scholarly journals Evaluating Classical Airplane Boarding Methods Considering COVID-19 Flying Restrictions

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1087 ◽  
Author(s):  
Liviu-Adrian Cotfas ◽  
Camelia Delcea ◽  
R. John Milne ◽  
Mostafa Salari
Keyword(s):  
Health Risk ◽  
Health Risks ◽  
Social Distance ◽  
The Novel ◽  
Zone Method ◽  
Economic Productivity ◽  
Social Distancing ◽  
The Social ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus (SARS-CoV-2) has imposed the need for a series of social distancing restrictions worldwide to mitigate the scourge of the COVID-19 pandemic. This applies to many domains, including airplane boarding and seat assignments. As airlines are considering their passengers’ safety during the pandemic, boarding methods should be evaluated both in terms of social distancing norms and the resulting efficiency for the airlines. The present paper analyzes the impact of a series of restrictions that have been imposed or mooted worldwide on the boarding methods used by the airlines, featuring the use of jet-bridges and one-door boarding. To compare the efficacy of classical airplane boarding methods with respect to new social distancing norms, five metrics were used to evaluate their performance. One metric is the time to complete the boarding of the airplane. The other four metrics concern passenger health and reflect the potential exposure to the virus from other passengers through the air and surfaces (e.g., headrests and luggage) touched by passengers. We use the simulation platform in NetLogo to test six common boarding methods under various conditions. The back-to-front by row boarding method results in the longest time to complete boarding but has the advantage of providing the lowest health risk for two metrics. Those two metrics are based on passengers potentially infecting those passengers previously seated in the rows they traverse. Interestingly, those two risks are reduced for most boarding methods when the social distance between adjacent passengers advancing down the aisle is increased, thus indicating an unanticipated benefit stemming from this form of social distancing. The modified reverse pyramid by half zone method provides the shortest time to the completing boarding of the airplane and—along with the WilMA boarding method—provides the lowest health risk stemming from potential infection resulting from seat interferences. Airlines have the difficult task of making tradeoffs between economic productivity and the resulting impact on various health risks.

scholarly journals Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
F. Nyabadza ◽  
F. Chirove ◽  
C. W. Chukwu ◽  
M. V. Visaya
Keyword(s):  
South Africa ◽  
Deterministic Model ◽  
Cumulative Number ◽  
The Novel ◽  
Social Distancing ◽  
The Social ◽  
Potential Impact ◽  
Policy Direction ◽  
Novel Coronavirus ◽  
The Impact

The novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in South Africa. With the global spread increasing and infecting millions, containment efforts by countries have largely focused on lockdowns and social distancing to minimise contact between persons. Social distancing has been touted as the best form of response in managing a rapid increase in the number of infected cases. In this paper, we present a deterministic model to describe the impact of social distancing on the transmission dynamics of COVID-19 in South Africa. The model is fitted to data from March 5 to April 13, 2020, on the cumulative number of infected cases, and a scenario analysis on different levels of social distancing is presented. The model shows that with the levels of social distancing under the initial lockdown level between March 26 and April 13, 2020, there would be a projected continued rise in the number of infected cases. The model also looks at the impact of relaxing the social distancing measures after the initial announcement of the lockdown. It is shown that relaxation of social distancing by 2% can result in a 23% rise in the number of cumulative cases whilst an increase in the level of social distancing by 2% would reduce the number of cumulative cases by about 18%. The model results accurately predicted the number of cases after the initial lockdown level was relaxed towards the end of April 2020. These results have implications on the management and policy direction in the early phase of the epidemic.

scholarly journals Modelling the potential impact of social distancing on the COVID-19 epidemic in South Africa

2020 ◽  
Author(s):  
F. Nyabadza ◽  
F. Chirove ◽  
W. Chukwu ◽  
M.V. Visaya
Keyword(s):  
South Africa ◽  
Deterministic Model ◽  
Cumulative Number ◽  
The Novel ◽  
Social Distancing ◽  
The Social ◽  
Potential Impact ◽  
Policy Direction ◽  
Novel Coronavirus ◽  
The Impact

AbstractThe novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in South Africa. Social distancing has been touted as the best form of response in managing a rapid increase in the number of infected cases. In this paper, we present a deterministic model to model the impact of social distancing on the transmission dynamics of COVID-19 in South Africa. The model is fitted to the currently available data on the cumulative number of infected cases and a scenario analysis on different levels of social distancing are presented. The results show a continued rise in the number of cases in the lock down period with the current levels of social distancing albeit at a lower rate. The model shows that the number of cases will rise to above 4000 cases by the end of the lockdown. The model also looks at the impact of relaxing the social distancing measures after the initial announcement of the lock down measures. A relaxation of the social distancing by 2% can result in a 23% rise in the number of cumulative cases while on the other hand increasing the levels of social distancing by 2% would reduce the number of cumulative cases by about 18%. These results have implications on the management and policy direction in the early phases of the epidemic.

