence of mucormycosis reached high levels during 2021–2022, coinciding with the COVID-19 pandemic. In response to this, we established a multicentric ambispective cohort of patients hospitalised with mucormycosis across India. In this paper, we report their baseline profile, clinical characteristics and outcomes at discharge. Patients hospitalized for mucormycosis during March–July 2021 were included. Mucormycosis was diagnosed based on mycological confirmation on direct microscopy (KOH/Calcofluor white stain), culture, histopathology, or supportive evidence from endoscopy or imaging. After consent, trained data collectors used medical records and telephonic interviews to capture data in a pre-tested structured questionnaire. At baseline, we recruited 686 patients from 26 study hospitals, of whom 72.3% were males, 78% had a prior history of diabetes, 53.2% had a history of corticosteroid treatment, and 80% were associated with COVID-19. Pain, numbness or swelling of the face were the commonest symptoms (73.3%). Liposomal Amphotericin B was the commonest drug formulation used (67.1%), and endoscopic sinus surgery was the most common surgical procedure (73.6%). At discharge, the disease was stable in 43.3%, in regression for 29.9% but 9.6% died during hospitalization. Among survivors, commonly reported disabilities included facial disfigurement (18.4%) and difficulties in chewing/swallowing (17.8%). Though the risk of mortality was only 1 in 10, the disability due to the disease was very high. This cohort study could enhance our understanding of the disease's clinical progression and help frame standard treatment guidelines. [ABSTRACT FROM AUTHOR]

The aim of this paper is to analysis the impact of the COVID-19 pandemic on European banks' default risks, as measured by foreign long-term issuer credit ratings published by the main credit rating agencies. Two hypotheses are put forward: (1) The macroeconomic situation has a stronger negative impact on banks' financial conditions during COVID-19; (2) changes in the capital adequacy, assets, management, earnings, and liquidity indicators have a significant impact on changes in banks' credit ratings. The analysis has been prepared for the 2000–2021 period for listed and unlisted banks on the European stock exchanges, that received long-term issuer credit ratings from the main credit rating agencies. To the analysis have been used the ordered logit panel data models and the research has been made on the first differences to analyse the impact of the changes of the financial and macroeconomic conditions on the credit ratings changes. The obtained results suggest a direct and significant impact of the COVID-19 pandemic on the credit rating changes, but a delayed reaction. [ABSTRACT FROM AUTHOR]

This paper examines tourism persistence in a group of Southeastern European (SEE) countries (Albania, Bosnia, Bulgaria, Croatia, Montenegro, North Macedonia, Serbia and Slovenia) by applying fractional integration methods to monthly data on foreign tourist arrivals and overnight stays. The results indicate that the COVID-19 pandemic has increased the degree of persistence of these series as measured by the fractional differencing parameter; specifically, it has removed the mean reversion property in some countries. In addition, it has reduced the importance of the seasonal component. [ABSTRACT FROM AUTHOR]

This paper employs an input-output modelling approach to quantify the impact of decreases in coffee exports between 2019 and 2020 resulting from the implementation of various COVID-19 policies in Lao PDR. The analysis was undertaken at two levels in investigating the effects of these policies on (1) the regional economy in the main coffee producing region of Champasak Province in Southern Laos, and (2) the national economy of Lao PDR. Results were rather mixed at both the regional and national levels, for four reasons: (1) reduced production in other countries increased demand for green bean exports, resulting in a 1.8% (US$12 million) increase in the total value of gross outputs of the provincial economy; (2) reduced local demand and declines in processed coffee consumption and export in the food industry sector, resulted in a 1.5% decrease (US$10 million) in gross provincial production; (3) at the national level, more green bean exports increased the gross production output of the economy by 0.2% (US$24 million) while reduced processed coffee in food industry exports led to a reduction in gross production of 0.13% (US$19.6 million); and (4) the overall effects of COVID-19 restrictions are potentially positive for the coffee sector in Lao PDR in the short term but may have longer-term implications for the coffee sector due to shift away from processed coffee exports to green beans. Future policies to mitigate the impact of COVID-19 will be instrumental in stimulating investment and enhancing the benefits for the coffee sector in Laos. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus has spread seriously throughout the world. Predicting the spread, or the number of cases, in the future can facilitate preparation for, and prevention of, a worst-case scenario. To achieve these purposes, statistical modeling using past data is one feasible approach. This paper describes spatio-temporal modeling of COVID-19 case counts in 47 prefectures of Japan using a nonlinear random effects model, where random effects are introduced to capture the heterogeneity of a number of model parameters associated with the prefectures. The negative binomial distribution is frequently used with the Paul-Held random effects model to account for overdispersion in count data; however, the negative binomial distribution is known to be incapable of accommodating extreme observations such as those found in the COVID-19 case count data. We therefore propose use of the beta-negative binomial distribution with the Paul-Held model. This distribution is a generalization of the negative binomial distribution that has attracted much attention in recent years because it can model extreme observations with analytical tractability. The proposed beta-negative binomial model was applied to multivariate count time series data of COVID-19 cases in the 47 prefectures of Japan. Evaluation by one-step-ahead prediction showed that the proposed model can accommodate extreme observations without sacrificing predictive performance. [ABSTRACT FROM AUTHOR]

