Africa's Air Transport Infrastructure: Challenges, Complexities and Opportunities

African aviation has witnessed steady growth pre-COVID and as result of increased demand for air travel, there is an urgent need to improve the air transport infrastructure. This chapter examines the underlining complexities and challenges that are undermining the African region's propensity to exploit its growth trajectory. The chapter explores multiple differences in regional airport infrastructure. Infrastructure is considered a key component of the investment climate, reducing costs of doing business and enabling people to access markets. In general, Africa, by every measure of infrastructure coverage, lags behind their peers in other parts of the developing world. Poor infrastructure of most African airports is seen as a principal reason why the region continues to struggle to fulfil its undoubtedly economic potential. These infrastructure problems can hardly be solved due to limited financial resources and will therefore consequently lead to retaining infrastructure problems. The chapter proposes a series of blueprint measures in order to galvanize Africa's growth potential within air transport development. This calls for speeding up privatization and allowing more private equity investments to support air infrastructure improvements. The most desired option to finance airport infrastructure would be the Public–Private Partnership (PP). However, on the local level, banks have relative weak capital coffers, which also limit access to infrastructure capital loans. Investors see some underlining risks in financing airport projects in Africa, namely uncertainty related to forecasts of passenger growth numbers. Other risks are embedded in currency markets, whereby most domestic airport infrastructure with project revenues is generated in local currencies, but servicing foreign debt and equity involves payment in foreign currency. The chapter finally examines the impact of COVID-19 on airport operations. From 2019 to 2021, airports were severely affected by the global pandemic causing massive loss of revenues for both airport operators and airlines. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

IMPLICATIONS OF POTENTIAL NEW REGULATORY MEASURES TO ADDRESS AVIATION EMISSIONS

This work is an analysis of the implications of the potential new regulatory policies being recently proposed in the European Union, in particular the mandatory blending of SAF (on top of the already existing CORSIA or ETS), to address aviation emissions from a technical, operational and economic perspective. As a continuation of previous work from the Department of Aerospace Systems, Air Transport and Airports from the ETSIAE (Universidad Politécnica de Madrid), the air traffic structure of the European Union in 2019 has been analysed based on publicly available data from EUROCONTROL and EUROSTAT. The output has been used as the reference scenario for the implementation of the mandatory blending of SAF, expected to take over at the beginning of 2025, since it is expected that by then, air traffic will reach the pre-COVID levels. The results show that all the policy options considered so far have uneven impact among the different stakeholders and that before deciding going forward with any of the presented options, extra work needs to be done to overcome the different challenges that would potentially arise. © 2022 ICAS. All Rights Reserved.

Impact Assessment of The Covid-19 Pandemic on Service Performance of Sofia Airport

The main objective of the research presented in the paper is to examine the impact of the COVID pandemic on the volume of passenger and freight traffic and the quality of the services provided by Sofia Airport, as well as to examine the factors influencing the demand for air freight transport and the extent of their impact. The authors focus on using two approaches, namely SERVPERF and SERVQUAL, in studying factors influencing the demand for transport. The study analyses a system of indicators with independent influences on the demand for air transport, but they are all related to the development of macroeconomic indicators at the national level under the influence of the COVID pandemic. The study of the impact of the pandemic on the service performance and quality of services provided by Sofia Airport allows us to predict the volume of transport activity and to plan the activities of airlines and ground operators, their transport capacity, as well as the need for adopting measures for recovery of the airport from the negative impacts of the pandemic and the necessary investments in airport facilities. The authors argue that evaluating the service performance and the quality of services could contribute to developing appropriate measures for recovery. They summarized appropriate measures based on the leading quality indicators for air transport services.

The COVID-19 impacts on air transport – a case study of Hong Kong

The COVID-19 pandemic has hit the transport industry across the world since February 2020. Using data from the Hong Kong International Airport, we obtained seasonal autoregressive integrated moving average models for passenger movements and air cargo for 2005–2019. The COVID-19 impacts on passenger movements and air cargo were estimated based on differences between the predicted and actual monthly values in 2020. We found that the total number of passenger movements dropped by 86.2% while the total volume of air cargo dropped by 6% in 2020. Additionally, the GHG emission due to the use of aviation kerosene was 10.5 Mt of CO2-eq in 2020;down from 20.8 Mt of CO2-eq in 2019 (i.e., a drop of 49.5%). We also found the significant improvement of visibility at the airport – a rare upside of the COVID-19 pandemic. The COVID-19 pandemic has led to high unemployment rate in the transport and tourism-related sectors and has a negative economic impact on the aviation sector. Copyright © 2023 Inderscience Enterprises Ltd.

