scholarly journals A Systematic Review of The Impact of Commercial Aircraft Activity on Air Quality Near Airports

Author(s):  
Karie Riley ◽  
Rich Cook ◽  
Edward Carr ◽  
Bryan Manning
Author(s):  
Maria Latournerie ◽  
Denisse Bustos ◽  
Joana Guedes

Due to the disproportionate growth of the population, human needs have been changing drastically, thus breaking their expected balance with nature. Industrialization and demands of new technologies imply the application of processes that require more energy, which, used in an unsustainable way, contributes to a decrease of the air quality, affecting the quality of life and the variation in Earth's climate system. This has a serious impact on both people's health and national economies because of the increase of absenteeism and mortality rates of workers caused by diseases related to exposure to high amounts of pollutants. The increased tourism in coastal areas requires the efficient attendance of these needs as there is nowadays a great variety of activities that emit atmospheric pollutants in those areas (grills, recreational activities, transportation). A systematic review is proposed to identify the methods used in the monitoring and control of the amounts of outdoor air pollutants, specifically CO2 and PM 2.5, to determine the relationship between workers' exposure to the bad quality air in coastal areas during their working days and respiratory and cardiovascular diseases, that would allow creating programs and actions to reduce these negative effects. As a result, this systematic review protocol aims to define the criteria to develop research able to fulfill this purpose. It is based in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) Statement.


2018 ◽  
Vol 43 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Carina Van Rooyen ◽  
Ruth Stewart ◽  
Thea De Wet

Big international development donors such as the UK’s Department for International Development and USAID have recently started using systematic review as a methodology to assess the effectiveness of various development interventions to help them decide what is the ‘best’ intervention to spend money on. Such an approach to evidence-based decision-making has long been practiced in the health sector in the US, UK, and elsewhere but it is relatively new in the development field. In this article we use the case of a systematic review of the impact of microfinance on the poor in sub-Saharan African to indicate how systematic review as a methodology can be used to assess the impact of specific development interventions.


2019 ◽  
Vol 14 (4) ◽  
pp. 500-513 ◽  
Author(s):  
Thane Cope ◽  
Sarah Wechter ◽  
Michaella Stucky ◽  
Corey Thomas ◽  
Mark Wilhelm

2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.


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