Analysis of avian disease transmission risk and prevention measures in China

Many zoonotic diseases are found in wild animals and present a serious risk to human health, in particularly the virus carried by birds flying freely around the world is hard to control. There are three main bird migration routes which cover the most areas of China. It is important to investigate and fully understand the types of avian transmitted diseases in key areas on the bird migration routines and its impacts on both birds and human health. However, no literature is available in how about the risk of virus carried by migrating birds, and how to predict and reduce this risk of virus spreading to human being so far. In this paper, we first reviewed the main pathogen types carried by birds, including coronaviruses, influenza viruses, parasites, Newcastle disease virus (NDV), etc., and then discussed the spread risk of avian viruses to human being and animals in key areas of biosafety prevention. We also analyzed and discussed the risk of cross-spread of diseases among different bird species in nature reserves located on bird migration routes which provide sufficient food sources for migratory birds and attract numerous birds. Diseases transmitted by wild birds pose a serious threat to poultry farms, where high density of poultry may become avian influenza virus (AIV) reservoirs, cause a risk of avian influenza outbreaks. Airports are mostly built in suburban areas or remote areas with good ecological environment. There are important transit places for bird migration and densely populated areas, which have serious risk of disease transmission. Finally, this paper puts forward the following prevention suggestions from three aspects. First, establish and improve the monitoring and prediction mechanism of migratory birds, and use laser technology to prevent contact between wild birds and poultry. Second, examine and identify virus types carried by birds in their habitats and carry out vaccination. Third, protect the ecological environment of bird habitat, and keep wild birds in their natural habitat, so as to reduce the contact between wild birds and human and poultry, and thus reduce the risk of virus transmission.

A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality

The novel coronavirus (COVID-19) outbreak has impacted the aviation industry worldwide. Several restrictions and regulations have been implemented to prevent the virus's spread and maintain airport operations. To recover the trustworthiness of air travelers in the new normality, improving airport service quality (ASQ) is necessary, ultimately increasing passenger satisfaction in airports. This research focuses on the relationship between passenger satisfaction and the ASQ dimensions of airports in Thailand. A three-stage analysis model was conducted by integrating structural equation modeling, Bayesian networks, and artificial neural networks to identify critical ASQ dimensions that highly impact overall satisfaction. The findings reveal that airport facilities, wayfinding, and security are three dominant dimensions influencing overall passenger satisfaction. This insight could help airport managers and operators recover passenger satisfaction, increase trustworthiness, and maintain the efficiency of the airports in not only this severe crisis but also in the new normality.

Visualising the Optimistic, Realistic, and Pessimistic Financial Distress Outlooks for Airport Operations in Malaysia

This paper aims to visualise three financial distress outlooks using computer simulations. The financial distress exposure for airport operations in Malaysia between 1991 and 2021 is given by Altman Z”-score and modelled by the multivariate generalized linear model (MGLM). Seven determinants contributing to the financial distress from literature are examined. The determinant series are fitted individually by using linear model with time series components and autoregressive integrated moving average models to forecast values for the next 10 financial years. Future short- to long-term memory effects following COVID-19 are apparent in time series plots. In the simulations, the MGLM procedure utilised Gaussian, gamma, and Cauchy probability distributions associated with expectations and challenges of doing business as well as uncertainties in the economy. The underlying trends of realistic, optimistic, and pessimistic financial distress outlooks insinuate that the increasing risk of financial distress of airport operations in Malaysia is expected to continue for the next decade.

Research on Operating Efficiency of Civil Airports in China

In this paper, the DEA-Malmquist model is used to evaluate static and dynamic efficiency of 30 civil airports in China from 2016 to 2021. The developments of airports in different regions are discussed from these aspects: the impact of local government policies and COVID-19 on changes of airports' total factor productivity, and differences in operating efficiency of airports in different regions. The results show that: there are great differences in the operating efficiency of airports in China, and the low pure technical efficiency is the main reason leading to the low technological efficiency. The stagnation of total factor productivity of Chinese airports is mainly influenced by technological progress, and its negative effect drags down the stable technical efficiency and scale efficiency. There are obvious differences in operating efficiency among different regions. Airports in the Yangtze River Delta and Pearl River Delta have the highest efficiency, the Chengdu-Chongqing region has the fastest development, and the northeast region has the slowest development and the lowest operating efficiency. © 2022 ACM.