COVID-19 pandemic impact on the efficiency of Brazilian airports: application of data envelopment analysis and tobit regression

The air transport sector is characterized by big volumes of passengers transported globaly. These transports, interconnecting geographically diverse localities, turn this modal into a potencial disseminator of infectious diseases in general. With the Covid-19 pandemic, governments and airports all over the world have implemented restrictive measures on airport operations, in a attempt to mitigate this dissemination potencial, resulting in negative impacts on the operating results of these airports. This work aims to analyze the impact of the Covid-19 pandemic on the efficiency values of 17 Brazilian airports, and also the influence of different factors on these efficiencies. The methodology took place in two stages, with the application of Data Envelopment Analysis (DEA), to obtain the efficiency scores, followed by tobit regression to identify and analyze the influence exerted by different factors on these efficiencies. Data from 2010 to 2020 were used. The results showed that there was no significant reduction in efficiency scores of these airports, due to the Covid-19 pandemic. The models obtained with the tobit regression showed a positive influence of GDP per capita on airport efficiency values, and expressed the statistical insignificance of the influence of privatization on these values.

Fit for 55-Does It Fit All? Air and Rail Transport after Covid-19 Pandemic

The main principle of sustainability means being able to meet the needs of today's society without compromising the ability of future generations to meet their own needs. Sustainable development implies the interdependence of its main components: society, economy, and ecology. The prosperity of a society depends on economic progress and the development of new technologies, but in a way that the natural environment is protected and preserved. This concept is inextricably linked to the concept of ecology and, consequently, to all types of transport, given that transport is considered one of the main pollutants of the ecosystem. Due to its rapid development through history, and as the youngest and safest type of transport, air transport is particularly subjected to the environmental impact assessment. At the same time, air transport affects the global economy due to its connection with other sectors, which in turn enables faster mobility of people, services, and goods. This was especially evident with the increased need for faster medical supplies and protective equipment delivery during the COVID-19 pandemic. The European Union's transport policy is geared towards sustainable development by linking all environmental and social goals in a balanced way. Considering the negative long-term impact of COVID-19 on the air transportation sector, the question posed in this paper is whether this can be done in an appropriate way. As part of the European Green Deal, the "Fit for 55" package is a set of proposals to revise and update EU legislation with the purpose of introducing new initiatives regarding the climate goals agreed by the Council and the European Parliament. Regarding air transport, the emphasis is on contributing to reducing CO2 emissions and noise pollution and their impact on other sectors and competitiveness. The EU Commission White Paper: "Roadmap to a Single European Transport Area - Towards a competitive and resource efficient transport system" emphasizes that the EU aviation industry should become a frontrunner in the use of low-carbon fuels to reach the set targets, as well as that the majority of medium-distance passenger transport should go by rail by 2050. There are also initiatives that aviation taxes should subsidize high-speed rail (HSR), which potentially may cause a decrease in the air transport and benefit an increase the rail transport. The paper will also address the questions as to whether existing legislation, measures, and proposals are appropriate, considering that aviation is one of the industry sectors that is most affected by COVID-19 and could be most affected by the "Fit for 55" package, as well what impact this duopoly might have on the market for travel served by air transport. Does really "Fit for 55" fit air transport?

Impact of COVID-19 restrictions on South African air transport and tourism indicators

Background: Air travel restrictions to prevent the spread of coronavirus disease 2019 (COVID-19) impacted air travel to and from and within South Africa significantly. The duration of the pandemic was more protracted than initially expected as new variants of the pandemic (in ‘waves') resulted in additional restrictions. Objectives: To determine the nature of COVID-19-related air travel restrictions, their impact on annual passenger demand, the number of flights operated (supply of services), the related average passenger loads carried as well as on tourism indicators of the direct contribution of travel and tourism, the total contribution to Gross Domestic Product (GDP) and employment. Method: The study identifies the number of passengers carried and flights operated and calculates the average passenger load per flight and trends. The impact on tourism indicators is based on the unit values of metrics published by the World Travel and Tourism Council for the 2019 calendar year, adapted for the reduction in passengers in the first and second years following the COVID-19 lockdown. Results: Significant decreases in the annual number of passengers carried, flights operated (in the three geographic areas), and their impact on tourism and employment indicators were identified. Conclusion: The decline in passengers exceeded the decrease in flights operated, which resulted in a decline in the average load of passengers carried per flight. The significance of COVID-19 restrictions on tourism indicators and employment was also calculated. Contribution: The study identifies the impact of COVID-19 air travel restrictions on both air transport and tourism indicators for South Africa.

