ABSTRACT
The COVID-19 epidemic continues to have a negative impact on the economy and public health. There is a correlation between certain limits (meteorological factors and air pollution statistics) and verified fatal instances of Corona Virus Disease 2019 (COVID-19), according to several researchers. It has not yet been determined how these elements affect COVID-19. Using air pollution data and meteorological data from 15 cities in India from 2020 to 2022, Convergent Cross Mapping (CCM) is utilized to set up the causal link with new confirmed and fatal cases of COVID-19 in this study. Our experimental results show that the causal order of the factors influencing the diagnosis of COVID-19 is: humidity, PM25, temperature, CO, NO2, O3, PM10. In contrast to other parameters, temperature, PM25, and humidity are more causally associated with COVID-19, while data on air pollution are less causally related to the number of new COVID-19 cases. The causal order of the factors affecting the new death toll is as follows: temperature, PM25, humidity, O3, CO, PM10, NO2. The causality of temperature with new COVID-19 fatalities in India was higher than the causation of humidity with new COVID-19 deaths, and O3 also showed higher causality with it. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The novel coronavirus pneumonia has been spreading in China and worldwide. People have been paying close attention to the epidemic situation through the Internet. It is of great practical significance to obtain public opinion information and supervise the epidemic situation from the Internet. In this context, the improved SCRAPY-Redis framework and cluster technology are used to crawl epidemic data, analyze and filter epidemic sensitive words, and realize visualization through numpy, panda, Matplotlib and wordcloud. After experimental analysis and running test, the improved framework is proved to be more effective than the traditional scrapy framework in speed and performance, with stable performance and good operation. © 2021 IEEE.
ABSTRACT
Due to the outbreak of COVID-19, the teaching of psychology in college has become especially important, posting higher requirements on the teaching content and purpose of the course of psychology. Nowadays, the traditional course of public psychology in college only focuses on the prevention and correction of psychological problems among college students, but educators ignore the importance of teaching students to understand psychological problems through relevant courses, making it impossible to achieve the expected effect of mental health education for students. Colleges should apply the notion of positive mental health education in the course of public psychology designed for college students. Students can better adapt to the society only when they have sound mental quality. According to requirement of “the zone of proximal development™ a conceptual framework of the course was established in this study based on adaptation theory in which students are encouraged to think independently, as required by and an autonomous learning situation was created for students with psychological problems. At the same time, the education and teaching programming software named Scratch was adopted and integrated in the virtual simulated experimental teaching system of psychology. The integrated teaching system included the management of psychological teaching software, the monitoring of psychological experimental process, the query and analysis of psychological experimental data and the management of academic experimental resources, forming an integrated teaching environment with adaptive learning functions. In the end, the ant colony algorithm was used to mine a learning mode that is commensurate with the learner’s knowledge level, meets the learner’s resource preferences and satisfies the learner’s needs for learning activities, and this learning mode was identified as the best application mode for the learning of public psychology. It was revealed in practice that the adaptive learning mode of psychology based on virtual simulation technology can improve students’ learning initiative for the course of public psychology and increase their independent innovation ability. © 2020. All Rights Reserved.