Air Pollution Exposure and Health Impact Assessment (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality and Human Health".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2978

Special Issue Editors


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Guest Editor
School of Medicine, European University Cyprus, Egkomi 2404, Cyprus
Interests: health risk assessment; occupational health & safety; public health; air pollution; process safety
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Guest Editor
School of Medicine, European University of Cyprus, Nicosia 2404, Cyprus
Interests: epidemiology; infection control and prevention; health technology assessment
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Guest Editor
Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong, China
Interests: remote sensing; aerosols; air pollutions; public health
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Special Issue Information

Dear Colleagues,

This Special Issue is a follow-up to the first Special Issue entitled “Air Pollution Exposure and Health Impact Assessment” (https://0-www-mdpi-com.brum.beds.ac.uk/journal/atmosphere/special_issues/4SV33032J5) published in Atmosphere in 2023.

This Special Issue aims to provide recent advances in the field of “Air Pollution Exposure and Health Impact Assessment”. Air pollution exposure, including ambient air pollution and household air pollution, has been associated with several adverse health effects, such as heart diseases, stroke, chronic obstructive pulmonary disease, pneumonia and lung cancer. The path from exposure to health impact follows several steps: exposure concentration → internal dose → sub-clinical effects → early effects → adverse effects. Different types of studies, e.g., epidemiological, have been conducted in an effort to investigate the relationship between exposure and health impact. Mathematical models, sampling technologies, analysis methods, and remote sensing are used to perform exposure estimation. Individual mobile devices are used to acquire personal activity and location data. Additionally, biomarker data, including biomarkers of exposure, effect, and susceptibility, are collected and analyzed to further elucidate the relationship between exposure and disease. Recently, the concept of the exposome has been introduced in exposure science; it can be defined as the measure of all the exposures of an individual in their lifetime and how those exposures relate to health. Exposomics (the study of the exposome) as well as genomics, metabonomics, lipidomics, transcriptomics and proteomics are being developed to better understand exposure–disease causation, as well as disease progress and mechanisms. The main goal of the study of exposure and health impact is to prevent disease through effective mitigation measures, such as the usage of clean energy, air pollutant emission regulation, and adequate transport networks of rapid transit combined with walking and cycling. This Special Issue aims to showcase recent scientific and technological advances in exposure estimation through geographic information technologies, biomonitoring for internal exposure and/or effects, exposure model development, causation identification between exposure and health impacts, and mitigation measures for exposure reduction.

Original results from field and laboratory measurements, observational studies, models, and review papers related to air pollution exposure and health impact assessment are all welcome contributions.

Dr. Christos Argyropoulos
Dr. Zoi Dorothea Pana
Dr. Changqing Lin
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • air pollutant
  • air quality standards
  • environmental exposure assessment
  • biomarker
  • exposome
  • remote sensing
  • susceptibility
  • dose–response relationship
  • model development
  • sampling and analysis method
  • respiratory and cardiovascular diseases
  • public health interventions
  • health impact modelling
  • health effects

Published Papers (3 papers)