Critical geopolitics conceives of the internal organization of the state as a relevant geopolitical subfield. In this context, this paper aims to develop a geopolitical interpretation of the covid-19 crisis management in Catalonia and Spain from March 2020 to mid-April 2020. The paper begins by providing an overview of internal geopolitics literature by Spanish geographers, focusing on the Catalonia/Spain conflict, followed by a thorough analysis of written and oral materials compiled for that purpose. Three discursive periods are identified: up until the declaration of the State of Alarm in mid-March 2020, the first two weeks with this in force, and the first half of April 2020. The paper evinces that the examined materials support contested visions about the distribution of territorial powers within Spain, while also unearthing some specificities that ultimately relate to the Catalan national question. [ABSTRACT FROM AUTHOR]

In this paper, we explored how vulnerable, immunocompromised groups and caregivers of the elderly experienced and perceived the onset of the Covid-19 pandemic in South Africa. Semi-structured interviews were conducted remotely between the 5th andthe 18th of April 2020 in the three South African provinces hardest hit by Covid-19, namely Gauteng, KwaZulu-Natal and the Western Cape. In total, 60 qualitative key informant interviews and one focus group discussion were conducted. Study participants expressed concerns for elderly people and people with underlying health conditions because of their increased vulnerability to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). People living with HIV expressed an increased fear of infection following the advent of the Covid-19 pandemic in South Africa. The sidelining of healthcare services and stock-outs of medication proved to be an added concern in particular for vulnerable and immunocompromised groups. Overall, the data suggest that the fear of infection is ubiquitous for people who live in unstable environments such as overcrowded townships and informal settlements. Given the increased fears of infection brought on by the Covid-19 pandemic, the mental health of vulnerable communities and those caring for them becomes an added burden for people living in unstable environments. [ABSTRACT FROM AUTHOR]

Vaccine hesitancy is an ongoing barrier to achieve sufficient COVID-19 vaccination coverage. Although there are many studies globally of vaccine hesitancy based on large survey samples, there are fewer in-depth qualitative studies that explore vaccine hesitancy and acceptance as a spectrum of decision-making. In this paper, we begin to describe vaccination decision-making among 58 adults living in remote Alaska based on three waves of online surveys and follow-up semi-structured interviews conducted between November 2020 and November 2021. The survey question of intention was not a predictor of adoption for about one third of the interviewees who were unvaccinated when they took the survey (n=12, 35%). Over half of all interviewees (n=37, 64%) had vaccine-related concerns, including 25 vaccinated individuals (representing 57% of vaccinated interviewees). Most interviewees reported that they learned about COVID-19 vaccines through interpersonal interactions (n=30, 52%) and/or a variety of media sources (n=29, 50%). The major facilitators of acceptance were trust in the information source (n=20, 48% of the 42 who responded), and learning from the experiences of family, friends, and the broader community (n=12, 29%). Further, trust and having a sense of agency appears to be important to interviewee decision-making, regardless of vaccination status and intention. [ABSTRACT FROM AUTHOR]

Respiratory tract infections are a common cause of morbidity and mortality globally. The current paper aims to treat this respiratory disorder. Therefore, we elucidated the phytochemical profile of Euphorbia milii flowers and isolated chlorogenic acid (CGA) for the first time. The electrospraying technique was utilized to prepare CGA nanoparticles in polyvinyl alcohol (PVA)/PLGA polymeric matrix. Complete in vitro characterizations were performed to determine particle size, polydispersity index (PDI), zeta potential, loading efficiency (LE), scanning electron microscopy and in vitro release study. The optimum formula (F2) with a particle size (454.36 ± 36.74nm), a surface charge (-4.56 ± 0.84 mV), % of LE (80.23 ± 5.74), an initial burst (29.46 ± 4.79) and % cumulative release (97.42 ± 4.72) were chosen for further activities. In the murine lung infection model, PVA/PLGA NPs loaded with CGA (F2) demonstrated in vivo antibacterial activity against Pseudomonas aeruginosa. Using a plaque assay, the in vitro antiviral activity was investigated. The F2 exhibited antiviral activity against coronavirus (HCoV-229E) and (Middle East respiratory syndrome coronavirus (MERS-CoV), NRCEHKU270). The IC50 of F2 against HCoV-229E and MERS-CoV was 170 ± 1.1 and 223 ± 0.88 μg/mL, respectively. The values of IC50 of F2 were significantly lower (p<.05) than that of free CGA. Therefore, the encapsulation of CGA into electrospray PVA/PLGA NPs would be a promising tool as an antimicrobial agent. [ABSTRACT FROM AUTHOR]