What is hidden in the luggage? First assessments of illegal seashells gathering in Sardinia (Italy)

Natural souvenirs collection has been identified as a driving force in biodiversity and habitat degradation of tropical marine ecosystems. This work considers this phenomenon in the Mediterranean region taking Sardinia (Italy), one of the most renowned tourism destinations, as a case study. The biological material seized at Cagliari-Elmas Airport (years 2019–2020: 138 kg) was analyzed: 199 taxa were identified, gastropods (112 species, 7866 pieces) and bivalves (63 species, 34,218 pieces) resulted the most represented classes. Twenty-two protected species were found in the tourists' luggage including Patella ferruginea and Pinna nobilis, the invertebrates most threatened with extinction in the Mediterranean Sea. This study demonstrates that the illegal collection of natural mementos is common in Sardinia, thus its relevance is not limited to tropical regions. Regulation, enforcement and compliance shortcomings emerged, highlighting the importance of strengthening stakeholders' collaboration for a deeper insight on this phenomenon and implementing effective conservation strategies.

The stochastic evolutionary game analysis of public prevention and control strategies in public health emergencies

PurposeThe COVID-19 epidemic is still spreading globally and will not be completely over in a short time. Wearing a mask is an effective means to combat the spread of COVID-19. However, whether the public wear a mask for epidemic prevention and control will be affected by stochastic factors such as vaccination, cultural differences and irrational emotions, which bring a high degree of uncertainty to the prevention and control of the epidemic. The purpose of this study is to explore and analyze the epidemic prevention and control strategies of the public in an uncertain environment.Design/methodology/approachBased on the stochastic evolutionary game model of the Moran process, the study discusses the epidemic prevention and control strategies of the public under the conditions of the dominance of stochastic factors, expected benefits and super-expected benefits.FindingsThe research shows that the strategic evolution of the public mainly depends on stochastic factors, cost-benefit and the number of the public. When the stochastic factors are dominant, the greater the perceived benefit, the lower the cost and the greater the penalty for not wearing masks, the public will choose to wear a mask. Under the dominance of expected benefits and super-expected benefits, when the number of the public is greater than a certain threshold, the mask-wearing strategy will become an evolutionary stable strategy. From the evolutionary process, the government's punishment measures will slow down the speed of the public choosing the strategy of not wearing masks. The speed of the public evolving to the stable strategy under the dominance of super-expected benefits is faster than that under the dominance of expected benefits.Practical implicationsThe study considers the impact of stochastic factors on public prevention and control strategies and provides decision-making support and theoretical guidance for the scientific prevention of the normalized public.Originality/valueTo the best of the authors' knowledge, no research has considered the impact of different stochastic interference intensities on public prevention and control strategies. Therefore, this paper can be seen as a valuable resource in this field.

A call for food system change

[...]the UK meets more of its food needs, the country risks having potentially counterfeit food imports and disrupted supply chains. The book describes relevant aspects of British food history, defines terms, lists foods imported and exported, measures freight shipped through UK airports, defines greenhouse gas emissions from livestock and crop production, documents food price trends, gives feed conversion rates for food animals, lists advertising spending by major food companies, explains water rights, and states how much land is owned by the British aristocracy, corporations, and Crown. Lang was a member of the EAT-Lancet Commission and he calls on the UK Government to adopt the Commission's Great Food Transformation recommendations to improve public health, the environment, food citizenship, wage scales, and democratic accountability, and to redistribute power in the food system.

Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry

The transportation industry is characterized as a capital-intensive industry that plays a crucial role in economic and social development, and the rapid expansion of this industry has led to serious environmental problems, which makes the eco-efficiency analysis of the transportation industry an important issue. Previous research paid little attention to the regulatory scenarios and suffered from the incomparability problem, hence this paper aims to reasonably estimate the eco-efficiency and identify its evolutionary characteristics. We measure the eco-efficiency and the corresponding global Malmquist–Luenberger productivity index using a modified model of the data envelopment analysis framework, in which different regulatory constraints are incorporated. Based on the empirical study on the transportation industry of thirty provinces in China, we find that the eco-efficiency of Chinese transportation industry experienced a slight increase during 2015–2016, a sharp decline during 2016–2017, and a continuous rise since year 2017. The Middle Yangtze River area was the best performer among the eight regions in terms of eco-efficiency, while the Southwest area was placed last. The global Malmquist–Luenberger productivity index showed an earlier increase and later decrease trend, which was quite consistent with the reality of the variation of inputs and outputs and the emergence of COVID-19. Moreover, the best practice gap change was found to be the main driven force of productivity. The empirical results verify the practicability of our measurement models and the conclusions can be adopted in guiding the formulation of corresponding policies and regulations.

