Abstract

Nowadays, most of the research on air pollution and its adverse effects on public health in China has focused on megacities and heavily-polluted regions. Fewer studies have focused on cities that are slightly polluted. Shenzhen used to have a favorable air environment, but its air quality has deteriorated gradually as a result of development in recent years. So far, no systematic investigations have been conducted on the adverse effects of air pollution on public health in Shenzhen. This research has applied a time series analysis model to study the possible association between different types of air pollution and respiratory hospital admission in Shenzhen in 2013. Respiratory hospital admission was divided into two categories for comparison analysis among various population groups: acute upper respiratory infection and acute lower respiratory infection. The results showed that short-term exposure to ambient air pollution was significantly associated with acute respiratory infection hospital admission in Shenzhen in 2013. Children under 14 years old were the main susceptible population of acute respiratory infection due to air pollution. PM10, PM2.5 and NO2 were the primary air pollutants threatening respiratory health in Shenzhen. Though air pollution level is generally relatively low in Shenzhen, it will benefit public health to control the pollution of particulate matter as well as other gaseous pollutants.

Highlights

  • Recent research studies have found that air pollution has significant direct and indirect adverse effects on public health in China [1,2,3]

  • Most of the research on air pollution and its adverse effects on public health in China have focused on megacities and heavily polluted regions including Beijing [10,11], Chongqing [12], Shanghai [13,14], Xi’an [15], and Wuhan [16,17], while few studies have focused on cities with relatively low pollution levels

  • I =1 where t is the day for observation; E(Yt ) is the expected number of daily respiratory hospital admission on day t; α is the intercept term; DOW is the indicator variable for the day of week, as the dummy variable; β represents the log-relative rate of hospital admission associated with a unit increase of air pollutants; Xt− L indicates the pollutant concentrations at L days before day t; S(time, df) represents the smoothing function of calendar time; and S(Zt, df) represents the smoothing functions of the meteorological variables, in this case average temperature, pressure, relative humidity(df = 3), respectively

Read more

Summary

Introduction

Recent research studies have found that air pollution has significant direct and indirect adverse effects on public health in China [1,2,3]. The level of sensitivity to air pollution may vary among different population groups with different health conditions and ages [4,5,6,7]. Most of the research on air pollution and its adverse effects on public health in China have focused on megacities and heavily polluted regions including Beijing [10,11], Chongqing [12], Shanghai [13,14], Xi’an [15], and Wuhan [16,17], while few studies have focused on cities with relatively low pollution levels. NO and hospital admissions for respiratory disease in PM2.5 ) and hospital admissions for respiratory disease in Shenzhen in 2013

Data and Methods
Hospital Admission Data
Statistical Analysis Model for Time Series Study
Statistical and General Analysis
Comparison among Different Groups
The timetwo forage thegroups female group for the male group and
Discussion
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call