Airport risk of importation and exportation of the COVID-19 pandemic

Nakamura, Hajime; Managi, Shunsuke

doi:10.1016/j.tranpol.2020.06.018

Cited by 155 publications

(137 citation statements)

References 19 publications

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“…Yoo and Managi ( 2020 ) argue that such policies against COVID-19 will save lives and consequently minimize economic losses. Furthermore, Nakamura and Managi ( 2020 ) show that reducing air travel decreases the risk of the import and export of goods. Policies that restrict behavior with the aim of preventing the spread of infectious diseases can be categorized into two types: enforceable behavioral restrictions that consider penalties using the legal system, and behavioral restrictions that do not use the legal system and are left to people’s sense of self-restraint (unenforceable).…”

Section: Introductionmentioning

confidence: 99%

COVID-19 with Stigma: Theory and Evidence from Mobility Data

2020

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This study conducts both theoretical and empirical analyses of how non-legally-binding COVID-19 policies affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs arising from both the risk of infection and the stigma of going out. Our hypothesis states that under a declared state of emergency people refrain from going out because it entails a strong psychological cost. Then, this study estimates a model using regional mobility data and emergency declarations data to analyze self-restraint behavior under a non-legally binding emergency declaration. The results show that, compared with before the declaration of the state of emergency, going-out behavior was suppressed under the state of emergency and after it was lifted even when going out did not result in penalties, which is consistent with the theoretical analysis. Keywords COVID-19 • Stigma • Self-restraint behavior • Non-legally binding policy • Regional mobility This article is part of the Topical Collection on Economics of COVID-19 The authors acknowledge the support from JSPS KAKENHI grant numbers JP19K23194 and JP20K13486, and of Feasibility Project 14200138 of Research Institute for Humanity and Nature. We should like to thank editors of Economics of Disasters and Climate Change as well as anonymous reviewers. We also appreciate valuable comments from Keisuke Hattori, Kosuke Hirose, and Jumpei Hamamura.

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Section: Introductionmentioning

confidence: 99%

COVID-19 with Stigma: Theory and Evidence from Mobility Data

2020

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“…Fernandes (2020) investigates how the global economy is affected by comparing economic conditions during SARS and the 2008–2009 financial crisis. Nakamura and Managi (2020) calculate the overall relative risk of the importation and exportation of COVID-19 from every airport to local municipalities around the world. While it is also essential to recognize the impacts of COVID-19 on diverse sectors, the disease ultimately and closely affects people's lives.…”

Section: Introductionmentioning

confidence: 99%

Global mortality benefits of COVID-19 action

Yoo

Managi

2020

Technological Forecasting and Social Change

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“…First lockdown occurred in Whuan ( Kupferschmidt & Cohen, 2020 ). Within three months (Jan to April 2020) the virus has spread globally and the rate of spread was high due to higher mobility of people globally via air flight ( Lau et al, 2020 ; Nakamura & Managi, 2020 ). Hence, it is considered that the transmission rate through people to people transmission is very high.…”

Section: Introductionmentioning

confidence: 99%

Study of COVID-19 pandemic in London (UK) from urban context

Ghosh

Nundy

Ghosh

et al. 2020

Cities

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COVID-19 transmission in London city was discussed in this work from an urban context. The association between COVID-19 cases and climate indicators in London, UK were analysed statistically employing published data from national health services, UK and Time and Date AS based weather data. The climatic indicators included in the study were the daily averages of maximum and minimum temperatures, humidity, and wind speed. Pearson, Kendall, and Spearman rank correlation tests were selected for data analysis. The data was considered up to two different dates to study the climatic effect (10th May in the first study and then updated up to 16th of July in the next study when the rest of the data was available). The results were contradictory in the two studies and it can be concluded that climatic parameters cannot solely determine the changes in the number of cases in the pandemic. Distance from London to four other cities (Birmingham, Leeds, Manchester, and Sheffield) showed that as the distance from the epicentre of the UK (London) increases, the number of COVID-19 cases decrease. What should be the necessary measure to be taken to control the transmission in cities have been discussed.

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Airport risk of importation and exportation of the COVID-19 pandemic

Cited by 155 publications

References 19 publications

COVID-19 with Stigma: Theory and Evidence from Mobility Data

COVID-19 with Stigma: Theory and Evidence from Mobility Data

Global mortality benefits of COVID-19 action

Study of COVID-19 pandemic in London (UK) from urban context

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