Airline flight delays using artificial intelligence in COVID-19 with perspective analytics

This study envisages assessing the effects of the COVID-19 on the on-time performance of US-airlines industry in the disrupted situations. The deep learning techniques used are neural network regression, decision forest regression, boosted decision tree regression and multi class logistic regression. The best technique is identified. In the perspective data analytics, it is suggested what the airlines should do for the on-time performance in the disrupted situation. The performances of all the methods are satisfactory. The coefficient of determination for the neural network regression is 0.86 and for decision forest regression is 0.85, respectively. The coefficient of determination for the boosted decision tree is 0.870984. Thus boosted decision tree regression is better. Multi class logistic regression gives an overall accuracy and precision of 98.4%. Recalling/remembering performance is 99%. Thus multi class logistic regression is the best model for prediction of flight delays in the COVID-19. The confusion matrix for the multi class logistic regression shows that 87.2% flights actually not delayed are predicted not delayed. The flights actually not delayed but wrongly predicted delayed are12.7%. The strength of relation with departure delay, carrier delay, late aircraft delay, weather delay and NAS delay, are 94%, 53%, 35%, 21%, and 14%, respectively. There is a weak negative relation (almost unrelated) with the air time and arrival delay. Security delay and arrival delay are also almost unrelated with strength of 1% relationship. Based on these diagnostic analytics, it is recommended as perspective to take due care reducing departure delay, carrier delay, Late aircraft delay, weather delay and Nas delay, respectively, considerably with effect of 94%, 53%, 35%, 21%, and 14% in disrupted situations. The proposed models have MAE of 2% for Neural Network Regression, Decision Forest Regression, Boosted Decision Tree Regression, respectively, and, RMSE approximately, 11%, 12%, 11%, respectively. [ FROM AUTHOR] Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Emergency Air Transport of Patients with Acute Chest Pain in the Adriatic Islands of Croatia: A Four-Year Analysis.

BACKGROUND: An efficient first-aid system usually supports ground services with a helicopter emergency medical service (HEMS). An HEMS is important for patients with acute chest pain on remote islands. The current study sought to identify the characteristics of HEMS in acute chest pain cases on the Croatian Adriatic islands over a four-year period. METHODS: We conducted a four-year observational study to investigate HEMS from Adriatic islands. The study population consisted of all patients with acute coronary syndrome or pulmonary embolisms who were urgently transferred by HEMS to the University Hospital in Split 1 June 2018-1 June 2022. RESULTS: During the observation period, 222 adult patients (67 females, or 30.2%) were urgently transferred. The mean age was 71.81 ± 13.42 years. The most common diagnosis was ST-elevated myocardial infarction (113, 50.9%). Most of the HEMS cases were from Hvar (91, 41.0%). The mean call-to-flight time was 19.10 ± 10.94 min, and the total time from call to hospital was 68.50 ± 22.29 min. The total time from call to hospital was significantly correlated with call-to-flight time (r = 0.761, P < 0.001). Of the 222 participants, 5 (2.25%) were transported for more than 120 min, and 35 (15.8%) were transported for more than 90 min. CONCLUSION: This study provided a detailed insight into HEMS in the area of the Croatian Adriatic islands. The average time from the call to the helicopter taking off was 19.10 min. An increase in dispatching time has a significant impact on the prolongation of the total time for the hospital admission. Shortening the response time is critical to reducing hospital arrival time.

AIR PASSENGER RIGHTS IN TIMES OF PANDEMIC BETWEEN EXTRAORDINARY CANCELLATIONS, DENIED REIMBURSEMENTS AND FORCED VOUCHERS

The Covid-19 pandemic has taken its toll on air transport, forcing many airlines to cancel flights as a result of the restrictive measures adopted by the authorities or due to other reasons related to the emergency. The remedies, stemming from EU law, of ticket refunds and compensation for damages may expose carriers to serious liquidity crises and bankruptcy. The aim of this article is to discuss the opportunity to provide for compulsory vouchers in lieu of immediate reimbursement, which passengers could not refuse on condition that they have a reasonable content, with a view to enhancing competition in the European air transport market. © 2022 Ibero-American Law Institute. All rights reserved.

