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1.
Proceedings of SPIE - The International Society for Optical Engineering ; 12597, 2023.
Article in English | Scopus | ID: covidwho-20244468

ABSTRACT

The ongoing COVID-19 epidemic has had a great impact on social activities and the economy. The usage technical analysis tools to provide a more accurate and efficient reference for epidemic control measures is of great significance. This paper analyzes the characteristics and deficiencies of the existing technical methods, such as regression model, simulation calculation, differential equation and so on. By analyzing past outbreak cases and comparing the epidemic prevention measures of different cities, we discuss the importance of early and timely prevention in controlling the epidemic, and the importance of analyzing and formulating plans in advance. We then make the key observation that the spread of the virus is related to the topology of the urban network. This paper further proposes an epidemic analysis model of the optimized PageRank model, and gives a ranking algorithm for virus transmission risk levels based on road nodes, forming a visual risk warning level map, and applies the algorithm to the epidemic analysis of Yuegezhuang area in Beijing. Finally, more in-depth research directions and suggestions for prevention and control measures are put forward. © 2023 SPIE.

2.
Pers Individ Dif ; 183: 111110, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1294122

ABSTRACT

Lockdown orders were issued on January 23, 2020 in Wuhan, China, for the purpose of preventing and controlling COVID-19, which led to severe psychological problems for residents. The present study aimed to investigate the recovery model of hopelessness through interpersonal pathways during the COVID-19 epidemic. An online survey was conducted in 34 provinces (those in autonomous regions and municipalities) of China. This survey investigated residents' hopelessness and the impact of three factors on it, including their perceived social support, meaning in life, and epidemic risk levels. Results showed that both perceived social support and meaning in life negatively predicted hopelessness, while meaning in life played a partial mediating role between perceived social support and hopelessness. Further, epidemic risk level played a moderating role between perceived social support and meaning in life, indicating a "marginal zone effect." Specifically, when comparing other province, perceived social support showed a stronger positive relationship with meaning in life among residents living in other regions of Hubei province. In sum, this study extends the recovery model of hopelessness through interpersonal pathways, and has important implications for public health emergency management.

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