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In this article, Coronavirus Disease COVID-19 transmission dynamics were studied to examine the utility of the SEIR compartmental model, using two non-singular kernel fractional derivative operators. This method was used to evaluate the complete memory effects within the model. The Caputo-Fabrizio (CF) and Atangana-Baleanu models were used predicatively, to demonstrate the possible long-term trajectories of COVID-19. Thus, the expression of the basic reproduction number using the next generating matrix was derived. We also investigated the local stability of the equilibrium points. Additionally, we examined the existence and uniqueness of the solution for both extensions of these models. Comparisons of these two epidemic modeling approaches (i.e. CF and ABC fractional derivative) illustrated that, for non-integer τ value. The ABC approach had a significant effect on the dynamics of the epidemic and provided new perspective for its utilization as a tool to advance research in disease transmission dynamics for critical COVID-19 cases. Concurrently, the CF approach demonstrated promise for use in mild cases. Furthermore, the integer τ value results of both approaches were identical.We revisit functional upgrading opportunities for developing and emerging market companies in the context of highly financialised food systems. We argue that the assessment of upgrading potential within the global value chain literature lacks consideration of constraints posed by financialisation, not only of the sector within which upgrading takes place but also by the global financial architecture more broadly. For the Ghanaian cocoa-chocolate sector, we show that financialisation acts as limiting factor to upgrading, with contradicting tendencies. First, financialisation of lead firms, eager to outsource non-core activities, has promoted cocoa processing in Ghana, but the resulting consolidation of power hinders further functional upgrading. Second, Ghana's dependency on cocoa for foreign exchange earnings necessitates upgrading into higher value-added segments, while also undermining feasible upgrading strategies that build on domestic or regional markets first. These contradicting tendencies constitute a middle value-added trap, which is difficult but not impossible to overcome.The unprecedented COVID-19 pandemic has affected most aspects of human life, including the ways in which organizations are operating. Minimizing the spread of coronavirus and its economic consequences, and creating a new and safe lifestyle has now become the common goals of governments all over the world. Although governments have responded to the COVID-19 pandemic by implementing various rules while interacting with relevant organizations to provide health service, vaccine research, and production of essential items, the complexities in the interactions between various stakeholders have proved to be challenging to have efficient and timely outputs. When different stakeholders (i.e. governments, organizations, and the public) are interacting with each other, a systems thinking process needs to be applied to capture the nuances of the interactions and the subsequent emergent behavior to effectively contribute to the system output (i.e. a safer way of life). This paper applied a system-thinking-inspired process called System Theoretic Process Analysis (STPA) to analyze the current response to the COVID-19 pandemic. The analysis treated various stakeholders as a part of the system, and it focused on the interactions among different stakeholders (i.e. functional blocks) within the system - i.e. 'Government', 'Foreign Governments', 'Organizations', and 'General Public', as well as the interactions with 'W.H.O'. The STPA analysis found 236 potential Unsafe Control Actions (UCAs) (or unsafe interactions) among the stakeholder interactions, each of the UCAs was then further analyzed. In total 1440 causal factors of the UCAs were identified, and 2880 requirements were proposed to avoid such unsafe interactions.In this cross-sectional survey-based study conducted in early fall 2020, we attempted to measure and ascertain the extent of whether employers in New York and New Jersey were prepared to manage and follow occupational safety and health (S&H) regulations and industry risk processes in developing an exposure control response program to COVID-19, the disease caused by exposure to the coronavirus SARS-CoV-2. We focused on Region II of the U.S. Department of Labor (USDOL)-Occupational Safety and Health Administration (OSHA). In addition, we examined possible explanations for lack of compliance and uniformity across the region in various USDOL-OSHA regulatory aspects like training, respiratory protection program administration and proper task-specific application of occupational S&H hazard controls through risk management systems. We suggest opportunities for employer and governmental interventions to reduce potential worker exposures and better control future worksite biological hazards and infectious disease transmission. Overall, data suggested prevalent inconsistencies, noncompliance and a less than uniform approach to implementing COVID-19 response programs.

The viral infections can be highly contagious and easily transmissible, which even can lead to a pandemic, like the recent COVID-19 outbreak, causing massive deaths worldwide. While, still the best practical way to prevent the transmission of viruses is to practice self-sanitation and follow social distancing principles, enhancing the individual's immunity through the consumption of proper foods containing balanced nutrients can have significant result against viral infections. Foods containing nutrients such as vitamins, minerals, fatty acids, few polysaccharides, and some non-nutrients (i.e. polyphenols) have shown therapeutic potential against the function of viruses and can increase the immunity of people.