Measuring Evidence Affecting the Financial Stability of Airport Operations in Malaysia

The indicator of bankruptcy exposure for airport operations in Malaysia is calculated by using Altman's Z'-score. Financial and non-financial attributes related to the bankruptcy exposure show multicollinearity, and the redundant information was identified and removed. The common period for the variables is from 1999-2021, which includes the period of COVID-19 pandemic. Models with a combination of financial and non-financial attributes further reduce the deviation between the estimated standard deviation of the residuals and the marginal standard deviation of the bankruptcy risk in comparison to models without the combination. The best model provides improvements in terms of the mean of the absolute errors (MAE), mean of absolute percentage errors (MAPE), and mean absolute scaled errors (MASE). Furthermore, all determinants in the best model are statistically significant. We suggest that the opportunity for optimisation, including total movements of passenger, cargo and mail, could reduce the company's bankruptcy exposure. Findings indicate that reducing the financial leverage could improve the financial distress risk while liquidity, net operating margin, and asset turnover are positively contributed to the financial stability of the largest airport operator in Malaysia. If the marginal average of annual exposures to bankruptcy of 4.04% continues linearly into the future, the company is expected to transition from being financially stable to experiencing financial distress in 2030. © 2022 IEEE.

On Airport Time Slot Auctions: A Market Design Complying with the IATA Scheduling Guidelines

The growth in air traffic (before the Covid-19 pandemic) made airport time slots an increasingly scarce resource (and it is believed that this growth will continue after recovery). It is widely acknowledged that the grandfathering schemes used nowadays lead to inefficient allocations and that auctions would be a means to allocate valuable airport time slots efficiently. It has, however, also been pointed out that the design of such slot auctions is challenging due to the various constraints that need to be considered. The present paper proposes a market design for the sales of airport time slots at EU airports that complies with the Worldwide Scheduling Guidelines of the International Air Transport Association (IATA), most notably the reference value systems at level 3 airports. These guidelines need to be considered but lead to significant additional complexity in the market design. Capacity constraints are defined for overlapping time windows, which render the maximum welfare flight scheduling problem NP-hard. Auction formats with good incentive properties such as the Vickrey-Clarke-Groves mechanism or core-selecting auctions require an exact solution to the allocation problem. Given its hardness, it is far from obvious that the allocation problem can be solved to optimality sufficiently fast for practically relevant sizes of real-world problems. We introduce a mathematical model formulation for the maximum welfare flight scheduling problem that complies with all specified IATA constraints and evaluate it on near real-world data sets of flight requests for a full season of a major international airport. We show that the allocation can be computed within minutes and that all the payment computations for the winners can be done in less than two hours on average for realistic problem sizes. The consideration of values of airlines within the proposed auction mechanism leads to significant welfare gains of more than 35% as compared with benchmarks resulting from different standard objectives. These include the maximization of the number of movements, the minimization of the number of movements for which deviations from requested times occur, and the minimization of the total deviation of scheduled from requested times. Whereas the results indicate that auctions can be solved quickly for realistic problem sizes and promise significant welfare gains under the standard independent private values assumptions, the implementation of auctions in the field leads to additional serious challenges. For example, the regulator might have to impose allocation constraints to mitigate the market power of incumbent airlines. In addition, the valuation of slots and the interdependencies of the slot assignment with those at other coordinated airports need careful attention. Copyright: © 2022 INFORMS.

Airline revenue planning and the COVID-19 pandemic. (Special Issue: The re-imagination of New Zealand tourism.)

Purpose: The static world of flight scheduling where schedules rarely change once published is becoming more responsive with schedule change updates leading up to the departure date due to demand volatility and unpredictable demand patterns. Innovation in cash flow generation will take center stage to operate the business in these uncertain times. Forecasting demand for future flights is a challenge since historical demand patterns are not meaningful which requires a new adaptive robust revenue management approach that monitors key metrics, detects anomalies and quickly takes corrective action when performance targets cannot be achieved. Design/methodology/approach: The novel COVID-19 pandemic decimated the travel industry in 2020 and continues to plague us with no end in sight. With the steep drop in revenues, airlines need to adapt to a new marketing planning process of scheduling, pricing and revenue management that is more nimble to adapt quickly to changing market conditions. This new approach will continue to be relevant in a post-COVID-19 world during and after economic recovery. Findings: A methodology for airline revenue planning: scheduling, airline pricing and revenue management, has been proposed that will also work in a post-COVID-19 era. Research limitations/implications: The limitation of the proposed model is that it needs to be applied in practice to determine the true benefits of this novel approach to airline revenue planning. Practical implications: Flight scheduling will rely more on clean sheet scheduling, schedule revisions and close in refleeting to better match demand to supply. The office of the chief financial officer will have a permanent task force to monitor cash flow and come up with innovative solutions to generate cash flow for liquidity. Adaptive robust revenue management workflows will be integrated into traditional revenue management workflows in the future for competitive advantage. Social implications: In a post-COVID-19 world it is anticipated that airline business processes will transform to be nimbler and more proactive in making timely decisions at a greater velocity. Originality/value: The approach to airline revenue planning for scheduling, pricing and revenue management is a new business process that does not exist today at scale in the airline industry.