Investigation of Employee Related Airport Ground Access Strategies from a Post-COVID Perspective

Until recently, addressing the environmental externalities associated with the use of the private car and single occupancy vehicles has been the focus of the airport ground access policies worldwide. However, with the emerging unprecedented challenges of the COVID-19 pandemic, which have already changed the way we live, work, and travel, encouraging a change in commuter behavior has become even more important. This has necessitated that existing strategies be reconsidered in favor of adapting to a highly uncertain ‘‘COVID-19 world.'' Historically, there has been a dearth of literature relating to airport employees' ground access even though as a group employees represent an important segment of airport users with complex access requirements. This paper therefore focuses on airport employee related airport ground access strategies considering an emerging understanding of the future impacts of COVID-19 on global air travel. Pre-COVID strategies are investigated by conducting a documentary analysis of the most recent ground access strategies of 27 UK airports. The findings reveal that airport ground access strategies were mainly focused on setting targets and producing policy measures in favor of reducing car use and increasing the use of more sustainable transport modes including public transport, car sharing, and active travel (walking, cycling). However, measures encouraging public transport and car sharing will be more difficult to implement because of social distancing and fear of proximity to others. Instead, initiatives encouraging remote working, active travel, and improved staff awareness will be at the forefront of the future ground access strategy development. © National Academy of Sciences: Transportation Research Board 2021.

The impact of security oversight on air cargo price and demand

This paper examines the effect of security oversight on air cargo price and demand. We exploit variations in security oversight instituted by the International Civil Aviation Organization (ICAO). We estimate a simultaneous equation model using proprietary operations data from a major airline in South Korea over the period 2009–2013. This study explores the shipping-charge behavior of a service provider through a modeling approach that considers air cargo security. Our findings show that security oversight increases air cargo demand, controlling for the effect of price. Improving security measures increases the air cargo price, but the magnitude of this increase is small. Our results should help policymakers gauge the benefit of improved security and help airlines design an effective model to determine future air cargo shipping charges under high uncertainty to mitigate short- and long-term financial risks.

Barriers and facilitators to COVID-19 screening at Jaipur International Airport, India.

Background: Airports pose a possible threat in facilitating global disease transmission within the community which may be prevented by rigorous systematic entry-exit screening. This study captures the perception of stakeholders on barriers and facilitators of coronavirus disease 2019 (COVID-19) screening. Further, key outcomes viz. total passengers screened, suspected cases, and confirmed cases were assessed. Methods: An inductive-deductive mix-method thematic analysis was conducted to capture qualitative data of key stakeholders on COVID-19 disease screening at Jaipur International Airport. Additionally, secondary data retrieved from Rajasthan Medical & Health Department team deployed for COVID-19 airport screening were analyzed. Results: Jaipur International Airport screened 4565 passengers (Males = 4073 and Females = 492) with 23 suspected cases during an outlined period of declaration of Pandemic to Lockdown in India (11 to 24 March 2020). Total 65 passengers had travel history from China (3 from Wuhan). The mean average age of passengers was 40.95 ± 7.8 years. The average screening time per passenger was 2-3 min with a load of 25-90 passengers per team per flight. Fishbone analysis of screening challenges revealed poor cooperation of passengers, masking symptoms, apprehension, and stigma related to quarantine. Moreover, inadequate human resources and changing guidelines overburdened healthcare providers. But, perception of risk, and social responsibility of travelers together with supportive organization behavior act as facilitators. Overall, groundwork on airport screening was insightful to propose key action areas for screening. Conclusions: Globally, COVID-19 has an impact on health infrastructure and international travel. International coordination with streamlined screening will go an extended way in virus containment.

Estimating the number of undetected COVID-19 cases among travellers from mainland China [version 1, peer review: awaiting peer review]

Background: Since the start of the COVID-19 epidemic in late 2019, there have been more than 152 affected regions and countries with over 110,000 confirmed cases outside mainland China. Methods: We analysed COVID-19 cases among travellers from mainland China to different regions and countries, comparing the region- and country-specific rates of detected and confirmed cases per flight volume to estimate the relative sensitivity of surveillance in different regions and countries. Results: Although travel restrictions from Wuhan City and other cities across China may have reduced the absolute number of travellers to and from China, we estimated that more than two thirds (70%, 95% CI: 54% - 80%, compared to Singapore;75%, 95% CI: 66% - 82%, compared to multiple countries) of cases exported from mainland China have remained undetected. Conclusions: These undetected cases potentially resulted in multiple chains of human-to-human transmission outside mainland China.

Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique

Nitrogen dioxide (NO2) air pollution provides valuable information for quantifying NOx (NOx = NO + NO2) emissions and exposures. This study presents a comprehensive method to estimate average tropospheric NO2 emission strengths derived from 4-year (May 2018–June 2022) TROPOspheric Monitoring Instrument (TROPOMI) observations by combining a wind-assigned anomaly approach and a machine learning (ML) method, the so-called gradient descent algorithm. This combined approach is firstly applied to the Saudi Arabian capital city of Riyadh, as a test site, and yields a total emission rate of 1.09×1026 molec. s-1. The ML-trained anomalies fit very well with the wind-assigned anomalies, with an R2 value of 1.0 and a slope of 0.99. Hotspots of NO2 emissions are apparent at several sites: over a cement plant and power plants as well as over areas along highways. Using the same approach, an emission rate of 1.99×1025 molec. s-1 is estimated in the Madrid metropolitan area, Spain. Both the estimate and spatial pattern are comparable with the Copernicus Atmosphere Monitoring Service (CAMS) inventory.Weekly variations in NO2 emission are highly related to anthropogenic activities, such as the transport sector. The NO2 emissions were reduced by 16 % at weekends in Riyadh, and high reductions were found near the city center and in areas along the highway. An average weekend reduction estimate of 28 % was found in Madrid. The regions with dominant sources are located in the east of Madrid, where residential areas and the Madrid-Barajas airport are located. Additionally, due to the COVID-19 lockdowns, the NO2 emissions decreased by 21 % in March–June 2020 in Riyadh compared with the same period in 2019. A much higher reduction (62 %) is estimated for Madrid, where a very strict lockdown policy was implemented. The high emission strengths during lockdown only persist in the residential areas, and they cover smaller areas on weekdays compared with weekends. The spatial patterns of NO2 emission strengths during lockdown are similar to those observed at weekends in both cities. Although our analysis is limited to two cities as test examples, the method has proven to provide reliable and consistent results. It is expected to be suitable for other trace gases and other target regions. However, it might become challenging in some areas with complicated emission sources and topography, and specific NO2 decay times in different regions and seasons should be taken into account. These impacting factors should be considered in the future model to further reduce the uncertainty budget.

House prices, airport location proximity, air traffic volume and the COVID-19 effect

Although house prices and airports are influenced by distinct factors that shape their evolutions, they are also intrinsically connected through the natural and built environment. Standard theory suggests that air-traffic noise and proximity to key economic hubs such as airports are of prime importance to house prices and the housing market. This study contributes to understanding the link between the housing market, airport location proximity and air traffic. The research investigates this association across four key urban areas within New Zealand proximal to an international airport: Auckland, Wellington, Christchurch and Queenstown. Applying a generalized least squares (GLS) regression approach, the analysis reveals that house prices, air-traffic activity and proximity to airports within New Zealand demonstrate a statistically significant effect, and that air traffic volume has a positive effect on house prices. Moreover, the findings reveal a ‘U'-shape relationship between distance to the airport and house prices, suggesting that airport noise and pollution adversely affect house prices, with this effect diminishing with distance, indicating that economic influences and employment may also serve as a positive externality. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Evaluation of Temporary COVID-19 Testing Sites at Brussels Airport, Belgium: Users' Comfort and Privacy

This paper explored the temporary facilities created during the pandemic for use as COVID-19 test centers at Zaventem Airport, the main airport for the city of Brussels, Belgium. The possibilities of modular construction technology and the impact of the building envelope on users' perception of indoor space comfort and privacy were closely observed. The three main problem statements were as follows: (1) the COVID-19 crisis indirectly influenced the creation of temporary modular buildings with glass envelopes;(2) the modular envelope is adaptable to the existing context;and (3) the envelope meets the needs of the users. This study's objectives were to identify the critical factors for users' well-being in temporary modular buildings, and to conduct factor comparisons among different users and between different building-enclosure systems. The study data were collected through a subjective assessment using a SWOT analysis and a survey questionnaire. The glass facade affected the users' acceptance levels of comfort and privacy. The main results show that the users were satisfied with the level of comfort and dissatisfied with the level of privacy. This information can be used to identify areas for improvement and provide useful feedback to designers and engineers about specific design features and operating strategies for temporary modular emergency healthcare buildings.

Les participations financières de l'État et la crise du Covid-19

La crise sanitaire du Covid-19 s'est rapidement transformée en une crise financière qui a des répercussions sur la politique actionnariale de l'État. Certaines cessions ont été reportées ;des prises de participations ou des augmentations de capital dans des entreprises en difficultés sont envisagées. Cette politique devra donc être repensée par le biais du compte d'affectation spéciale « Participations financières de l'État ».Alternate : The Covid-19 sanitary crisis rapidly turned into a financial crisis having negative effects on the government's shareholder policy. Some divestments were postponed and acquisitions or capital increases in firms facing difficulties are being considered. This policy will therefore need to be given extra thought via the "State holdings” special purposes account.