Design/methodology/approach: This paper used pervious related to aviation literatures to summarise and viewpoint the current aviation environment and conduct the risks, value, and resilience of grounded aircraft-value in the post-pandemic era. Purpose: Throughout 2020 to date, this major event, known as SARS CoV-2, has had a decisive impact on global air transport. Since the outbreak began, passenger travel has declined due to infection risks and new laws and travel restrictions. Dependent Surveillance-Despite the recent recovery in demand from the airline industry, risks posed by new models remain a concern for many airlines. From the data of Broadcasting (ADS-B) is helpful for preliminary observation and judgment of the value level of a certain type of aircraft. Findings: This paper not only focuses on the aviation environment, but discusses aviation highlights such as international perspectives, domestic (i.e. Taiwan) perspectives, and several issues between industry and academic perspectives. Research limitations/implications: The next phase of research needed in this area is a closer assessment of the value of aircraft in the development of global networks, which could have important policy implications for aircraft manufacturers and the aviation industry. Originality/value: This paper provides a contemplative perspective about the aviation industry. [ABSTRACT FROM AUTHOR]

The disruptive effects of the COVID-19 pandemic has rapidly shifted how individuals navigate in cities. Governments are concerned that travel behavior will shift toward a car-driven and homeworking future, shifting demand away from public transport use. These concerns place the recovery of public transport in a possible crisis. A resilience perspective may aid the discussion around recovery – particularly one that deviates from pre-pandemic behavior. This paper presents an empirical study of London's public transport demand and introduces a perspective of spatial resilience to the existing body of research on post-pandemic public transport demand. This study defines spatial resilience as the rate of recovery in public transport demand within census boundaries over a period after lockdown restrictions were lifted. The relationship between spatial resilience and urban socioeconomic factors was investigated by a global spatial regression model and a localized perspective through Geographically Weighted Regression (GWR) model. In this case study of London, the analysis focuses on the period after the first COVID-19 lockdown restrictions were lifted (June 2020) and before the new restrictions in mid-September 2020. The analysis shows that outer London generally recovered faster than inner London. Factors of income, car ownership and density of public transport infrastructure were found to have the greatest influence on spatial patterns in resilience. Furthermore, influential relationships vary locally, inviting future research to examine the drivers of this spatial heterogeneity. Thus, this research recommends transport policymakers capture the influences of homeworking, ensure funding for a minimum level of service, and advocate for a polycentric recovery post-pandemic. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has affected how people go about their daily lives, often in various and substantial ways. This study aims to prospectively evaluate the changes in social participation during the COVID-19 pandemic in persons with a high risk for a severe COVID-19 course in Germany. A paper-pencil-based survey was conducted starting at March 2021. Participants filled out questionnaires at four time points based on their COVID-19 vaccination status: before COVID-19 vaccination, one month, six months and twelve months after COVID-19 vaccination. Social participation measures included the Pandemic Social Participation Questionnaire (PSP-Q) and the Index for measuring participation restrictions (IMET). Repeated measures ANOVA and paired t-test were used to test for changes between time-points. Repeated measures correlation was used to assess the relationship between social participation and local COVID-19 incidences. Data from 245 participants was analyzed before and one month after COVID-19 vaccination. In addition, data from 156 participants was analyzed at time points one, six and twelve months after COVID-19. PSP-Q and IMET scores changed significantly after participants received a COVID-19 vaccination. Between one month and twelve months after vaccination, social participation improved significantly measured by PSP-Q. Social participation was negatively correlated with regional COVID-19 incidences before and after COVID-19 vaccination. Social participation was positively correlated with COVID-19 incidences between one month and twelve months after COVID-19 vaccination. Social participation improved in persons with a high risk for a severe COVID-19 course during the pandemic. The local COVID-19 incidence showed a negative association with social participation only until the fall of 2021 when it was used as the sole metric to regulate COVID-19 protective measures. Although our data describes the trends in social participation, further studies are needed to identify the influencing factors for the observed increase in social participation. [ABSTRACT FROM AUTHOR]

Worldwide, the recent SARS-CoV-2 virus disease outbreak has infected more than 691,000,000 people and killed more than 6,900,000. Surprisingly, Sub-Saharan Africa has suffered the least from the SARS-CoV-2 pandemic. Factors that are inherent to developing countries and that contrast with their counterparts in developed countries have been associated with these disease burden differences. In this paper, we developed data-driven COVID-19 mathematical models of two 'extreme': Cameroon, a developing country, and New York State (NYS) located in a developed country. We then identified critical parameters that could be used to explain the lower-than-expected COVID-19 disease burden in Cameroon versus NYS and to help mitigate future major disease outbreaks. Through the introduction of a 'disease burden' function, we found that COVID-19 could have been much more severe in Cameroon than in NYS if the vaccination rate had remained very low in Cameroon and the pandemic had not ended. [ABSTRACT FROM AUTHOR]

