Prediction of health effects of cross-border atmospheric pollutants using an aerosol forecast model
| Autor: | Shinji Otani, Yasunori Kurosaki, Yusuke Fujitani, Masanori Nojima, Kazunari Onishi, Takashi Maki, Youichi Kurozawa, Zentaro Yamagata, Masato Shinoda, Tsuyoshi Thomas Sekiyama |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Respiratory Tract Diseases Logit 010501 environmental sciences Global Health 01 natural sciences chemistry.chemical_compound Japan Statistics Humans Sulfate aerosol Generalized estimating equation lcsh:Environmental sciences 0105 earth and related environmental sciences General Environmental Science Aerosols lcsh:GE1-350 Air Pollutants Models Statistical Asian Dust Confounding Odds ratio Aerosol chemistry Quartile Environmental science Public Health Environmental Pollution Environmental Monitoring |
| Zdroj: | Environment International, Vol 117, Iss, Pp 48-56 (2018) |
| ISSN: | 0160-4120 |
| DOI: | 10.1016/j.envint.2018.04.035 |
| Popis: | Health effects of cross-border air pollutants and Asian dust are of significant concern in Japan. Currently, models predicting the arrival of aerosols have not investigated the association between arrival predictions and health effects. We investigated the association between subjective health symptoms and unreleased aerosol data from the Model of Aerosol Species in the Global Atmosphere (MASINGAR) acquired from the Japan Meteorological Agency, with the objective of ascertaining if these data could be applied to predicting health effects. Subjective symptom scores were collected via self-administered questionnaires and, along with modeled surface aerosol concentration data, were used to conduct a risk evaluation using generalized estimating equations between October and November 2011. Altogether, 29 individuals provided 1670 responses. Spearman's correlation coefficients were determined for the relationship between the proportion of the participants reporting the maximum score of two or more for each symptom and the surface concentrations for each considered aerosol species calculated using MASINGAR; the coefficients showed significant intermediate correlations between surface sulfate aerosol concentration and respiratory, throat, and fever symptoms (R = 0.557, 0.454, and 0.470, respectively; p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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