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1.
Environ Technol ; : 1-11, 2022 Mar 17.
Article in English | MEDLINE | ID: covidwho-1730430

ABSTRACT

ABSTRACTThis paper comprehensively evaluates the dynamic effects on China's environment and economy during the COVID-19 pandemic. Results show that the COVID-19 lockdown resulted in a temporary improvement in air quality. Furthermore, nitrogen dioxide (NO2) levels in the atmosphere in China were 36% lower than in the week after last year's Lunar New Year holiday, but this also led to an economic downturn. Moreover, the aerosol optical depth (AOD) decreased significantly. During the back-to-work period, the economy recovered and there was an increase in energy consumption, and CO2, NO2 emissions sharply increased to pre-lockdown levels. In the post-lockdown period, the AOD was lower than that of the same period last year. This study can provide reference for environmental policy making, as it demonstrates to what extent the control of pollution sources can improve air quality. Precise emission reduction and regional joint prevention and control are important and effective means for the prevention and control of O3 pollution. The health and economic benefits of COVID-19 pandemic control measures are incalculable. And this can provide an effective scientific basis and theoretical support for the prevention and control of air pollution.

2.
J Assist Reprod Genet ; 39(2): 493-504, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1653606

ABSTRACT

PURPOSE: This study aimed to explore the perceived changes in sexual behaviour during COVID-19 lockdown, anxiety symptoms, and couple relationship of patients with infertility. METHODS: We performed an observational cross-sectional study between 20 November 2020 and 15 January 2021. We used stratified analysis of different stress levels and Quality of Marriage Index (QMI) scores to compare the perceived changes in sexual behaviour, anxiety symptoms, and couple relationship. The logistic regression model was performed to assess factors correlated with couples' relationship quality during the lockdown. Furthermore, we performed pathway analyses to assess whether the changes in sexual behaviour, stress level, or psychological anxiety during the lockdown could predict the quality of couple relationship. RESULTS: A total of 940 patients with infertility were included in this study. When we conducted a stratified analysis of the participants, significant differences were found between the changes in their sexual behaviour, stress levels, and couple relationship quality. The logistic regression model showed that sex, anxiety symptoms, decreased sexual satisfaction, sexual activity frequency, and income levels were closely related to couple relationship quality. Pathway analyses indicated that changes in their sexual behaviour, anxiety symptoms, and stress levels could all predict the quality of couple relationship. CONCLUSIONS: The perceived changes in sexual behaviour with different stress levels and couple relationship quality showed significant differences. Analysing the related factors that affect the quality of couple relationship, especially in times of crisis, is of great significance as this information can contribute to the improvement of treatment for patients with infertility.


Subject(s)
COVID-19 , Infertility , Anxiety/epidemiology , COVID-19/epidemiology , Communicable Disease Control , Cross-Sectional Studies , Humans , Infertility/therapy , Sexual Behavior/psychology
3.
Air Qual Atmos Health ; 14(4): 523-532, 2021.
Article in English | MEDLINE | ID: covidwho-888278

ABSTRACT

To curb the spread of the coronavirus, China implemented lockdown policies on January 23, 2020. The resulting extreme changes in human behavior may have influenced the air pollutants concentration. However, despite these changes, hazy weather persisted in Shanghai and became a public issue. This study aims to investigate air pollutant mass concentration changes during the lockdown in Shanghai. Air pollutant mass concentration data and meteorological data during the pre-lockdown period and the level I response lockdown period were analyzed by statistical analysis and a Lagrangian particle diffusion model. The data was classified in three periods: P1 (pre-lockdown: 10 days before the Spring Festival), P2 (the first 10 days after lockdown: during the Spring Festival celebration), and P3 (the second 10 days after lockdown: after the Spring Festival). Data for the same period in 2019 were used as a reference. The results indicate that the Spring Festival holiday in 2019 resulted in a reduction in energy consumption, which led to a decrease in PM2.5 (26.4%) and NO2 (43.41%) mass concentration, but an increase in ozone mass concentration (31.39%) in P2 compared with P1. The integrated effect of the Spring Festival holiday and lockdown in 2020 resulted in a decrease in PM2.5 (36.5%) and NO2 (51.9%) mass concentrations, but an increase in ozone mass concentration (43.8%) in P2 compared with P1. After the Spring Festival, the mass concentrations of PM2.5, SO2, and NO2 increased by 74.41%, 5.52%, and 53.28%, respectively in P3 compared with P2 in 2019. However, PM2.5 and SO2 concentrations in 2020 continued to decrease, by 14.74% and 4.61%, respectively, while NO2 mass concentration increased by 7.82% in P3 compared with P2. We also found that PM2.5 mass concentration is susceptible to regional transmission from the surrounding cities. PM2.5 and other gaseous pollutants show different correlations in different periods, while NO2 and O3 always show a strong negative correlation. The principal components before the Spring Festival in 2019 were O3 and NO2, and after the Spring Festival, they were PM2.5 and CO, while the principal components before the lockdown in 2020 were PM2.5 and CO, and during lockdown they were O3 and NO2.

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