HIV/AIDS-COVID-19 co-infection is a major public health concern especially in developing countries of the world. This paper presents HIV/AIDS-COVID-19 co-infection to investigate the impact of interventions on its transmission using ordinary differential equation. In the analysis of the model, the solutions are shown to be non-negative and bounded, using next-generation matrix approach the basic reproduction numbers are computed, sufficient conditions for stabilities of equilibrium points are established. The sensitivity analysis showed that transmission rates are the most sensitive parameters that have direct impact on the basic reproduction numbers and protection and treatment rates are more sensitive and have indirect impact to the basic reproduction numbers. Numerical simulations shown that some parameter effects on the transmission of single infections as well as co-infection, and applying the protection rates and treatment rates have effective roles to minimize and also to eradicate the HIV/AIDS-COVID-19 co-infection spreading in the community. [ABSTRACT FROM AUTHOR]

Bioethics provides various models of fair allocation of scarce health resources like COVID-19 vaccines. Even though these models are grounded in some ethical principles like justice and beneficence, there were severe inequalities in global access to COVID-19 vaccines. In Ghana, about 21.5 million COVID-19-doses have been administered but comprise mainly members of the adult population. As a result, ethical issues related to vaccinating children have been largely ignored in the country. This paper explores some of the ethical implications related to children's exclusion in the initial COVID-19 vaccination programs in Ghana. It provides a general overview of the COVID-19 pandemic in Ghana and how it related to children and discusses the risks to which Ghanaian children were exposed by delaying their COVID-19 vaccination. A guide to facilitating the full rollout of COVID-19 vaccination in Ghana for children has been proposed that indicates that a fair vaccine distribution for children should prioritize children on admission at health facilities, those diagnosed with severe underlying health conditions, and children who could play an instrumental role in promoting vaccine uptake. It concludes that children must not be placed at the peripheries of the COVID-19 vaccination program in Ghana. [ABSTRACT FROM AUTHOR]

Purpose: This research examines the implementation of the Icelandic Prevention Model (IPM) in Canada to identify opportunities revealed by the COVID-19 pandemic to re-design our social eco-system to promote wellbeing. This paper has two objectives: 1) to provide a conceptual review of research that applies the bioecological model to youth substance use prevention with a focus on the concepts of time and physical space use and 2) to describe a case study that examines the implementation of the IPM in Canada within the context of the COVID-19 pandemic. Method: Study data were collected through semistructured qualitative interviews with key stakeholders involved in implementing the IPM. Results: Findings are organized within three over-arching themes derived from a thematic analysis: 1) Issues that influence time and space use patterns and youth substance use, 2) Family and community cohesion and influences on developmental context and time use and 3) Opportunities presented by the pandemic that can promote youth wellbeing. Conclusion: We apply the findings to research on the IPM as well as the pandemic to examine opportunities that may support primary prevention and overall youth wellbeing. We use the concepts of time and space as a foundation to discuss implications for policy and practice going forward. [ABSTRACT FROM AUTHOR]

In this paper, an optimal control model for the transmission dynamics of COVID-19 is investigated. We established important model properties like nonnegativity and boundedness of solutions, and also the region of invariance. Further, an expression for the basic reproduction number is computed and its sensitivity w.r.t model parameters is carried out to identify the most sensitive parameter. Based on sensitivity analysis, optimal control strategies were presented to reduce the disease burden and related costs. It is demonstrated that optimal control does exist and is unique. The characterization of optimal trajectories is analytically studied via Pontryagin's Minimum Principle. Moreover, various simulations were performed to support analytical results. The simulation results showed that the proposed controls significantly influence the disease burden compared to the absence of control cases. Further, it reveals that the applied control strategies are effective throughout the intervention period in reducing COVID-19 diseases in the community. Besides, the simulation results of the optimal control suggested that concurrently applying all controlling strategies outperform in mitigating the spread of COVID-19 compared to any other preventive measures. [ABSTRACT FROM AUTHOR]

The 2019 new coronavirus illness (COVID-19) is an international public health emergency. Our social and healthcare systems are under a great deal of strain as a result of the daily increase in infection rates and fatalities. Doctors typically perform a chest Xray to identify the diseased areas of the lungs since pneumonia is a common type of infection that spreads in the lungs. In this paper, we propose a Convolution Neural Network via the li regularization model to detect COVID-19 patients using chest X-Ray images. Due to the lack of the COVID-19 benchmark dataset, we use deep learning techniques to identify the best pre-trained CNN model for this job by comparing 15 models. The suggested algorithm was tested on 1316 photos (116 COVID-19 cases, 328 healthy controls, and 872 pneumonia cases), with 66% for training, 17% for validation, and 17% for testing. The classification accuracy, loss, valueaccuracy, and value-loss values obtained by the suggested technique are 0.9912, 0.0187, 0.1119, and 0.9506 respectively. Additionally, the model effectively decreases training loss while boosting accuracy. The results show that proposed procedures are more effective than existing ones at identifying COVID-19 cases from chest X-ray pictures. [ABSTRACT FROM AUTHOR]

