ABSTRACT
Meteorological and human factors during the specific epidemic are critical for effectively evaluating the causes of air quality changes in different areas. This study selected Xingtai City, Hebei Province as the research object, took 2020 epidemic situation as an experimental scenario of extreme emission reduction under the extreme control measures, and 2021 epidemic situation as an experimental analysis scenario of future normalized epidemic prevention and control. Compared with the period prior to the epidemic, the ozone concentration during the two epidemics increased, and the particle concentration during the 2021 epidemic also increased. The concentration of other pollutants during the 2020 epidemic decreased to varying degrees. Compared with the same period in 2019, the ozone concentration during the two epidemics also increased. In addition, the pollutant concentration during the 2021 epidemic declined more. Using LSTM algorithm and WRF-CMAQ model to quantify impacts of meteorological factors on the changes in pollutant concentration during the two epidemic periods. The human-induced changes in different pollutant concentrations were deduced as indicated by the results from the air quality simulation. The simulation of LSTM algorithm during the two outbreaks shows that human being had a negative impact on pollutants (reducing their concentration) and accounted for a high proportion in the total change, while the influence of meteorological factors simulated with CMAQ model was much higher than that with LSTM algorithm. Anthropogenic influences dominated during the 2020 epidemic period, while compared to that during the 2020 epidemic period, the impact of anthropogenic activities on pollutants (except NO2) was positive (promoting an increase in pollutant concentration) during the 2021 epidemic period. © 2022 Chinese Society for Environmental Sciences. All rights reserved.
ABSTRACT
This article reports on research exploring how religious involvement and commitment are related to post-pandemic well-being among Chinese university students. The Religious Commitment Inventory-10, the Religious Involvement Scale, and the Post-Pandemic Well-Being Scale were administered to 1739 university students selected from 119 comprehensive universities. Results showed that religious involvement and religious commitment significantly and positively predicted post-pandemic well-being beyond demographic variables. The significance of religious education and the limitations and contributions of this research are also discussed.
ABSTRACT
Objectives: As the novel coronavirus (SARS-CoV-2) pandemic continues, people with cystic fibrosis (CF) have been identified as being a vulnerable group. It is essential that people with CF, their families and their clinical teams have the most up-to-date information on the impact of SARS-CoV-2 on their health. This study aims to characterise the impact of SARS-CoV-2 infection in people with CF throughout 2020, identify factors that predict clinical progression of COVID-19, and to describe medium-term follow-up of people who have been infected. Methods: The ‘Cystic Fibrosis Registry Global Harmonization Group’ is a worldwide network of CF Registries that each contributed data on people with CF diagnosed with SARS-CoV-2 infection. In this analysis, we will report on cases contributed from 22 countries diagnosed between 1st February and 13th December 2020. We will present demographic, pre-infection clinical characteristics, symptoms, infection management and outcomes. We will use multivariable logistic regression to assess predictors for hospitalisation with respiratory support and intensive care admission as the outcomes of interest representing clinical progression of COVID-19. Descriptive analysis of medium-term follow-up BMI and FEV1% predicted values will also be undertaken. Results: Results pending. Expected cohort size >1,000, including the 181 previously reported in our paper “The global impact of SARS-CoV-2 in 181 people with cystic fibrosis.” Conclusion: It is expected that the findings of this study will have important implications for shielding advice, clinical care and vaccine prioritisation for people with CF.