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Atmosphere
Special Issues
Air Quality and Its Impacts on Public Health
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Air Quality and Its Impacts on Public Health

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

Deadline for manuscript submissions: 31 May 2026 | Viewed by 786

Special Issue Editors

Dr. Paula Ramires

E-Mail Website
Guest Editor
Postgraduate Program in Environmental Sciences, Federal University of Pelotas, Pelotas, Brazil
Interests: environmental health; ecotoxicology; air pollution; environmental pollution; environmental justice; climate change; human health risk assessment; air quality
Dr. Ronan Adler Tavella

E-Mail Website
Guest Editor
Institute of Environmental, Chemical and Pharmaceutical Sciences, Federal University of São Paulo, São Paulo 09913-030, Brazil
Interests: air quality; coarse particulate matter; fine particulate matter; environmental impact; health effects; modelling; predictive scenarios
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kai-Jen Chuang

E-Mail Website
Guest Editor
Department of Public Health, Taipei Medical University, Taipei 110, Taiwan
Interests: air pollution measurement, prevention and intervention; cardiovascular health; respiratory health; environmental epidemiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air pollution impacts human health, being one of the leading causes of morbidity worldwide, with the most vulnerable populations suffering the most from these health impacts. The consequences on human health depend on air quality, which is influenced by meteorological factors, concentrating or dispersing atmospheric pollutants. Therefore, the use of tools to assess risks and health impacts is important for guiding public policies. Furthermore, the use of mathematical models to simulate scenarios is also relevant for managers making decisions to make cities more sustainable.

This Special Issue seeks to gather research papers that discuss the influence of climate variability and change on air quality and, consequently, on human health. Research papers that use modeling tools to simulate scenarios to show the influence of climate variability on air quality and its impacts on health are also welcome. Understanding how air quality can be affected by climate change contributes to understanding the risks and impact on human health. Furthermore, identifying populations most vulnerable to these risks can aid in monitoring and adopting mitigation measures in public health.

Dr. Paula Ramires
Dr. Ronan Adler Tavella
Prof. Dr. Kai-Jen Chuang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

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 pollution
  • climate change
  • public health
  • impacts human health
  • machine learning
  • justice ambiental
  • health risk

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Published Papers (1 paper)

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Research

15 pages, 1259 KB  
Article
Research on the Impact of PM2.5 Pollution and Climate Change on Respiratory Diseases in Chinese Children Based on XGBoost-SHAP
by Donger Wang, Xiaoyan Dai and Liguo Zhou
Atmosphere 2026, 17(4), 391; https://doi.org/10.3390/atmos17040391 - 13 Apr 2026
Viewed by 442
Abstract
Children are among the most sensitive groups to air pollution. This study focuses on Chinese children aged 0–16 years, integrating six waves of tracking data from the China Family Panel Studies (CFPS, 2012–2022), the ChinaHighAirPollutants (CHAP) dataset, and MOD11A1 land surface temperature (LST) [...] Read more.
Children are among the most sensitive groups to air pollution. This study focuses on Chinese children aged 0–16 years, integrating six waves of tracking data from the China Family Panel Studies (CFPS, 2012–2022), the ChinaHighAirPollutants (CHAP) dataset, and MOD11A1 land surface temperature (LST) data, covering 20,241 samples across 25 provinces. Using the eXtreme Gradient Boosting–SHapley Additive exPlanations (XGBoost-SHAP) framework, we quantified the relative contributions of fine particulate matter (PM2.5), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and climate factors to children’s respiratory disease risk. The overall area under curve (AUC) was 0.6765, with urban and rural sub-models achieving 0.6576 and 0.6864, respectively. SHAP analysis revealed that the temporal variable ranked first, reflecting population-level improvements from 2012 to 2022; age ranked second, with a 70.1% prevalence in the 0–6 age group. Rural PM2.5 contribution was approximately 1.68 times that of urban areas; the O3 effect showed opposite directions between urban (risk) and rural (protective association) settings; solid fuel contribution in rural areas was approximately 2.25 times the urban level. Regional clustering analysis identified differentiated environmental drivers across five geographic types. These findings provide a quantitative basis for differentiated regional prevention strategies. Full article
(This article belongs to the Special Issue Air Quality and Its Impacts on Public Health)
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