The world is grappled with an unprecedented challenges due to Corona virus. We are all battling this epidemic together, but we have not been able to defeat this epidemic yet. A new variant of this virus, named 'Omicron' is spreading these days. The fractional differential equations are providing us with better tools to study the mathematical model with memory effects. In this paper, we will consider an extended SER mathematical model with quarantined and vaccinated compartment to speculate the Omicron variant. This extended Susceptible Exposed Infected Recovered SER model involves equations that associate with the group of individuals those are susceptible (S), exposed (E): this class includes the individuals who are infected but not yet infectious, infectious (W): this class includes the individuals who are infected but not yet Quarantined, quarantined (Q): this class includes those group of people who are infectious, confirmed and quarantined, recovered (R) this class includes the group of individuals who have recovered, and vaccinated (V): this class includes the group of individuals who have been vaccinated. The non-negativity and of the extended SER model is analysed, the equilibrium points and the basic reproduction number are also calculated. The proposed model is then extended to the mathematical model using AB derivative operator. Proof for the existence and the uniqueness for the solution of fractional mathematical model in sense of AB fractional derivative is detailed and a numerical method is detailed to obtain the numerical solutions. Further we have discussed the efficiency of the vaccine against the Omicron variant via graphical representation. [ABSTRACT FROM AUTHOR]

As COVID-19 is an emerging pandemic, analysing its evolution is necessary to understand it in order to find appropriate answers. In this paper, we aim to observe and analyse it at the Chadian-Senegalese level. Thus, we collect public data in order to present via curves, histograms and tables the main characteristics of this pandemic. In this way, we implement a python program to construct these. We focus only on extracting long-term data without predictive models. We observed that there are mainly two waves (outbreak) per year with stable or even decreasing infection and death rates. We also identified moments of growth and relaxation of the disease. These results can be used to identify times when treatment or prevention should be intensified. [ABSTRACT FROM AUTHOR]

Digital agriculture solutions hold a promise to build agri-food food systems that are more efficient, environmentally sustainable, and inclusive, thereby contributing to the attainment of the Sustainable Development Goals. In most African countries, the rapid adoption of mobile phones and other digital tools have accelerated the deployment of agricultural services for farmers and other value chain actors resulting in enhanced access to information, knowledge, financial services, markets, and farm tools. In addition, the COVID-19 pandemic has provided a unique opportunity to fast-track the deployment of contact-free digital solutions along the agri-food value chains. Despite the numerous opportunities presented by the digital agricultural revolution, its potential to transform agri-food systems in Africa remains uncertain. With a broad perspective on Africa, this paper explores the emerging evidence on digital agricultural services including key drivers, evidence on impact, and the effects of the COVID-19 pandemic. The paper concludes with some implications for policy makers and professionals in agricultural economics. [ABSTRACT FROM AUTHOR]

SARS-CoV2 is the latest pandemic that have plagued the socio-health system as an epiphenomenon resulting from planetary resources abuse, crucial for biodiversity. The Anthropocene best defines the present epoch in which human activity irreversibly manipulates intricate and delicate geological and biological balances established over eons. The devastating ecological and socio-economic implications of COVID-19, underline the importance of updating the present pandemic framework to a syndemic. This paper stems from the need to suggest to scientists, doctors, and patients a mission that integrates responsibility from individual to collective health, from present to trans-generational, from human to the entire biotic network. Today's choices are crucial for the perspective on all levels: political, economic, and health as well as cultural. Research on PubMed and other specific web-sites journal was performed on the topic "Microbiota", "Covid-19", "Pandemic", "Zoonosis", "SARS-CoV-2", "Environmental Pollutants", "Epigenetics", "Fetal Programming", "Human Extinction". Data collected were analysed for an integrative model of interconnection between environment, pregnancy, SARS-CoV-2 infection, and microbiota. Moreover, systematic literature review allowed to summarise in a table information about the worst pandemics that afflicted the human species recently. This paper offers a broad view of the current pandemic starting with pregnancy, the moment when a new life begins and the health trajectories of the unborn child are defined, which will inevitably have repercussions on his well-being. The fundamental role of the biodiversity-rich microbiota in avoiding the development of severe infectious diseases, is therefore highlighted. It is imperative to adjust the current reductionist paradigm based on mostly immediate symptom management towards a broader understanding of the spatial interconnection of ecological niches with human health and the impacts of today's choices on the future. Health and healthcare are elitist rather than egalitarian, therefore focusing on environmental health forces us to make a concerted and systemic effort that challenges political and economic barriers, which are biologically senseless. A healthy microbiota is essential to well-being, both by preventing chronic degenerative conditions, the infectiousness and pathogenicity of bacterial and viral diseases. SARS-CoV-2 should not be an exception. The human microbiota, forged by the first 1,000 days of life, is fundamental in shaping the health-disease trajectories, and by the everlasting exposome that is dramatically affected by the ecological disaster. Individual health is one world health whereas single and global well-being are interdependent in a space-time perspective. Is it not a convenient reductionism not to consider the COVID-19 emergency as a bio-social epiphenomenon of a far more devastating and multi-faceted crisis whose common denominator is the global biotic network loss of which humans are still part? [ABSTRACT FROM AUTHOR]

