Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations

Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM(10), NO(2), SO(2), O(3), and CO), meteorological factors (temperature, humidity, and wind speed), population rate, and clinical data for South Korea. The prediction model is well fitted to the incidenc...

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Detalles Bibliográficos
Autores principales: Youn, Jong-Sang, Seo, Jeong-Won, Park, Wonjun, Park, SeJoon, Jeon, Ki-Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399894/
https://www.ncbi.nlm.nih.gov/pubmed/32664192
http://dx.doi.org/10.3390/ijerph17144969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399894/
https://www.ncbi.nlm.nih.gov/pubmed/32664192
http://dx.doi.org/10.3390/ijerph17144969

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