scholarly journals Human Mobility Restrictions and the Spread of the Novel Coronavirus (2019-nCoV) in China

2020 ◽  
Author(s):  
Hanming Fang ◽  
Long Wang ◽  
Yang Yang
Keyword(s):  
Human Mobility ◽  
Hubei Province ◽  
The Novel ◽  
Chinese Cities ◽  
Social Distancing ◽  
Spring Festival ◽  
The Social ◽  
Novel Coronavirus ◽  
The Impact ◽  
The City

AbstractWe quantify the causal impact of human mobility restrictions, particularly the lockdown of the city of Wuhan on January 23, 2020, on the containment and delay of the spread of the Novel Coronavirus (2019-nCoV). We employ a set of difference-in-differences (DID) estimations to disentangle the lockdown effect on human mobility reductions from other confounding effects including panic effect, virus effect, and the Spring Festival effect. We find that the lockdown of Wuhan reduced inflow into Wuhan by 76.64%, outflows from Wuhan by 56.35%, and within-Wuhan movements by 54.15%. We also estimate the dynamic effects of up to 22 lagged population inflows from Wuhan and other Hubei cities, the epicenter of the 2019-nCoV outbreak, on the destination cities’ new infection cases. We find, using simulations with these estimates, that the lockdown of the city of Wuhan on January 23, 2020 contributed significantly to reducing the total infection cases outside of Wuhan, even with the social distancing measures later imposed by other cities. We find that the COVID-19 cases would be 64.81% higher in the 347 Chinese cities outside Hubei province, and 52.64% higher in the 16 non-Wuhan cities inside Hubei, in the counterfactual world in which the city of Wuhan were not locked down from January 23, 2020. We also find that there were substantial undocumented infection cases in the early days of the 2019-nCoV outbreak in Wuhan and other cities of Hubei province, but over time, the gap between the officially reported cases and our estimated “actual” cases narrows significantly. We also find evidence that enhanced social distancing policies in the 63 Chinese cities outside Hubei province are effective in reducing the impact of population inflows from the epi-center cities in Hubei province on the spread of 2019-nCoV virus in the destination cities elsewhere.JEL CodesI18, I10.

scholarly journals An Investigation of Social Distancing and Quantity of Luggage Impacts on the Three Groups Reverse Pyramid Boarding Method

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 544
Author(s):  
Liviu-Adrian Cotfas ◽  
R. John Milne ◽  
Camelia Delcea ◽  
Corina Ioanăș
Keyword(s):  
Health Risk ◽  
Social Distance ◽  
Airline Industry ◽  
Performance Metrics ◽  
Optimal Number ◽  
The Novel ◽  
Social Distancing ◽  
Group 2 ◽  
Novel Coronavirus ◽  
Group 1

The social distancing imposed by the novel coronavirus, SARS-CoV-2, has affected people’s everyday lives and has resulted in companies changing the way they conduct business. The airline industry has been continually adapting since the novel coronavirus appeared. A series of airlines have changed their airplane boarding and passenger seat allocation process to increase their passengers’ safety. Many suggest a minimum social distance among passengers in the aisle while boarding. Some airlines have reduced their airplanes’ capacities by keeping the middle seats empty. Recent literature indicates that the Reverse Pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods. This paper analyses the extent to which aisle social distancing, the quantity of carry-on luggage, and an airline’s relative preferences for different performance metrics influence the optimal number of passengers to board the airplane in each of three boarding groups when the Reverse Pyramid method is used and the middle seats are empty. We also investigate the resulting impact on the average boarding time and health risks to boarding passengers. We use an agent-based model and stochastic simulation approach to evaluate various levels of aisle social distancing among passengers and the quantity of luggage carried aboard the airplane. When minimizing boarding time is the primary objective of an airline, for a given value of aisle social distance, decreasing the carry-on luggage volumes increases the optimal number of boarding group 1 passengers and decreases the optimal number of group 2 passengers with aisle seats; for a given volume of luggage, an increase in aisle social distance is associated with more passengers in group 1 and more aisle seat passengers in group 2. When minimizing the health risk to aisle seat passengers or to window seat passengers, the optimal solution results from assigning an equal number of window seat passengers to groups 1 and 2 and an equal number of aisle seat passengers to groups 2 and 3. This solution is robust to changes in luggage volume and the magnitude of aisle social distance. Furthermore, across all luggage and aisle social distancing scenarios, the solution reduces the health risk to aisle seat passengers between 22.76% and 35.31% while increasing average boarding time by less than 3% in each scenario.