2022 was a year of crises, not just one but multiple intersecting crises that caused traumatic stress in billions of people worldwide. COVID-19 is still not over. New wars have started, and the climate change impact is bigger than ever. Will the Anthropocene be an era of continued crises? This past year the European Journal of Psychotraumatology (EJPT) has again tried to contribute to how to prevent or treat the consequences of these major crises as well as other events and we will continue to do so the year to come. For instance, we will have special issues or collections addressing these big issues, such as climate change and traumatic stress, or early intervention after trauma or in times of conflict. In this editorial, we also present the past year's excellent journal metrics regarding reach, impact, and quality and the ESTSS EJPT award finalists for best paper of 2022 and look forward to 2023. 2022 was a year of multiple intersecting crises causing traumatic stress to billions of people around the world. European Journal of Psychotraumatology (EJPT) aims to contribute to how to understand, prevent or treat the consequences of these major crises. EJPT's editorial team again achieved excellent journal metrics regarding reach, impact, and quality in 2022. [ABSTRACT FROM AUTHOR]

China has been contributing to new approaches to global governance. The Health Silk Road (HSR), a significant component of the Belt and Road Initiative (BRI), was proposed by China in 2016. This paper claims that HSR is a new institution introduced alongside the existing WHO-led multilateral health system, and its relationship with the existing system can be described as layering. Having explored the new development of HSR during COVID-19, this paper further argues that while HSR has its unique strength in making contributions to global health governance and economic recovery, it faces a prominent issue of securitisation in the context of China-U.S. strategic competition, suspicion of the quality of medical products and sectoral fragmentation. [ABSTRACT FROM AUTHOR]

The sudden outbreak of the novel Coronavirus (nCoV-19, COVID-19) and its rampant spread led to a significant number of people being infected worldwide and disrupted several businesses. With most of the countries imposing serious lockdowns due to the increasing number of fatalities, the social lives of millions of people were affected. Although the lockdown led to an increase in network activities, online shopping, and social network usage, it also raised questions On the mental wellness of society. Interestingly, excessive usage of social networks also witnessed humor traveling across the Internet in the form of Internet Memes during the lockdown period. Humor is known to affect our well-being, decision-making, and psychological systems. In this paper, we have analyzed the Internet Meme activity in Social Networks during the COVID-19 Lockdown period. As humor is known to relieve individuals from psychological stress, it is necessary to understand how human beings adopted Internet Memes for coping up with the lockdown stress and stress-relieving mechanism during the lockdown period. In this paper, we have considered thirty popular memes and the increase in the number of their captions within the period (September 2017 to August 2020). An increase in Internet Meme activity since the lockdown period (March 2020) depicts an increase in online social behavior. We analyze the internet meme activity in social networks during the COVID-19 lockdown period using random forest, multi-layer perceptron, and instance-based learning algorithms followed by data visualization using line graph and Heat Map (8 & 15 clustered). We also compared the performance of the models using evaluation parameters like mean absolute error, root-mean-squared error & Kappa statistics and observed that random forest and instance-based learning algorithms perform better than multi-layer perceptrons. The result indicates that random forest and instance-based learning classifiers are having near perfect classification tendencies whereas multi-layer perceptrons showed around 97% classification accuracy. [ABSTRACT FROM AUTHOR]

Epidemics such as COVID-19 present a substantial menace to public health and global economies. While the problem of epidemic forecasting has been thoroughly investigated in the literature, there is limited work studying the problem of optimal epidemic control. In the present paper, we introduce a novel epidemiological model (EM) that is inherently suitable for analyzing different control policies. We validated the potential of the developed EM in modeling the evolution of COVID-19 infections with a mean Pearson correlation of 0.609 CI 0.525-0.690 and P-value < 0.001. To automate the process of analyzing control policies and finding the optimal one, we adapted the developed EM to the reinforcement learning (RL) setting and ran several experiments. The results of this work show that the problem of optimal epidemic control can be significantly difficult for governments and policymakers, especially if faced with several constraints at once, hence, the need for such machine learning-based decision support tools. Moreover, it demonstrated the potential of deep RL in addressing such real-world problems. [ABSTRACT FROM AUTHOR]

Aotearoa, New Zealand's (NZ) initial pandemic response has been held up internationally as a model of social cohesion and compassion, made salient by the 'team of five million' messaging promoted by the New Zealand government. This paper considers whether the first New Zealand COVID-19 lockdown was viewed and experienced as socially cohesive from the perspective of diverse older New Zealanders. This study presents a deductive analysis based on 44 individual or group interviews with Māori, Pacific, Chinese, Korean and New Zealand European (NZE) people aged 60 and over. This paper presents a critical, intersectional discussion around social cohesion experienced by older New Zealanders during lockdown, by considering their views and experiences of belongingness, legitimacy, recognition, inclusion and participation. We suggest that New Zealand European participants benefited most from national appeals for solidarity and reported enhanced feelings of belongingness and inclusion. Māori, Chinese, Korean and Pacific experienced belongingness and inclusion primarily on a community level owing to the culturally-specific support they received. We conclude that future pandemic planning should aim to strengthen targeted culturally-specific community initiatives already in action whilst improving aspects of inclusion and participation for all older New Zealanders. [ABSTRACT FROM AUTHOR]