PROBLEMS RAISED BY CLAIMS AGAINST AESA: SPECIAL REFERENCE TO THEIR LEGAL NATURE AND CHALLENGE

This article focuses its attention on the problems posed by the resolution extrajudicial conflicts in air transport since Law 7/2017 was approved, as well as on the introduction of the procedural requirement introduced by the Draft Law on Procedural Efficiency Measures to the Public Service of Justice, when they intend to take legal action through the channels of oral proceedings under the protection of national and international transport regulations. Likewise, reference is made to the (pseudo) administrative nature of the claim initiated by a passenger against AESA, to the attribution of jurisdiction to the contentious-administrative order by the Draft Ministerial Order and its subsequent attribution to the competent commercial court, through Law 3/2020, on procedural and organizational measures to deal with COVID-19 in the field of the Administration of Justice. © 2022 Ibero-American Law Institute. All rights reserved.

The state of Africa's air transport market amid COVID-19, and forecasts for recovery.

The COVID-19 pandemic has raised air transport stakeholders' concerns about the state of the market, the potential timing of recovery, and recouping long-haul traffic. Passengers' travel confidence must be restored, and air travel safety awareness raised. This paper estimates the immediate and long-term effects of COVID-19 on air transport markets and forecasts timescales for recovery of the markets for domestic and international flights in nine African countries. Intervention analysis and SARIMAX are employed for the analysis, using monthly time-series data from August 2003 to December 2021. The empirical results show that air transport is significantly elastic to the pandemic. It is forecast that air transport recovery may take around 28 months for domestic flights and 34 months for international flights, starting from 2020. The simulation analysis suggests that passenger flights may rebound to pre-crisis levels between 2022 and 2023. In general, the pandemic-induced fluctuations in the aviation market and the nature of the rebound may be considered to be part of a cyclical process rather than a structural change.

Turbulent skies ahead? Pandemic related workforce issues in air transportation

This short topical issues paper focuses on the workforce issues facing the air transport industry in the post-pandemic landscape. We consider the extent of vaccine mandates and whether these mandates will introduce workforce issues for the global air transportation industry. Then we explore the extent of virus exposure and associated workforce disruptions due to sick calls and associated quarantine guidelines. We argue that vaccine mandates will have a limited impact on air transport in the near term but do not likely have an impact on the long-term workforce shortages expected in the industry. Conversely, employee illness will have a more significant impact in the near and long-term as variants spread and airline scheduling adjusts both tactically and operationally. As aviation rebounds after the pandemic, there have been additional challenges due to workforce shortages. These shortages affect aircrew as well as ground handlers, security agents and other airport workers. Ultimately, policymakers and airlines around the globe should carefully consider the impact of policies and the mechanisms to encourage employees to protect themselves against the COVID-19 virus and future variants, with consideration of the impacts during recovery as well as during the pandemic. © 2022 Elsevier Ltd

An emissions inventory using flight information reveals the long-term changes of aviation CO2 emissions in China

The low-carbon development of air transport industry is of great significance for China to achieve the commitment of carbon peak and carbon neutrality goals. In order to improve the basic data of aviation CO2 emissions, this study continuously collected full flight information in China from January 2017 to December 2020, and established a flight information database and an aircraft-engine parameter database. On the basis of IPCC's Tier 3B accounting method, this study established a long-term aviation CO2 emissions inventory of China from 2017 to 2020 by calculating and accumulating CO2 emissions of each flight. And aviation CO2 emissions of various provinces and cities in China were calculated combined with spatial allocation method. The results showed that aviation CO2 emissions in China was 104.1, 120.1, 136.9, and 88.3 Mt in 2017, 2018, 2019, and 2020, respectively, with annual growth rates of 15.4%, 14.0%, and −35.3% in 2018, 2019, and 2020, respectively. Affected by the COVID-19 pandemic, aviation CO2 emissions in all 31 provinces and 93% of cities decreased in 2020 compared with 2019. China is in the stage of rapid development of air transport industry, and aviation fossil energy consumption and CO2 emissions have continued to grow in recent years. © 2022 Elsevier Ltd

