The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Sherif Gonem - One of the best experts on this subject based on the ideXlab platform.
-
effects of indoor Particulate Matter exposure on daily asthma control
Annals of Allergy Asthma & Immunology, 2019Co-Authors: Syed Hussain, Sarah Parker, Karen Edwards, Joanne Finch, Antoine P R Jeanjean, Roland Leigh, Sherif GonemAbstract:Abstract Background Household dust often contains aeroallergens, such as the house dust mite antigen Der p 1. It has been proposed that overnight exposure to Particulate Matter from bedding and other sources may be an important driver of atopic asthma. Whether variability in overnight Particulate Matter exposure is a significant determinant of asthma control is unknown. Objective To test the hypothesis that overnight Particulate Matter exposure is associated with day-to-day symptoms, lung function, and airway inflammation in patients with asthma who are sensitized to house dust mite. Methods We undertook a prospective, single-center panel study in 28 adults with asthma and house dust mite sensitization. Overnight exposure to Particulate Matter was measured using a commercially available indoor air quality monitor. Symptom scores, peak expiratory flow, and exhaled nitric oxide were measured and electronically recorded daily. Participants were followed up for 12 weeks and attended study visits every 4 weeks, at which they underwent spirometry and completed the Asthma Control Questionnaire and Asthma Quality of Life Questionnaire. Data were analyzed using cross-correlation and linear mixed-effects models. Results No significant associations were observed between overnight Particulate Matter exposure and clinical outcomes measured daily or at study visits. Conclusion Natural variability in overnight Particulate Matter exposure does not appear to be a major determinant of daily asthma control in patients with asthma and house dust mite sensitization.
Peter L. Jackson - One of the best experts on this subject based on the ideXlab platform.
-
Evaluating Human Exposure to Fine Particulate Matter Part I: Measurements
Geography Compass, 2010Co-Authors: Gail Millar, Tyler Abel, Janice Allen, Prabjit Barn, Melanie Noullett, John Spagnol, Peter L. JacksonAbstract:Exposure to airborne fine Particulate Matter has been a pressing issue since the early 1990s when several studies reported health effects at unexpectedly low ambient levels. Since this time, several reviews have addressed various aspects of this topic. This article is the first of a two-part review of reviews. The intention of these articles is to provide a consolidated overview about fine Particulate Matter exposure assessment. This article, Part I, begins with a general introduction to Particulate Matter which includes general properties of Particulate Matter, how it is classified and how it is associated with health effects. Fundamental concepts related to exposure are also summarized. The remainder of the article focuses on measurement-based methods for assessing exposure to fine Particulate Matter. A subsequent article, Part II, addresses modeling approaches used for Particulate Matter exposure assessment. Current and recommended future directions for assessing exposure to fine Particulate Matter are also summarized in each of these two articles.
Shuifen Zhan - One of the best experts on this subject based on the ideXlab platform.
-
Modeling Particulate Matter emissions during mineral loading process under weak wind simulation
Science of The Total Environment, 2013Co-Authors: Xiaochun Zhang, Weiping Chen, Shuifen ZhanAbstract:The quantification of Particulate Matter emissions from mineral handling is an important problem for the quantification of global emissions on industrial sites. Mineral Particulate Matter emissions could adversely impact environmental quality in mining regions, transport regions, and even on a global scale. Mineral loading is an important process contributing to mineral Particulate Matter emissions, especially under weak wind conditions. Mathematical models are effective ways to evaluate Particulate Matter emissions during the mineral loading process. The currently used empirical models based on the form of a power function do not predict Particulate Matter emissions accurately under weak wind conditions. At low Particulate Matter emissions, the models overestimated, and at high Particulate Matter emissions, the models underestimated emission factors. We conducted wind tunnel experiments to evaluate the Particulate Matter emission factors for the mineral loading process. A new approach based on the mathematical form of a logistical function was developed and tested. It provided a realistic depiction of the Particulate Matter emissions during the mineral loading process, accounting for fractions of fine mineral particles, dropping height, and wind velocity.
Gail Millar - One of the best experts on this subject based on the ideXlab platform.
-
Evaluating Human Exposure to Fine Particulate Matter Part I: Measurements
Geography Compass, 2010Co-Authors: Gail Millar, Tyler Abel, Janice Allen, Prabjit Barn, Melanie Noullett, John Spagnol, Peter L. JacksonAbstract:Exposure to airborne fine Particulate Matter has been a pressing issue since the early 1990s when several studies reported health effects at unexpectedly low ambient levels. Since this time, several reviews have addressed various aspects of this topic. This article is the first of a two-part review of reviews. The intention of these articles is to provide a consolidated overview about fine Particulate Matter exposure assessment. This article, Part I, begins with a general introduction to Particulate Matter which includes general properties of Particulate Matter, how it is classified and how it is associated with health effects. Fundamental concepts related to exposure are also summarized. The remainder of the article focuses on measurement-based methods for assessing exposure to fine Particulate Matter. A subsequent article, Part II, addresses modeling approaches used for Particulate Matter exposure assessment. Current and recommended future directions for assessing exposure to fine Particulate Matter are also summarized in each of these two articles.
Syed Hussain - One of the best experts on this subject based on the ideXlab platform.
-
effects of indoor Particulate Matter exposure on daily asthma control
Annals of Allergy Asthma & Immunology, 2019Co-Authors: Syed Hussain, Sarah Parker, Karen Edwards, Joanne Finch, Antoine P R Jeanjean, Roland Leigh, Sherif GonemAbstract:Abstract Background Household dust often contains aeroallergens, such as the house dust mite antigen Der p 1. It has been proposed that overnight exposure to Particulate Matter from bedding and other sources may be an important driver of atopic asthma. Whether variability in overnight Particulate Matter exposure is a significant determinant of asthma control is unknown. Objective To test the hypothesis that overnight Particulate Matter exposure is associated with day-to-day symptoms, lung function, and airway inflammation in patients with asthma who are sensitized to house dust mite. Methods We undertook a prospective, single-center panel study in 28 adults with asthma and house dust mite sensitization. Overnight exposure to Particulate Matter was measured using a commercially available indoor air quality monitor. Symptom scores, peak expiratory flow, and exhaled nitric oxide were measured and electronically recorded daily. Participants were followed up for 12 weeks and attended study visits every 4 weeks, at which they underwent spirometry and completed the Asthma Control Questionnaire and Asthma Quality of Life Questionnaire. Data were analyzed using cross-correlation and linear mixed-effects models. Results No significant associations were observed between overnight Particulate Matter exposure and clinical outcomes measured daily or at study visits. Conclusion Natural variability in overnight Particulate Matter exposure does not appear to be a major determinant of daily asthma control in patients with asthma and house dust mite sensitization.