Abstract

In this work we used daily outpatient data from the Landseed Hospital in a heavily industrial area in northern Taiwan to study the associations between daily outpatient visits and air pollution in the context of a heavily polluted atmospheric environment in Chung-Li area during the period 2007–2011. We test the normality of each data set, control for the confounding factors, and calculate correlation coefficient between the outpatient visits and air pollution and meteorology, and use multiple linear regression analysis to seek significance of these associations. Our results show that temperature and relative humidity tend to be negatively associated with respiratory diseases. NO and are two main air pollutants that are positively associated with respiratory diseases, followed by , , , CO, and . Young outpatients (age 0–15 years) are most sensitive to changing air pollution and meteorology factors, followed by the eldest (age 66 years) and age 16–65 years of outpatients. Outpatients for COPD diseases are most sensitive to air pollution and meteorology factors, followed by allergic rhinitis, asthma, and pneumonia diseases. In the context of sex difference to air pollution and meteorological factors, male outpatients are more sensitive than female outpatients in the 16–65 age groups, while female outpatients are more sensitive than male outpatients in the young 0–15 age groups and in the eldest age groups. In total, female outpatients are more sensitive to air pollution and meteorological factors than male outpatients.

Highlights

  • Taiwan contains high density of industrial factories using fossil fuel as a main source of energy to power Taiwan’s economy [1]

  • For the age 0–15 group of outpatients (Figure 2a), most of the daily visits were for pneumonia disease, followed by allergic rhinitis, asthma, and chronic obstructive pulmonary disease (COPD)

  • In this work we used outpatient data from a hospital in a heavily industrial area in Taiwan to study the association between public health and air pollution in the context of a heavily polluted atmospheric environment during the period 2007–2011

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Summary

Introduction

Taiwan contains high density of industrial factories using fossil fuel as a main source of energy to power Taiwan’s economy [1]. Hwang and Chan [12] used the NHI database to study effects of air pollution on daily clinic visits for lower respiratory tract illness in 50 townships in Taiwan during 1998. In this work we used outpatient data from a hospital in a heavily industrial area in northern Taiwan to study the association between daily outpatient visits and daily air pollution levels in the context of a heavily polluted atmospheric environment during the period 2007–2011. There are four diseases from which data of daily outpatient visits were analyzed and their correlations with daily air pollutants and meteorology were calculated. 5. Multiple Linear Regression Model Analysis In this work we use multiple linear regression analysis to account for confounding effects when associating daily hospital visits for diseases with air pollutants and meteorological factors. The results that are statistically most significant are shown

Daily Outpatients For Respiratory System Diseases During 2007–2011
Test of Normality for Air Pollutant and Meteorology
Attributing Disease’s Environmental Effect
Summary
16–65 Age Group male female
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