A review of air travel behavior and climate change

Air transport challenges the world's net-zero carbon ambitions. The sector has consistently grown and causes warming as a result of both CO2 and other, short-lived emissions. Two principal solutions have been proposed to reduce the contribution of aviation to climate change: innovations of technology and the development of interventions to trigger behavioral change. Technological innovations include new propulsion technologies and the use of sustainable aviation fuels. Behavioral change includes flight avoidance, substitution with other means of transport, the choice of efficient flight options, and carbon offsetting. This article focuses on behavior;it offers an overview of factors that lead to consumers traveling by air and discusses demand distribution complexities. The importance of price for air travel decisions is assessed, and evidence of travel "wants” are contrasted with "needs,” the latter investigated in light of the COVID-19 pandemic. The review of relevant scholarly work culminates in an action list enabling air travelers, policy makers, the aviation industry, researchers and society to meaningfully advance low-carbon air transport trajectories. This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior. © 2022 The Authors. WIREs Climate Change published by Wiley Periodicals LLC.

Measuring landing independence and interactions using statistical physics

Benchmarking different aspects of air transport, and especially airport operations, is a research topic both important and complex, as proposed solutions are usually limited by data availability and underlying hypotheses. We here propose the use of two well-known statistical physics concepts, the Hurst exponent and the irreversibility, to measure the presence of interactions between landing flights from a macro-scale perspective. We firstly present a synthetic model of landings at an airport, showing how the two metrics are able to detect interactions arising from high volumes of traffic. Real landing data for twelve major European airports and ten Chinese ones are then analysed, showing that more interactions are present than what expected for the corresponding traffic. Results are nevertheless not homogeneous, with some airports (most notably Milano Malpensa, Madrid and Paris Charles de Gaulle) yielding statistically significant high values;and with Frankfurt airport having been especially impacted by the COVID-19 pandemics, which resulted in an increase in interactions in spite of a reduction in traffic. Some possible reasons behind these results, and their operational significance in terms of efficiency and safety, are finally discussed. • We characterise landing interactions using the Hurst exponent and the irreversibility. • Airports can be characterised according to the interactions between landing aircraft. • Most airports present a clear drop in complexity following March 2020. • Frankfurt airport is the exception, possibly due to changes in traffic patterns. [ FROM AUTHOR]

["Management of nurses specialized in the aero-evacuation of highly infectious critical patients, during the COVID-19 pandemic. Systematic review."] / "Gestión de enfermeras/os especializados en la aeroevacuación de pacientes críticos altamente infecciosos, durante la pandemia por COVID-19. Revisión Sistemática.".

INTRODUCTION: Aeromedical evacuation missions to transport highly infectious critical COVID-19 patients involve multiple factors, therefore planning is essential in their preparation. The management of specialist nurses is cross-cutting, as they participate in the planning, organisation and implementation of aero-evacuation protocols, delivery of care and operational safety procedures throughout the operation, with an integrated aeromedical crew working as a team alongside the air crew. OBJECTIVE: To study the management of nurses specialised in the aero-evacuation of highly infectious critical patients during the COVID-19 pandemic. DESIGN: Through a systematic search of the biomedical literature, this study was conducted according to the standards of the Cochrane Handbook for Systematic Reviews of Interventions and PRISMA. The literature search included articles published from 2019 to August 2020 and meta-search engines, yielding a total of 142 articles, and a triangulation of information was performed. A total of 11 articles were eventually included in the review, and the validity of each article was determined according to the guidelines of the Joanna Briggs Institute level of evidence. RESULTS AND DISCUSSION: The systematic review identified 11 studies that use different methodological considerations for conducting an aeromedical evacuation and covering key aspects for a successful operation. CONCLUSION: The management of specialist nurses has a direct impact on the aeromedical evacuation of the critical patient. It covers planning, organisation, and operational safety, applied in the instruction, training, execution and strict monitoring of the work of the aeromedical crew as a solid team. This contributes to the success of the aero-evacuation mission and the infectious patient's high likelihood of survival during the COVID-19 pandemic.