scholarly journals Prevalence and correlates of forgone care among adult Israeli Jews: A survey conducted during the COVID-19 outbreak

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260399
Author(s):  
Perla Werner ◽  
Aviad Tur-Sinai
Keyword(s):  
Behavioral Model ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
The Novel ◽  
Cross Sectional ◽  
Social Distancing ◽  
The Public ◽  
The Social ◽  
Seeking Help ◽  
Novel Coronavirus

Efforts to control the spread of the novel Coronavirus (COVID-19) pandemic include drastic measures such as isolation, social distancing, and lockdown. These restrictions are accompanied by serious adverse consequences such as forgoing of healthcare. The study aimed to assess the prevalence and correlates of forgone care for a variety of healthcare services during a two-month COVID-19 lockdown, using Andersen’s Behavioral Model of Healthcare Utilization. A cross-sectional study using computerized phone interviews was conducted with 302 Israeli Jewish participants aged 40 and above. Almost half of the participants (49%) reported a delay in seeking help for at least one needed healthcare service during the COVID-19 lockdown period. Among the predisposing factors, we found that participants aged 60+, being more religious, and reporting higher levels of COVID-19 fear were more likely to report forgone care than younger, less religious and less concerned participants. Among need factors, a statistically significant association was found with a reported diagnosis of diabetes, with participants with the disease having a considerably higher likelihood of forgone care. The findings stress the importance of developing interventions aimed at mitigating the phenomenon of forgoing care while creating nonconventional ways of consuming healthcare services. In the short term, healthcare services need to adapt to the social distancing and isolation measures required to stanch the epidemic. In the long term, policymakers should consider alternative ways of delivering healthcare services to the public regularly and during crisis without losing sight of their budgetary consequences. They must recognize the possibility of having to align medical staff to the changing demand for healthcare services under conditions of health uncertainty.

scholarly journals Determining the Number of Passengers for Each of Three Reverse Pyramid Boarding Groups with COVID-19 Flying Restrictions

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2038
Author(s):  
Camelia Delcea ◽  
R. John Milne ◽  
Liviu-Adrian Cotfas
Keyword(s):  
Health Risk ◽  
Recent Literature ◽  
Agent Based Modeling ◽  
The Novel ◽  
Agent Based ◽  
Social Distancing ◽  
Relative Preference ◽  
Search Optimization ◽  
Airport Terminal ◽  
Novel Coronavirus

The onset of the novel coronavirus SARS-CoV2 has changed many aspects of people’s economic and social activities. For many airlines, social distancing has reduced airplane capacity by one third as a result of keeping the middle seats empty. Additionally, social distancing between passengers traversing the aisle slows the boarding process. Recent literature has suggested that the reverse pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods with social distancing. Assuming reverse pyramid boarding with the middle seats unoccupied, we determined the number of passengers to include in each of three boarding groups. We assumed that passengers use a jet-bridge that connects the airport terminal to the airplane’s front door. We used agent-based modeling and a stochastic simulation to evaluate solutions. A full grid search found an initial good solution, and then local search optimization determined the best solution based upon the airline’s relative preference for minimizing average boarding time and minimizing risks to previously seated passengers from later-boarding, potentially contagious passengers breathing near them. The resulting solution contained the number of passengers to place into each of the three boarding groups. If an airline is most concerned about the health risk to seated passengers from later boarding passengers walking near them, the best three-group reverse pyramid method adapted for social distancing will first board passengers with window seats in the rear half of the airplane, then will board passengers with window seats in the front half of the airplane and those with aisle seats in the rear half of the airplane, and finally will board the passengers with aisle seats in the front half of the airplane. The resulting solution takes about 2% longer to board than the three-group solution that minimizes boarding time while providing a 25% decrease in health risk to aisle seat passengers from later boarding passengers.

scholarly journals Intercultural Communication Challenges in the Period of the Novel Coronavirus (Covid-19) (The Case of Qatar Airways)

2021 ◽  
Vol 17 (16) ◽  
Author(s):  
Margo Kublashvili
Keyword(s):  
Intercultural Communication ◽  
Target Group ◽  
Communication Process ◽  
Modern World ◽  
The Novel ◽  
Social Distancing ◽  
Cabin Crew ◽  
Novel Coronavirus ◽  
Different Cultures ◽  
The Impact

