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Disaster Med Public Health Prep ; 14(5): e19-e23, 2020 10.
Article in English | MEDLINE | ID: covidwho-851031


OBJECTIVE: The effectiveness of air traffic restriction in containing the spread of infectious diseases is full of controversy in prior literature. In January 2020, the Civil Aviation Administration of China (CAAC) announced air traffic restriction in response to the coronavirus disease (COVID-19) pandemic. This study's aim is to empirically examine the policy effectiveness. METHOD: The data from 2 third-party platforms are used in this investigation. The COVID-19 data from the platform DXY and the air traffic data from Airsavvi are matched to each other. The robust panel regression with controlling city effect and time effect is conducted. RESULTS: The curvilinear relations are found between the air traffic restriction and the existing cases, and the recovery rate (quadratic term = 9.006 and -0.967, respectively). As the strength of air traffic restriction is growing, the negative effect (-8.146) of air traffic restriction on the existing cases and the positive effect (0.961) of air traffic restriction on the recovery rate, respectively, begin decreasing. CONCLUSION: On the macro level, the air traffic restriction may help alleviate the growth of existing cases and help raise the recovery rate of COVID-19 in megacities of China, but both these effects will marginally recede as the restriction strength is intensifying.

Aviation/standards , COVID-19/prevention & control , Pandemics/prevention & control , Air Pollutants/adverse effects , Air Pollutants/supply & distribution , Aviation/methods , Aviation/statistics & numerical data , COVID-19/epidemiology , China/epidemiology , Cities/statistics & numerical data , Humans , Pandemics/statistics & numerical data
Int J Environ Res Public Health ; 17(12)2020 06 23.
Article in English | MEDLINE | ID: covidwho-615819


This study investigates the relationship between internalized stigmatization brought on by epicenter travel experiences and mental health problems (including anxiety, depression, and shame) during the period of the novel coronavirus disease emergency in China. The cross-sectional data were collected using the time-lag design to avoid the common method bias as much as possible. Regression results using structural equation modeling show that the internalized stigmatization of epicenter travel experiences may have positive relationships with mental health problems (i.e., anxiety, depression, and shame), and such relationships can be moderated by social support. Specifically, the positive relationships between internalized stigmatization and mental health problems are buffered/strengthened when social support is at a high/low level. The findings of this study suggest that, in this epidemic, people who have epicenter travel experience could be affected by internalized stigmatization, no matter whether they have ever got infected.

Coronavirus Infections/psychology , Mental Disorders/psychology , Pneumonia, Viral/psychology , Social Stigma , Social Support , Stereotyping , Betacoronavirus , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Depression/psychology , Humans , Mental Disorders/epidemiology , Mental Health , Pandemics , Pneumonia, Viral/epidemiology , Public Health , SARS-CoV-2 , Shame , Travel