Background The Civil Aviation Administration of China (CAAC) declares the airline transport regulation in January 2020 to help retard the spread of the novel coronavirus disease in China. This study is to examine the effect of airline transport regulation on confirmed cases of the novel coronavirus disease in megacities in China. Methods This study combines the multi-source data from the health data platform DXY, the airline data platform Airsavvi, the China Economic Internet Statistical Database and the China Railway website. The megacities whose airports have a passenger throughput of over 30 million per year (11 megacities: Wuhan, Beijing, Shanghai, Guangzhou, Chengdu, Shenzhen, Kunming, Xi'an, Chongqing, Hangzhou, Nanjing) are included in the analysis. The regression analysis is conducted in this study. Results The curvilinear relationship between the limitation on air traffic and confirmed cases of the novel coronavirus disease is identified (coefficient of the linear term = −4.650, p -value < 0.01; coefficient of the quadratic term = 4.089, p -value < 0.01). Conclusions This study confirms the effectiveness of airline transport regulation in suppressing the development of this pandemic. The limitation on air traffic is found to negatively affect the confirmed cases in China's megacities. However, such effect marginally recedes as the strength of limitation intensifies. It suggests that comprehensive policy intervention is in need and air traffic can be one of important determinants that affect the epidemic development.

Objective: The practice of parallel multiple jobs has increasingly become a global trend. However, the effects of parallel multiple jobs on physical and mental health have not been well understood. Method: Data come from China Health and Retirement Longitudinal Study published by CHARLS in 2015. The agricultural population aged 45 years old and above are selected through stratified random sampling (N = 10,118). Robust regression method is used to give robust estimation. Results: U-shape relations are found. The modest increase in the number of parallel multiple jobs can alleviate the difficulty in physical activities functioning and can reduce mental health problems. However, these beneficial effects could turn detrimental with the number of parallel multiple jobs beyond the modest level, leading to work overload. Conclusion: Parallel multiple jobs could be considered a double edge sword for physical and mental health.

No abstract

No abstract