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Pregled bibliografske jedinice broj: 1140363

Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution


Chen, James Ming; Zovko, Mira; Šimurina, Nika; Zovko, Vatroslav
Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution // International Journal of Environmental Research and Public Health, 18 (2021), 16; 1-59 doi:10.3390/ijerph18168688 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1140363 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution

Autori
Chen, James Ming ; Zovko, Mira ; Šimurina, Nika ; Zovko, Vatroslav

Izvornik
International Journal of Environmental Research and Public Health (1661-7827) 18 (2021), 16; 1-59

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
air pollution ; particulate matter ; PM2.5 ; public health ; environmental Kuznets curve ; machine learning ; supervised learning ; unsupervised learning ; clustering ; manifold learning ; dimensionality reduction ; principal component analysis ; European Union

Sažetak
This study evaluates numerous epidemiological, environmental, and economic factors affecting morbidity and mortality from PM2.5 exposure in the 27 member states of the European Union. This form of air pollution inflicts considerable social and economic damage in addition to loss of life and well-being. This study creates and deploys a comprehensive data pipeline. The first step consists of conventional linear models and supervised machine learning alternatives. Those regression methods do more than predict health outcomes in the EU-27 and relate those predictions to independent variables. Linear regression and its machine learning equivalents also inform unsupervised machine learning methods such as clustering and manifold learning. Lower-dimension manifolds of this dataset’s feature space reveal the relationship among EU-27 countries and their success (or failure) in managing PM2.5 morbidity and mortality. Principal component analysis informs further interpretation of variables along economic and health-based lines. A nonlinear environmental Kuznets curve may describe the fuller relationship between economic activity and premature death from PM2.5 exposure. The European Union should bridge the historical, cultural, and economic gaps that impair these countries’ collective response to PM2.5 pollution

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti, Javno zdravstvo i zdravstvena zaštita, Ekonomija, Informacijske i komunikacijske znanosti, Interdisciplinarne društvene znanosti



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb,
Učiteljski fakultet, Zagreb

Profili:

Avatar Url Nika Šimurina (autor)

Avatar Url Vatroslav Zovko (autor)

Avatar Url Mira Zovko (autor)

Citiraj ovu publikaciju

Chen, James Ming; Zovko, Mira; Šimurina, Nika; Zovko, Vatroslav
Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution // International Journal of Environmental Research and Public Health, 18 (2021), 16; 1-59 doi:10.3390/ijerph18168688 (međunarodna recenzija, članak, znanstveni)
Chen, J., Zovko, M., Šimurina, N. & Zovko, V. (2021) Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution. International Journal of Environmental Research and Public Health, 18 (16), 1-59 doi:10.3390/ijerph18168688.
@article{article, year = {2021}, pages = {1-59}, DOI = {10.3390/ijerph18168688}, keywords = {air pollution, particulate matter, PM2.5, public health, environmental Kuznets curve, machine learning, supervised learning, unsupervised learning, clustering, manifold learning, dimensionality reduction, principal component analysis, European Union}, journal = {International Journal of Environmental Research and Public Health}, doi = {10.3390/ijerph18168688}, volume = {18}, number = {16}, issn = {1661-7827}, title = {Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution}, keyword = {air pollution, particulate matter, PM2.5, public health, environmental Kuznets curve, machine learning, supervised learning, unsupervised learning, clustering, manifold learning, dimensionality reduction, principal component analysis, European Union} }
@article{article, year = {2021}, pages = {1-59}, DOI = {10.3390/ijerph18168688}, keywords = {air pollution, particulate matter, PM2.5, public health, environmental Kuznets curve, machine learning, supervised learning, unsupervised learning, clustering, manifold learning, dimensionality reduction, principal component analysis, European Union}, journal = {International Journal of Environmental Research and Public Health}, doi = {10.3390/ijerph18168688}, volume = {18}, number = {16}, issn = {1661-7827}, title = {Fear in a Handful of Dust: The Epidemiological, Environmental, and Economic Drivers of Death by PM2.5 Pollution}, keyword = {air pollution, particulate matter, PM2.5, public health, environmental Kuznets curve, machine learning, supervised learning, unsupervised learning, clustering, manifold learning, dimensionality reduction, principal component analysis, European Union} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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