The economies all over the world that have been adversely affected by the COVID-19 pandemic have recently started to devise different strategies to mitigate its consequences. Therefore, in order to dwell deeper into the measures taken by the policy makers around the world, this paper specifically analyzes how the monetary policies have been devised, in response to COVID-19. For this purpose, this paper has taken into consideration a panel of 8 Asian economies that have been affected the most acutely by the virus, have faced multiple lockdowns, and have also experienced other economic restraints, due to this very phenomenon. In order to compare the possible monetary policy options, and their outcomes during the COVID-19 pandemic, this paper refers to the global recession shock, as a valid point of reference. In addition to this, in order to gain access to the empirical evidence, the ARDL methodology has been applied on the quarterly data from 2005Q3 to 2020Q3. The results of the study have indicated that various plans have been taken into consideration, so as to lessen the consequences of these shocks that have trickled down into the respective economies of these countries. That is to put forth that, in the incidence of global recession, the monetary authorities have resorted to a less prudent stance. Whereas, more flexibility, through a persistent decrease in the policy rate has been observed since the pandemic first hit the world. In this regard, our results imply that a successful, efficient and effective response to the economic consequences of COVID-19, would ideally entail a set of remedial policies and structural reforms. [ABSTRACT FROM AUTHOR]

It is no longer debatable that the socio-economic impact of COVID-19 caused a resurgence in the role of the state and propelled the need for novel responses reinforced by the structural component of the state. The structural component of the state refers to the administrative power, resources and capacity of the state to mitigate the impact of the pandemic in the context of COVID-19. This paper explores the relationship between the central and local states in coordinating efforts to attenuate and respond to the pandemic, and the meaning of state-led responses for South Africa's developmental state ambition. The South African government demonstrated political willingness to utilize its structural component by distributing its administrative capacity, resources and power to all the spheres of government to fight the pandemic through its stimulus package. The country's pandemic responses reveal good implications for strengthening institutional arrangements and consolidating a well-coordinated and capable developmental state. [ABSTRACT FROM AUTHOR]

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As teaching and learning processes evolve in the wake of COVID−19, fresh thinking about the role of remote online learning (ROL) is critical as part of a wider reimagining of education in a post-pandemic context. In this paper, attention is focused on ROL within teacher education. This study sought to explore pre-service teachers' perceptions of their ROL experiences in a Fijian teacher education programme. The qualitative study design was informed by transactional distance theory. Using a narrative inquiry approach, data from 15 pre-service teachers were collected and analysed. Via individual interviews conducted online, the prospective teachers shared their perceptions about the nature of interactions experienced whilst engaged in ROL during the pandemic. Data were analysed thematically, in relation to instructional dialogue, course structure, and autonomy. In-depth analysis of rich data allowed main themes to emerge that captured the participants' viewpoints. Prominent themes in instructional dialogue revealed some concerns about the precedence of textual communication over verbal in ROL and the perception of emphasis on product over the process of learning. In terms of course structure, volume of assessment and teaching style were among aspects which participants identified as affecting learner-content engagement. Comments about learner autonomy suggested that the pre-service teachers sought positives amidst the difficulties encountered, whilst maintaining a focus on completing the assessments and passing the course. The analysis of pre-service teachers' experiences offers insight into how aspects of ROL may challenge participant engagement within elements of teacher education courses. It highlights the support that needs to be provided to prospective teachers in order to reduce transactional distance, suggesting that effective course design and instructional dialogue to promote learner autonomy are both crucial to sustainable teacher education in the post-pandemic context. [ABSTRACT FROM AUTHOR]

There is a recognised need internationally to reduce depression and anxiety among adolescents. As a population particularly sensitive to the amount and quality of social interaction, challenges for young people became magnified during COVID-19, particularly for students from under-represented and marginalised communities across the globe. This paper reports on a study conducted in Washington State, USA, that sought, via an alliance with students, parents, educators and community leaders, to gain insight into students' lived experiences during the pandemic. It aimed to better comprehend how experiences affected social emotional learning and use this understanding to explore ways of reducing students' mental health concerns. We created a diverse consortium, drawn from six schools. It comprised 13 students, predominantly students of colour, across the age range 11–18 years. Also participating were five other stakeholders: parents, educators and community leaders. The consortium's involvement in five online discussion sessions led to the collection of rich data, as participants shared perspectives on pandemic experiences and learning. Additionally, we administered a survey about group collaboration. Data were analysed thematically. The formation of the consortium represented a significant outcome in itself, providing a meaningful way of gaining understanding of the mental health and social emotional concerns of the students, their families and the other collaborators. Another outcome was the opportunity for students and parents to be at the same table and voice concerns about remote learning, sharing views on how changes affected students' learning and mental health. The consortium allowed for all voices to be heard. This research highlights the need for more attention and resources to be directed towards students of colour, not only across schools within the research setting but also elsewhere internationally. The connection of students with educators, parents and community stakeholders, by means of a consortium, can build a foundation through which the mental health needs of students in school may be addressed in future research. [ABSTRACT FROM AUTHOR]