Under the conditions of the global threat of the modern world - the novel coronavirus (Covid-19) pandemic, the demand for social distancing as a commonly proven method of preventing fatal cases and stopping the virus has fundamentally changed the process of communication in an intercultural environment. Our research aims to study the impact of the pandemic on the intercultural communication process and its quality in a multicultural environment. Cabin Crew of Qatar Airways, as one of the largest multicultural/multinational companies, was selected as a target group. A qualitative method of data collection – interviewing – was used as a research technique. In particular, the target group was interviewed through a semistructured questionnaire – by a so-called "narrative interview" method. This research enabled us to obtain new narratives which were created on the coronavirus background – responses of the Qatar Airways Cabin Crew and the company's international passengers to the challenge of Covid-19. The study and analysis of these responses revealed that representatives of different cultures (Individualistic/Collectivist cultures, High/Low uncertainty avoidance cultures, Submissive orientation/Mastery orientation cultures, Tight/Loose cultures) have different attitudes towards the pandemic as an uncertain and unpredictable future; towards the Covid-19 vaccine; towards wearing a mask and eye contact related to it; in addition, they can be distinguished by different perceptions of territorialism as personal space (physical and social distancing); different feelings of fear and anxiety and readiness to obey/disobey introduced rules or restrictions (so-called Lockdown, Curfew). According to the research, these differences are due to the "mental program" of a society, i.e. a purely cultural factor. However, despite several intercultural differences, daily contact with groups having other cultures significantly increases opportunities for collaboration, which, in times of crisis, does not hinder the process of interaction between different cultures, but on the contrary, it increases the level of intercultural acceptance and sensitivity.

scholarly journals Untying the Precise Impact of COVID-19 Policy on Social Distancing Behavior

2021 ◽  
Vol 18 (3) ◽  
pp. 896
Author(s):  
Fakhar Shahzad ◽  
Jianguo Du ◽  
Imran Khan ◽  
Zeeshan Ahmad ◽  
Muhammad Shahbaz
Keyword(s):  
Causal Effect ◽  
The Novel ◽  
Social Distancing ◽  
Movement Data ◽  
Quasi Experimental ◽  
Voluntary Behavior ◽  
Novel Coronavirus ◽  
The Impact ◽  
Staying At Home ◽  
At Home

Social distancing has manifold effects and is used as a non-pharmacological measure to respond to pandemic situations such as the novel coronavirus (COVID-19), especially in the absence of vaccines and other useful antiviral drugs. Governments around the globe have adopted and implemented a series of social distancing strategies. The efficacy of various policies and their comparative influence on mechanisms led by public actions and adoptions have not been examined. The differences in types and effective dates of various social distancing policies in various provinces/territories of Pakistan constitute a pure ground to examine the causal effects of each COVID-19 policy. Using the location trends and population movement data released by Google, a quasi-experimental method was used to measure the impact of the government’s various social distancing policies on the people’s existence at home and their outside social mobility. Based on the magnitude and importance of policy influences, this research ranked six social distancing policies whose influence exceeded the effect of voluntary behavior. Our research outcomes describe that the trend of staying at home was firmly pushed by state-wide home order rather than necessary business closings and policies that were associated with public gathering restrictions. Strong government policies have a strong causal effect on reducing social interactions.

scholarly journals Reduced social distancing during the COVID-19 pandemic is associated with antisocial behaviors in an online United States sample

2020 ◽  
Author(s):  
Katherine O'Connell ◽  
Kathryn Berluti ◽  
Shawn A Rhoads ◽  
Abigail Marsh
Keyword(s):  
Health Risks ◽  
Disease Transmission ◽  
Specific Form ◽  
Protective Equipment ◽  
The Novel ◽  
Antisocial Behaviors ◽  
Social Distancing ◽  
Increase Risk ◽  
Risk Of Disease ◽  
Novel Coronavirus

Antisocial behaviors cause harm, directly or indirectly, to others’ welfare. The novel coronavirus pandemic has increased the urgency of understanding a specific form of antisociality: behaviors that increase risk of disease transmission. Because disease transmission-linked behaviors tend to be interpreted and responded to differently than other antisocial behaviors, it is unclear whether general indices of antisociality predict contamination-relevant behaviors. In a preregistered study using an online U.S. sample we found that individuals reporting high levels of antisociality engage in fewer social distancing measures: they report leaving their homes more frequently (p=.016, n=117) and standing closer to others while outside (p<.001, n=114). These relationships were observed after controlling for sociodemographic variables, illness risk, and use of protective equipment. Antisociality was not significantly associated with level of worry about the coronavirus. These findings suggest that more antisocial individuals may pose health risks to themselves and their community during the COVID-19 pandemic.

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