The results of conducted works aiming for studying the potential antiviral characteristics of diverse groups of foods and food's nutrients (in terms of polysaccharides, proteins, lipids, vitamins, and minerals) are critically discussed.

Nutrients, besides playing an important role in maintaining n entering into the defensive mechanism directly through interfering with the target viruses, or indirectly through activating the cells associated with the adaptive immune system. During the current situation of COVID-19 pandemic (the lack of proper curative viral drug), enhancing the immunity of individual's body through proposing the appropriate diet (rich in both macro and micro-nutrients) is one of few practical preventive measures available in fighting against Coronaviruses, this significant health-threatening virus, as well as other viruses in general.First responders experience substantial stress due to the nature of their work (Carleton et al. GSK1838705A purchase 2017). Occupational stress (OS) results from a myriad of employment conditions (e.g., ambiguous work expectations, unreasonable workload; Osipow 1998). OS can lead to maladaptive anger, which negatively impacts personal well-being and work performance (Velichkovsky 2009). In contrast, resilience to demanding working conditions is associated with lower state and trait anger (Wilson et al. 2001); thus, resilience may serve a protective 'buffer' role against anger in the face of stress. Thus, we hypothesized that resiliency would mediate relations between dimensions of OS and anger. The current study included 201 first responders (male = 77.6%; Mage = 43.73 years (SD = 10.97); police officers = 64.2%) who completed measures of OS (OSI-R; Osipow 1998), Anger (DSM-5 CC Anger; APA 2013), and Resiliency (CD-RISC; Connor and Davidson 2003). Results indicated that resiliency mediated relations between five components of OS and anger Role Overload (p less then .001); Insufficiency (p less then .001); Role Boundary (p less then .001); Role Ambiguity (p less then .001); and Role Responsibility (p less then .001). Results support the importance of resiliency-enhancing interventions to offset the experience of anger when confronted with occupational stress in first responders.Landfilling is one of the indispensable parts of solid waste management in various countries. Solid waste disposed of in landfill sites provides nutrients for the proliferation of pathogenic microbes which are aerosolized into the atmosphere due to the local meteorology and various waste disposal activities. Bioaerosols released from landfill sites can create health issues for employees and adjoining public. The present study offers an overview of the microbial diversity reported in the air samples collected from various landfill sites worldwide. This paper also discusses other aspects, including effect of meteorological conditions on the bioaerosol concentrations, sampling techniques, bioaerosol exposure and potential health impacts. Analysis of literature concluded that landfill air is dominated by microbial dust or various pathogenic microbes like Enterobacteriaceae, Staphylococcus aureus, Clostridium perfringens, Acinetobacter calcoaceticus and Aspergillus fumigatus. The bioaerosols present in the landfill environment are of respirable sizes and can penetrate deep into lower respiratory systems and trigger respiratory symptoms and chronic pulmonary diseases. Most studies reported higher bioaerosol concentrations in spring and summer as higher temperature and relative humidity provide a favourable environment for survival and multiplication of microbes. Landfill workers involved in solid waste disposal activities are at the highest risk of exposure to these bioaerosols due to their proximity to solid waste and as they practise minimum personal safety and hygiene measures during working hours. Workers are recommended to use personal protective equipment and practise hygiene to reduce the impact of occupational exposure to bioaerosols.One of the principal ways nations are responding to the COVID-19 pandemic is by locking down portions of their economies to reduce infectious spread. This is expensive in terms of lost jobs, lost economic productivity, and lost freedoms. So it is of interest to ask What is the optimal intensity with which to lockdown, and how should that intensity vary dynamically over the course of an epidemic? This paper explores such questions with an optimal control model that recognizes the particular risks when infection rates surge beyond the healthcare system's capacity to deliver appropriate care. The analysis shows that four broad strategies emerge, ranging from brief lockdowns that only "smooth the curve" to sustained lockdowns that prevent infections from spiking beyond the healthcare system's capacity. Within this model, it can be optimal to have two separate periods of locking down, so returning to a lockdown after initial restrictions have been lifted is not necessarily a sign of failure. Relatively small changes in judgments about how to balance health and economic harms can alter dramatically which strategy prevails. Indeed, there are constellations of parameters for which two or even three of these distinct strategies can all perform equally well for the same set of initial conditions; these correspond to so-called triple Skiba points. The performance of trajectories can be highly nonlinear in the state variables, such that for various times t , the optimal unemployment rate could be low, medium, or high, but not anywhere in between. These complex dynamics emerge naturally from modeling the COVID-19 epidemic and suggest a degree of humility in policy debates. Even people who share a common understanding of the problem's economics and epidemiology can prefer dramatically different policies. Conversely, favoring very different policies is not evident that there are fundamental disagreements.