COVID-19 cases reported in Colorado following screening at selected US airports, January - July 2020.

OBJECTIVE: We sought to estimate the proportion of air travelers who may have been infected with SARS-CoV-2 upon arrival to Colorado by comparing data on Colorado residents screened upon entering the US to COVID-19 cases reported in the state. Data on Colorado's screened passengers arriving into the US between January 17 and July 30, 2020 were compared to Colorado's Electronic Disease Reporting System. We conducted a descriptive analysis of true matches, including age, gender, case status, symptom status, time from arrival to symptom onset (days), and time from arrival to specimen collection date (days). RESULTS: Fourteen confirmed COVID-19 cases in travelers who were diagnosed within 14 days after arriving in Colorado were matched to the 8,272 travelers who underwent screening at 15 designated airports with a recorded destination of Colorado, or 0.2%. Most (N = 13/14 or 93%) of these infected travelers arrived in Colorado in March 2020; 12 (86%) of them were symptomatic. Entry screening for COVID-19 and the sharing of traveler information with the Colorado Department of Public Health and Environment appeared to identify few cases early in the pandemic. Symptom-based entry screening and sharing of traveler information was minimally effective at decreasing travel-associated COVID-19 transmission.

Ethical-decision making of ‘Flights to Nowhere' passengers in the COVID-19 and climate change era

With international travel halting as a result of the outbreak of COVID-19, several airlines sought to offer Flights to Nowhere as a way to generate revenue and keep their aircrafts flight-ready. Flights to Nowhere are sightseeing flights that start and finish at the same airport without landing elsewhere. These flights have been heavily criticized for creating unnecessary greenhouse gas emissions. This research explores the ethical decision-making process and the subsequent rationalization of taking Flights to Nowhere. Using cognitive dissonance theory and neutralization techniques, we analyse in-depth interviews with passengers that have recently taken a Flight to Nowhere. Passengers did not immediately make the connection between Flights to Nowhere and climate change but on reflection, they justified these flights using a range of neutralization techniques including an appeal to higher loyalties, denial of injury, and justification by comparison.

THE DYNAMICS OF THE AIR TRANSPORT DEVELOPMENT IN THE WARMIA AND MAZURY REGION

Motives: Regional passenger airports are an important component of a developed transportation system that reflects the broader development of the region and the country. Due to the small number of studies examining air transport at the regional micro-scale, it is important to carry out a diagnostic of this mode of transport to determine the possibility of regional development. The article presents the reasons for the creation, stages of construction and transformation of selected airports of northeastern Poland. Aim: The main aim of the study was to determine the impact of the COVID-19 pandemic on the dynamics of air transport development in the area of northeastern Poland. The entire air transport system in the region was analyzed with a detailed inventory of the largest airport Olsztyn-Mazury. Results: As a result of the study, data on the number of passengers and directions of travel for the past six years were compared. It was determined that Olsztyn-Mazury Airport has a significant development potential, providing an opportunity to rebuild passenger air traffic in Warmia and Mazury hampered by the effects of the COVID-19 virus pandemic. © Copyright by Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie.

Preventive wildlife strike strategy implemented at the airports operated by Fraport Greece during the COVID-19 pandemic

Any collision between wildlife (including birds) with an aircraft is known as a wildlife strike. Most of the time such a strike has no operational impact but occasionally it could result in delays because of a technical check or even cause damage to aircraft. The COVID-19 pandemic severely affected Europe's transport sector. Air connectivity collapsed worldwide and the demand on the airports operated by Fraport Greece (FG) decreased significantly during the pandemic years (2020–21). With less air traffic and more stay-home orders, a variety of bird species were attracted to the green, quieter areas of the airports. The European Aviation Safety Agency (EASA) issued warnings concerning the increased presence of wildlife hazards in European airports. This case study aims to communicate to the aviation industry the wildlife strike prevention strategy implemented at the airports operated by FG during the pandemic years. The fundamentals of wildlife management, airport ecology, flight safety and sustainability are presented in a structured way to provide the reader with many relevant messages. The management implications, together with the best practices of this preventive wildlife strike strategy, are discussed for their possible wider use in the aviation industry. [ABSTRACT FROM AUTHOR] Copyright of Journal of Airport Management is the property of Henry Stewart Publications LLP and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)