The 17th Sustainable Development Goal seeks to promote partnerships at various levels. To this end, COVID-19 vaccines development partnerships in the BRICS (Brazil, Russia, India, China and South Africa) are inevitable in facilitating ethical access to affordable and safe vaccines the world over. With South Africa being part of the BRICS, its presence can assist in leveraging the partnership to ensure that COVID-19 vaccines developed by the BRICS are efficiently deployed in Africa. Through the tracking of announcements, documents and critical discourse analysis, and Geographical Information Systems, this paper investigates COVID-19 vaccines development collaboration in the BRICS and its implication for Africa. It emerges that there is an inherent discord in the BRICS, with bilateral arrangements both within and outside the forum being evident. This has resulted in advance breakthrough COVID-19 vaccines from China and Russia not widely tried across the BRICS. The paper notes that these developments weaken the global south and affect its potential to develop COVID 19 vaccines. The work recommends a reconsideration in terms of COVID-19 vaccines development and future proofing of collaboration within the BRICS and finding a way of having South Africa continue to lobby for affordable and accessible vaccines for Africa. [ABSTRACT FROM AUTHOR]

We investigate the interactive effect of donors' self-construal and frame of a persuasive message (emphasizing statistical or identifiable victims affected by COVID-19) on donation intent. Three studies featuring 1,104 participants document a positive effect of the identifiable victim (vs. statistical victims) frame on donation intent, but only for interdependent respondents and not for independent ones (study 1). This conditional positive effect of the identifiable victim frame is due to interdependents' heightened holistic thinking style (studies 2 and 3). Findings have public significance for addressing COVID-related economic challenges. The paper concludes with theoretical contributions, practical implications, and ideas for future research. [ABSTRACT FROM AUTHOR]

The global outbreak of the novel coronavirus has had a great impact on commercial areas, particularly in Wuhan, the first city in China affected by the epidemic. Exploring the changing pattern of these areas during the epidemic period is crucial for effectively restoring the urban economic level and promoting economic development on the basis of epidemic prevention and control in the post-epidemic era. The paper proposes a resilience analysis of urban commercial areas during the COVID-19 epidemic using time-series night-time light remote sensing data. Based on the constructed time-series night-time light remote sensing dataset and considering the urban impervious surface, the urban commercial area was extracted under multi-scale segmentation. Based on night-time light data before and after the epidemic, the resilience of representative commercial areas in Wuhan City, Hubei Province during the COVID-19 epidemic was analysed using a modified improved resilience assessment framework. The results showed that the lighting values of commercial areas and impervious areas decreased by up to 30% following the implementation of city lockdown measures. The change of light brightness in the commercial areas was more prominent, and the range of change is larger than that in the non-commercial areas. The lighting brightness of the commercial areas exhibited a significant downward trend throughout the entire lockdown period, and the downward trend will still remain for a period of time after unlocking. Among all the commercial areas, Wuguang commercial area demonstrated the highest recovery rate during the lockdown period and instantaneous recovery rate after the lockdown, with relatively low closure loss and the highest level of resilience. [ABSTRACT FROM AUTHOR]

This paper has explored the impact of the Covid-19 pandemic on the Italian stock market at an industry level, analysing companies listed in the two major stock indexes: MIB 30 and STAR. Using daily firm-level stock prices (from December 2019, until October 31, 2020), we employed an event-study approach to analyse short-term stock market reactions, considering different pandemic windows period. Results showed that stocks reacted negatively to the announcement of the first case in the country, with deep reversal effects when the country was locked down. Monetary policy measures showed potential to ease stock markets: the announcement of Next Generation Agreement highlights the reversed role of Market Capitalization. Firm-specific variables were included in order to make inferences about firm characteristics that emerged as value drivers during the pandemic: in the first lockdown period, a greater company's capitalization ensured a greater resilience to the Covid-19 shock. Reversals at both an industry and a company level are observed. Results allow to understand how an outbreak of contagious disease affects stock returns in various sectors, helping investors to develop trading strategies to protect their wealth from future epidemics and providing inputs into the assessment of economic vulnerability to pandemic crises. [ABSTRACT FROM AUTHOR]

Transport is one of the essential services contributing to a country's development. The global pandemic caused by Covid-19 has affected different sectors, one of the most affected being public transport services. In Spain there are several transport companies, some of them are public, and others are private. The main objective of this paper is to study the profitability, liquidity, and solvency situation of transport companies considering their size and type of management. The impact of the Covid-19 pandemic on transport companies will be analyzed too. After descriptive analysis of the companies by ratios, the Altman Z-score indicator has been used. This methodology has been used to assess whether the health crisis has compromised the solvency of these companies. The results have shown that privately managed companies are healthier and have a lower risk of insolvency than public companies. In addition, small companies were more solvent than big companies. This study is an essential contribution to the academic literature, public administration, and management of companies. [ABSTRACT FROM AUTHOR]