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Research

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18 pages, 7240 KiB  
Article
Prevalence Distribution of Chronic Obstructive Pulmonary Disease (COPD) in the City of Osorno (Chile) in 2018, and Its Association with Fine Particulate Matter PM2.5 Air Pollution
by Ricardo Fernández, Romina Peña, Jaime Bravo-Alvarado, Kevin R. Maisey, Edison P. Reyes, Daniel Ruiz-Plaza De Los Reyes and Rodrigo Márquez-Reyes
Atmosphere 2024, 15(4), 482; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos15040482 - 13 Apr 2024
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Abstract
Outdoor air pollution and biomass smoke exposure are related to the prevalence of chronic obstructive pulmonary disease (COPD). Since Osorno, Chile, is saturated with fine particulate matter (PM2.5), the aim of this work is to determine the prevalence distribution of COPD [...] Read more.
Outdoor air pollution and biomass smoke exposure are related to the prevalence of chronic obstructive pulmonary disease (COPD). Since Osorno, Chile, is saturated with fine particulate matter (PM2.5), the aim of this work is to determine the prevalence distribution of COPD patients in the Primary Health Care (PHC) system in the city of Osorno, and its relationship with PM2.5. A cross-sectional descriptive study was carried out on COPD patients enrolled in the six PHC centers (PHCCs) of the city to assess the adjusted prevalence (population over 40 years). Gender- and territory-associated odds ratios (ORs) were also determined. In addition, an urban analysis of the distribution of PM2.5 and an exploratory analysis of the spatial behavior of enrolled COPD patients through featured binning were carried out. In 2018, the city of Osorno had 809 enrolled COPD patients in the PHC system (55.1% female), with a 1.3% age-adjusted prevalence (inhabitants over 40 years old), which was 11.7% after underdiagnosis correction. The COPD patients were mainly between 70 and 79 years old (34.3%). The urban area under the administration of the PHCC Rahue Alto (PHCC-RA) had a higher OR (1.98 [1.73–2.26]) compared to the situation of the city. Also, air pollution (PM2.5) was the highest in the PHCC-RA area, which could account for the observed prevalence. The number of COPD patients in this area is the highest in the commune, which increases the risk of complications derived from the disease and air pollution. Thus, territories with the highest COPD prevalence have the largest OR, which could complicate patients’ condition due to the high levels of outdoor air pollution. Full article
(This article belongs to the Special Issue Air Pollution Exposure and Health Impact Assessment (2nd Edition))
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11 pages, 1446 KiB  
Article
Risk Estimation of Heavy Metals Associated with PM2.5 in the Urban Area of Cuernavaca, México
by Alhelí Brito-Hernández, Hugo Saldarriaga-Noreña, Mauricio Rosales-Rivera, Maria-Luisa García-Betancourt, Mario Alfonso Murillo-Tovar, Mariana Romero-Aguilar, Violeta Mugica-Alvarez, José de Jesús Díaz-Torres and José de Jesús Figueroa-Lara
Atmosphere 2024, 15(4), 409; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos15040409 - 26 Mar 2024
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Abstract
The city of Cuernavaca has experienced a significant deterioration in air quality in recent years. Despite this situation, few studies in the region have constantly monitored this problem. The objective of this study was to determine the concentrations of heavy metals in PM [...] Read more.
The city of Cuernavaca has experienced a significant deterioration in air quality in recent years. Despite this situation, few studies in the region have constantly monitored this problem. The objective of this study was to determine the concentrations of heavy metals in PM2.5 in three representative sites of the city and estimate the risks posed to human health and the environment. The results revealed concentrations in the following order of abundance: Fe > Al > Mg > Zn > As > Ni > V > Pb > Mn. The EF indicated that As comes mainly from anthropogenic emissions; Zn, V, Pb, and Ni come from natural and anthropogenic sources; and Mn, Fe and Al have a natural origin derived from the soil. The Igeo, As, Pb and Zn were greater than five, followed by V and Ni, whose values ranged between two and three. The ecological RI was far greater than 600 in all cases. The HQ revealed that all values were below one, indicating that the health risk posed by exposure to ambient air is below that established by the USEPA. The Ni ILCR values for adults were 1.03 × 10−5, followed by 2.9 × 10−6 and 1.6 × 10−7 for Pb and As, respectively. For children, the values were in the following order: Pb (1.2 × 10−6), Ni (4.8 × 10−6) and As (7.5 × 10−6). These findings suggest that Cuernavaca’s air has moderate to heavy contamination levels, which must be taken into account by environmental authorities so that measurements can be taken to help reverse this situation. Full article
(This article belongs to the Special Issue Air Pollution Exposure and Health Impact Assessment (2nd Edition))
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Review

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28 pages, 13624 KiB  
Review
State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review
by Hasan Tariq, Farid Touati, Damiano Crescini and Adel Ben Mnaouer
Atmosphere 2024, 15(4), 471; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos15040471 - 11 Apr 2024
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Abstract
Indoor air quality and respiratory health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spiked during the pandemic when indoor air pollution became a threat to living beings, [...] Read more.
Indoor air quality and respiratory health have always been an area of prime interest across the globe. The significance of low-cost air quality sensing and indoor public health practices spiked during the pandemic when indoor air pollution became a threat to living beings, especially human beings. Problem Definition: Indoor respiration-associated diseases are hard to diagnose if they are due to indoor environmental conditions. A major challenge was observed in establishing a baseline between indoor air quality sensors and associated respiratory diseases. Methods: In this work, 10,000+ articles from top literature databases were reviewed using six bibliometric analysis methods (Lorenz Curve of Citations, Hirch’s H-Index, Kosmulski’s H2-Index, Harzing’s Hl-Norm-Index, Sidoropolous’s HC-Index, and Schrieber’s HM-index) to formulate indoor air quality sensor and disease correlation publication rubrics to critically review 482 articles. Results: A set of 152 articles was found based on systematic review parameters in six bibliometric indices for publications that used WHO, NIH, US EPA, CDC, and FDA-defined principles. Five major respiratory diseases were found to be causing major death toll (up to 32%) due to five key pollutants, measured by 30+ low-cost sensors and further optimized by seven calibration systems for seven practical parameters tailored to respiratory disease baselines evaluated through 10 cost parameters. Impact: This review was conducted to assist end-users, public health facilities, state agencies, researchers, scientists, and air quality protection agencies. Full article
(This article belongs to the Special Issue Air Pollution Exposure and Health Impact Assessment (2nd Edition))
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