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1.
Chinese Journal of Disease Control and Prevention ; 25(4):405-410, 2021.
Article in Chinese | Scopus | ID: covidwho-1566854

ABSTRACT

Objective To explore the lag effect of daily average temperature on the incidence of coronavirus disease 2019 (COVID-19) in Hunan Province and to provide scientific evidences for effective prevention of COVID-19.  Methods  The meteorological factors, the air quality factors and the data conincidence of COVID-19 reported in Hunan Province during January 21, 2020 to March 2, 2020 were collected. Spearman correlation and distributed lag non-linear model analysis were performed.  Results  A total of 1 018 COVID-19 cases were reported in Hunan Province. The distribution lag non-linear model results showed that the influence of daily average temperature on the incidence of COVID-19 presented a nonlinear relationship. The cumulative relative incidence risk of COVID-19 decreased with the increase of daily average temperature, and the lowest temperature risk of the patients was 0 ℃. Both cold temperature and hot temperature increased incidence risk of COVID-19. It was indicated that the hot effects were immediate, however, the cold effects with obvious lag effect persisted up to 12 days. The highest relative risk of COVID-19 incidence was associated with lag 8-day daily average temperature of -5 ℃(RR=2.20, 95% CI=1.16-4.19). The influence of high temperature(10 ℃) was more significant than that of low temperature(6 ℃).  Conclusion  The daily average temperature, especially cold or hot temperature, was an important influencing factor of the incidence of COVID-19 in Hunan Province, which had lag influence on the incidence of COVID-19. We suggested that some related preventive measures should be adopted to protect vulnerable population and severe patients to reduce the incidence risk. © 2021, Publication Centre of Anhui Medical University. All rights reserved.

2.
2020 Ieee Frontiers in Education Conference ; 2020.
Article in English | Web of Science | ID: covidwho-1250918

ABSTRACT

At the beginning of 2020, coronavirus disease 2019 (COVID-19) spread quickly throughout China. For the health and safety of faculties and students, all schools and universities were required to postpone their spring semester;however, the Ministry of Education hoped that teaching and learning could be facilitated to decrease or even eliminate the negative impact of the postponement on the students' subsequent self-development. Taking the "Principles of Electric Circuits" course as an example, this paper presents an innovative online teaching scheme for fundamental engineering courses, including pedagogical design and interactive methods in lectures. The students' feedback was collected using delicately designed questionnaires and the results demonstrated that our online teaching scheme achieved an effect no less than that from traditional in-classroom teaching, with even better student interactions using the online networks.

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