Background Coronavirus disease 2019 (COVID-19) pandemic provided an opportunity for the environment to reduce ambient pollution despite the economic, social and health disruption to the world. The purpose of this study was to investigate the changes in the air quality indexes (AQI) in industrial, densely populated and capital cities in different countries of the world before and after 2020. In this ecological study, we used AQI obtained from the free available databases such as the World Air Quality Index (WAQI). Bivariate correlation analysis was used to explore the correlations between meteorological and AQI variables. Mean differences (standard deviation: SD) of AQI parameters of different years were tested using paired-sample t-test or Wilcoxon signed-rank test as appropriate. Multivariable linear regression analysis was conducted to recognize meteorological variables affecting the AQI parameters. Results AQI-PM2.5, AQI-PM10 and AQI-NO2 changes were significantly higher before and after 2020, simultaneously with COVID-19 restrictions in different cities of the world. The overall changes of AQI-PM2.5, AQI-PM10 and AQI-NO2 in 2020 were – 7.36%, – 17.52% and – 20.54% compared to 2019. On the other hand, these results became reversed in 2021 (+ 4.25%, + 9.08% and + 7.48%). In general, the temperature and relative humidity were inversely correlated with AQI-PM2.5, AQI-PM10 and AQI-NO2. Also, after adjusting for other meteorological factors, the relative humidity was inversely associated with AQI-PM2.5, AQI-PM10 and AQI-NO2 (β = − 1.55, β = − 0.88 and β = − 0.10, P < 0.01, respectively). Conclusions The results indicated that air quality generally improved for all pollutants except carbon monoxide and ozone in 2020; however, changes in 2021 have been reversed, which may be due to the reduction of some countries’ restrictions. Although this quality improvement was temporary, it is an important result for planning to control environmental pollutants.
Understanding the factors affecting COVID-19 transmission is critical in assessing and mitigating the spread of the pandemic. This study investigated the transmissibility and death distribution of COVID-19 and its association with meteorological parameters to study the propagation pattern of COVID-19 in UK regions. We used the reported case and death per capita rate (as of November 13, 2020; before mass vaccination) and long-term meteorological data (temperature, humidity, precipitation, wind speed, and visibility) in 406 UK local authority levels based on publicity available secondary data. We performed correlation and regression analysis between COVID-19 variables and meteorological parameters to find the association between COVID-19 and independent variables. Student's T and Mann-Whitney's tests were used to analyze data. The correlation and regression analyses revealed that temperature, dew point, wind speed, and humidity were the most important factors associated with spread and death of COVID-19 (P <0.05). COVID-19 cases negatively correlated with humidity in areas with high population density, but the inverse in low population density areas. Wind speeds in low visibility areas, which are considered polluted air, may increase the spread of disease (r=0.42, P <0.05) and decrease the spread in high visibility areas (r=−0.16, P <0.05). Among low (T <10°C) and high (T >10°C) temperature areas, the average incidence rates
BACKGROUND: Many work-related fatalities happen every year in electricity distribution companies. This study was conducted to model accidents using the time series analysis and survey descriptive factors of injuries in an electricity distribution company in Tehran, Iran. METHODS: Data related to 2010 to 2017 were collected from the database of the safety department. Time Series and trend analysis were used for data analyzing and anticipating the accidents up to 2022. RESULT: Most of the accidents occurred in summer. Workers’ negligence was the reason for 75%of deaths. Employment type and type of injuries had a significant relationship (p < 0.05). CONCLUSION: The anticipating model indicated occupational injuries are going to have an increase in the future. A high rate of accidents in summer maybe because of the warm weather or insufficient skills in temporary workers. Temporary workers have no chance to work in a year like permanent workers, therefore acquisition experiences may be less in them. Based on the estimating model, Management should pay attention to those sectors of the company where most of the risky activities take place. Also, training programs and using personal protective equipment can help to protect workers in hazardous conditions.
Background: Despite the mass vaccination of people in countries, preventive health guidelines of coronavirus disease 2019 (COVID-19) are still one of the most critical factors for pandemic control. The objectives of this study were to assess the overall use of face masks and investigate the diverse kinds of face masks used among pedestrians in northeast Iran. Methods: This cross-sectional study was designed in Torbat Heydariyeh, northeastern Iran, from February 19 to May 13, 2020. A total of 223 848 pedestrians were selected from 25 points of the city, using a multistage sampling method in 10 stages. Descriptive statistics were presented with frequencies and percentages. Chi-square test and Fisher exact test were used to assess the association between two categorical variables. Results: The overall percent of face mask usage was 78.68%. Women used face masks considerably higher than men (88.32% vs. 69.02%, P<0.001). Among the male and female pedestrians who used the mask, 6.27% and 2.04% wore face mask incorrectly, respectively. Surgical masks (73.7%) were the most common face masks worn by pedestrians. Overall, the face mask usage was significantly lower during a.m. (88.34%) compared to p.m. (78.52%) (P<0.001). Also, the face mask usage was significantly higher in the center sections of the city (86.49%) compared to the outskirts (43.67%) (P<0.001). Conclusion: Women use face masks significantly more than men. Using educational programs and establishing laws and regulations to prevent pandemics in cities is considered as a key factor.
Background: Finding evidence of the association between ambient pollution and severe coronavirus disease 2019 (COVID-19) infections is complicated and vague. Objective: Before widespread vaccination, this brief study investigated the COVID-19 dissemination and its relationship with the particulate matter. Methods: We used the reported cases and deaths per capita and PM2.5 (particulate matter ≤ 2.5 μm) in 245 cities in the United Kingdom (UK) and United State of America (USA) based on publicly available secondary data. We performed correlation and regression analyses of variables to explore the association between COVID-19 and PM2.5. Results: The analysis revealed that PM2.5 positively correlated with cases (Unstandardized Coefficient (b):150.04, P=0.006) and deaths per capita (b: 3.87, P=0.005)) in total cities, after adjusting median age and population density. Conclusion: The findings showed that the spread of the disease may be affected by the PM2.5 concentration.
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