A systematic review of remote sensing data in studying the association of air pollution and Asthma/Allergic Rhinitis
The World Health Organization estimated in 2019 that 262 million people around the globe suffered from asthma, while recent studies in Western societies point out that the prevalence of allergic rhinitis in children is 40%. Asthma is a respiratory disease that affects the airways of the lungs, while...
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| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Escuela de Salud Pública y Ambiente. Fac. Cs. Médicas UNC
2025
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/RSD/article/view/47409 |
| Aporte de: |
| Sumario: | The World Health Organization estimated in 2019 that 262 million people around the globe suffered from asthma, while recent studies in Western societies point out that the prevalence of allergic rhinitis in children is 40%. Asthma is a respiratory disease that affects the airways of the lungs, while allergic rhinitis is also a respiratory disease in which the nasal passages become inflamed due to an allergic reaction. The health of people suffering from these conditions could be significantly affected by high levels of particulate matter, nitrogen oxides, and other air pollutants. Through satellite remote sensing it is possible to detect and measure various of the mentioned pollutants. In this work, we performed a literature review to understand which and to what extent remote sensing data is used in the study of the association of air pollution and respiratory issues like asthma/allergic rhinitis. We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) methodology. We reviewed 41 articles from peer-reviewed journals obtained from four scientific databases - Google Scholar, Scopus, Web of Science, and PubMed –, published between 2013 and 2022. Our results show that the combined analysis of remotely sensed air pollution data and asthma/allergic rhinitis is under development. Most of the studies were published three years ago, carried out in urban environments, and mainly used MODIS data. While remote sensing data is increasingly used in air pollution studies, it is potentially possible to incorporate transdisciplinary approaches in academic studies. Further research and promotion of the integration of remote sensing products for mapping the relationship between air pollution and respiratory diseases are necessary. This proposal could aid in evaluating environmental factors and their relationship with respiratory diseases. |
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