Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore

Meng, Fanyu; Gong, Wenwu; Liang, Jun; Xian, Li; Zeng, Yiping; Yang, Lili

doi:10.1371/journal.pone.0248361

Cited by 30 publications

(17 citation statements)

References 39 publications

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“…Strict state governance applied to prevent the spread can significantly impact the COVID-19 infection at the neighborhood level. While the entire province of Hubei was locked down, ordinary people could not leave or enter in early 2020 [ 8 , 48 ]. Strict controls were applied to isolate neighborhoods and constrain human mobility within provinces and cities, increasing social distance and reducing infection risks.…”

Section: Discussion: Explaining the Spread And Policy Implicationsmentioning

confidence: 99%

Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Gong

Zhao

2022

PLoS ONE

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Since December 2019, the COVID-19 pandemic has quickly spread across the world. The traditional understanding of the relationship between wealth and the spread of contagious diseases is that similar to many precedent epidemics, the pandemic spread easily in poor neighborhoods in many countries. The environmental and socioeconomic implications of the COVID-19 pandemic are still poorly understood, thus this paper examines the relationship between neighborhood characteristics and the spread of the pandemic through a case study of Shenzhen, a Chinese megacity with many low-income rural migrants. The major finding is that wealthier and larger neighborhoods in Shenzhen were more likely to be infected in the first wave of the pandemic in 2020. This spread pattern is likely to result from China’s strict control to prevent the pandemic, human mobility, and demographic characteristics such as income. This finding reveals a new phenomenon that contrasts with the traditional understanding of the influence of wealth on the spread of epidemics. This paper enriches the understanding of the role of neighborhoods in the spread of the pandemic, and it has important public policy implications.

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Section: Discussion: Explaining the Spread And Policy Implicationsmentioning

confidence: 99%

Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Gong

Zhao

2022

PLoS ONE

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“…To date, many studies have been conducted on COVID-19 transmission to effectively contain its spread. Representative infection transmission models, such as the susceptible–infected–removed model [ 3 , 4 , 5 , 6 , 7 ] and data-driven time series [ 8 , 9 ], are macroscopic models. These models have the advantage of including macro-parameters and data.…”

Section: Introductionmentioning

confidence: 99%

Risk of COVID-19 Infection in Public Transportation: The Development of a Model

Park

Kim

2021

IJERPH

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South Korea’s social distancing policies on public transportation only involve mandatory wearing of masks and prohibition of food intake, similar to policies on other indoor spaces. This is not because public transportation is safe from coronavirus disease 2019 (COVID-19), but because no suitable policies based on accurate data have been implemented. To relieve fears regarding contracting COVID-19 infection through public transportation, the government should provide accurate information and take appropriate measures to lower the risk of COVID-19. This study aimed to develop a model for determining the risk of COVID-19 infection on public transportation considering exposure time, mask efficiency, ventilation rate, and distance. The risk of COVID-19 infection on public transportation was estimated, and the effectiveness of measures to reduce the risk was assessed. The correlation between the risk of infection and various factors was identified through sensitivity analysis of major factors. The analysis shows that, in addition to the general indoor space social distancing policy, ventilation system installation, passenger number reduction in a vehicle, and seat distribution strategies were effective. Based on these results, the government should provide accurate guidelines and implement appropriate policies.

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“…The study does not assess the impact of an air travel-related control measure Hossain 2020 (39) The study does not assess the impact of an air travel-related control measure Hu 2021 (40) The study does not assess the impact of an air travel-related control measure Kamata 2021 (41) The study does not measure the specified interventions Kim 2021 (42) The study does not measure the specified interventions Kong 2021 (43) The study does not provide a specific effect measure for the air travel-related control measure Korzeniewski 2020 (44) The study does not provide a specific effect measure for an air travel-related control measure Kwok 2021 (45) The study does not include air travellers Lai 2021 (46) The study does not measure the specified interventions Liu 2021 (47) The study does not assess the impact of an air travel-related control measure Medby 2021 (48) The study did not incorporate the specified study design Meng 2021 (49) The study does not measure the specified interventions Movsisyan 2021 (50) The study does not provide a specific effect measure for an air travel-related control measure Murall 2021 (51) The study does not include air travellers…”

Section: Table 5 Characteristics Of Excluded Studies [Ordered By Stud...mentioning

confidence: 99%

International Travel-Related Control Measures to contain The Covid-19 Pandemic: An update to a Cochrane Rapid Review

Hohlfeld¹,

Abdullahi

Abou‐Setta

et al. 2022

Preprint

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Background: COVID-19 has proven to be more difficult to manage for many reasons including its high infectivity rate. One of the potential ways to limit its spread is by controlling free international travel. The objective of this systematic review is to identify, critically-appraise and summarize evidence on international travel-related control measures. Methods: This review is based on the Cochrane review: International travel-related control measures to contain the COVID-19 pandemic and followed the same methods. In brief, we searched for clinical and modelling studies in general health and COVID-19-specific bibliographic databases. The primary outcome categories were (i) cases avoided, (ii) a shift in epidemic development and, (iii) cases detected. Secondary outcomes were other infectious disease transmission outcomes, healthcare utilisation, resource requirements and adverse effects if identified in studies assessing at least one primary outcome. Results: We assessed 66 full-text articles that met with our inclusion criteria. Seventeen new studies (modelling = 9, observational = 8) were identified in the updated search. Most studies were of critical to moderate risk of bias. The added studies did not change the main conclusions of the Cochrane review nor the quality of the evidence (very low to low certainty). However, it did add to the evidence base for most outcomes. Conclusions: Weak evidence supports the use of international travel-related control measures to limit the spread of COVID-19 via air travel. Real-world studies are required to support these conclusions.

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Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore

Cited by 30 publications

References 39 publications

Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Wealth, health, and beyond: Is COVID-19 less likely to spread in rich neighborhoods?

Risk of COVID-19 Infection in Public Transportation: The Development of a Model

International Travel-Related Control Measures to contain The Covid-19 Pandemic: An update to a Cochrane Rapid Review

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