The influence of meteorological parameters and air pollution on emergency department visits of cardiovascular and respiratory diseases in coastal bend, Texas

Authors: Jun Xiao*, College of Sciences and Engineering, Texas A&M University Corpus Christi, Geospatial System Engineering Program, Lucy Huang, College of Sciences and Engineering, Texas A&M University Corpus Christi , Hua Zhang, College of Sciences and Engineering, Texas A&M University Corpus Christi, Lei Jin, Department of Mathematics & Statistics, Texas A&M University Corpus Christi
Topics: Geographic Information Science and Systems
Keywords: Time-Series, Meteorological Parameters, Air Pollution, Emergency Department Visits
Session Type: Poster
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


The objective of this study is to investigate the associations between meteorological parameters, air pollution and emergency department (ED) visits for respiratory, cardiovascular diseases in coastal bend, Texas. Generalized additive models (GAM) and generalized linear models (GLM) both with controlling for time trends from October 1, 2010 to August 31, 2012 were employed to examine the relationships for respiratory and cardiovascular diseases respectively. Distributed lag nonlinear models (DLNM) was applied to explore the effects of meteorological parameters and air pollution on the relative risk (RR) of morbidity on current day (lag 0) to the first ten days (lag 10). The results indicate that the four air pollution variables SO2, Ozone, PM2.5, PM10 and three meteorological parameters Temperature, Relative Humidity, Precipitation have significant influence on respiratory diseases with RR more than 1. Among all these variables, Ozone was associated with the largest RR for respiratory morbidity. PM2.5, PM10 and Temperature, Relative Humidity, Precipitation were positively associated with cardiovascular diseases. The influence of these variables remains significant whether it is in the models with only one variables or the models with multiple variables. In conclusion, we identified both meteorological parameters, air pollution have significant effects on emergency department (ED) visits for respiratory and cardiovascular diseases during October 1, 2010 to August 31, 2012 in coastal bend, Texas. These findings may have implications for local hospitalization prevention policies.

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