Using simulation Technology to Analyze the COVID-19 Epidemic in Changsha, Hunan Province, China

Zhou, Nan; Li, Guoqun; Li, Tong; Wei-tong, LI; CHEN, Mengxiang; Zhang, Siyu; Zhang, Heng; Zha, Wenting; Liu, Yuan

doi:10.21203/rs.3.rs-67564/v1

Cited by 6 publications

(7 citation statements)

References 77 publications

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“…The left and right boundaries of the model are adiabatic. These assumptions are consistent with the open references [24,25]. All of the quantities for the boundary conditions in the paper are listed in Table 2.…”

Section: Mathematical Modelsupporting

confidence: 78%

“…When copper is used as material for tubes, the temperature difference between the working medium and cooling pipe outer surface could be as low as 0.001 • C [4], thus the cooling pipe temperature is assumed to be equal to the evaporation temperature of the working medium. The temperature of the antifreeze pipe is determined according to the literature [24,25]. The ground temperature is determined according to the method in the literature [20,26].…”

Section: Mathematical Modelmentioning

confidence: 99%

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Parametric Evaluation of Cooling Pipe in Direct Evaporation Artificial Ice Rink

et al. 2022

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With the coming of the 2022 Beijing Winter Olympic Games, China’s artificial ice rink construction will be in rapid development. A parametric evaluation of the cooling pipe in a direct evaporation rink was performed by numerical simulation. The results showed that the influence of the temperature of the antifreeze pipe on the ice surface temperature can be ignored. The evaporation temperature of the working medium in the cooling pipe is between −32 °C and −22.4 °C to ensure the ice surface temperature is between −5 °C and −3 °C. With the increase in the cooling pipe spacing, the required evaporation temperature of the working medium in the cooling pipe and the uniformity of the ice surface temperature decreased. The required evaporation temperature of the working medium in the cooling pipe decreases by 1.2–1.5 °C for every 10 mm increment of spacing. With the increase in the cooling pipe diameter, the required evaporation temperature of the working medium in the cooling pipe and the uniformity of the ice surface temperature increase. The required evaporation temperature of the working medium in the cooling pipe increases by 2.2–2.9 °C for every 5 mm increment of diameter. The maximum temperature difference of ice surface temperature ranged from 0.004 °C to 0.111 °C.

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Section: Mathematical Modelsupporting

confidence: 78%

Section: Mathematical Modelmentioning

confidence: 99%

Parametric Evaluation of Cooling Pipe in Direct Evaporation Artificial Ice Rink

et al. 2022

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“…Some scholars have focused on the spread of COVID-19 in both macro-scale and micro-scale spaces by Anylogic. Though there were some similar micro-scale studies [46][47][48], all of these were based on an ideal experimental environment. With a relatively lack of practicality and few number of experimental simulations, the conclusions are of some contingency.…”

Section: Discussionmentioning

confidence: 99%

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Zhou¹,

Zhao

Zheng

et al. 2021

Healthcare

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Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus cross-infection. Therefore, appropriate control of crowd exposure time in large-scale virus testing should be an important goal in the layout of urban community health facilities. This paper uses the Quanta concept and Wells-Riley model to define the “certain-exposure time” under low cross-infection rate. Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic and under different screening processes. Eventually, the screening efficiency was evaluated for all community health service centers in Wuhan. During the early period of the pandemic, 23.13% of communities failed to complete virus testing of community residents within 2 h of certain-exposure time, leaving approximately 56.07% of the population unscreened; during the later period of the COVID-19 pandemic, approximately 53% of communities and 75% of residents could not be screened. The results can pinpoint the distribution of community health service centers with inadequate screening capacity, facilitate targeted policymaking and planning, and effectively curb COVID-19 cross-infection during screening.

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“…High-tech corporate often face various risks that can lead to property damage and personal injuries during their operational processes (Yang and Yang, 2021). By having technology insurance, the insurance company can cover the civil liability risks that would otherwise be borne by the enterprise itself (Zhou, 2015). Generally, the government supports technological innovation projects of corporate through six methods: investing in technology insurance, technology credit, incubators, angel investments, venture capital, and funds.…”

Section: Technology Insurance Related Studiesmentioning

confidence: 99%

Green insurance, technology insurance, and corporate green innovation

Pu,

Mo,

2024

Front. Environ. Econ.

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The “dual-carbon” strategy was first written into China's “Government Work Report” in 2021, bringing green low-carbon development and green innovation to an unprecedented height. At the financial policy level, the Chinese government actively promotes the development of a green financial system represented by green bonds, green insurance, science and technology insurance, and green credit. Existing literature studies on green insurance and science and technology insurance mainly focus on the relevant legal system, the impact on corporate and risk management system, insurance types and service models, subsidy policies, and the problems and challenges they face. However, existing studies have studied the impact of green insurance and science and technology insurance on corporate' green innovation. In particular, the impact of their interaction on corporate' green innovation is rarely mentioned. From the perspective of green insurance and science and technology insurance to promote corporate' green innovation, based on the data sample of Shanghai and Shenzhen A-share listed companies from 2014 to 2015, this paper comprehensively investigated and analyzed the impact of green insurance and science and technology insurance on corporate' green innovation, and analyzed the interaction effect of the two. The research perspective of enterprise green innovation is expanded. The analysis conclusion of this paper provides new ideas and empirical evidence for Chinese corporate to realize faster and more efficient green transformation, which is conducive to stimulating the vitality of enterprise green innovation and development.

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Using simulation Technology to Analyze the COVID-19 Epidemic in Changsha, Hunan Province, China

Cited by 6 publications

References 77 publications

Parametric Evaluation of Cooling Pipe in Direct Evaporation Artificial Ice Rink

Parametric Evaluation of Cooling Pipe in Direct Evaporation Artificial Ice Rink

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Green insurance, technology insurance, and corporate green innovation

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