ABSTRACT

This study attempted to understand the associations between pneumonia, climate, and environmental air pollutants in Thailand. A 12-year longitudinal study was performed between 2003 and 2014 in Lampang province, the Northern region of Thailand. Spearman correlation and negative binomial regression modelling were used to explore the relationships between climate factors and environmental air pollutants and pneumonia incidence. Spearman correlation shows that pneumonia incidence was positively correlated with humidity and negatively correlated with temperature, NO₂, and O₃. The regression modelling produced a series of models to predict pneumonia incidence based on information on climate and air quality. The result of the models shows that humidity and PM₁₀ were associated with pneumonia incidence. To better protect the health, public health policy and risk assessment approach for pneumonia incidence should include considerations of the effect of air pollution. This result can be used for further intervention to take care of human health.

摘要

本研究试图了解泰国肺炎、气候和环境空气污染物之间的关系。2003 年至 2014 年间，在泰国北部地区的南邦府进行了一项为期 12 年的纵向研究。采用Spearman相关和负二项回归模型探讨气候因素与环境空气污染物和肺炎发病率之间的关系。Spearman相关性表明肺炎发病率与湿度呈正相关，与温度、NO ₂和O ₃呈负相关。回归模型产生了一系列模型，根据气候和空气质量信息预测肺炎发病率。模型结果表明，湿度和 PM ₁₀与肺炎发病率有关。为了更好地保护健康，肺炎发病率的公共卫生政策和风险评估方法应考虑空气污染的影响。该结果可用于进一步干预以照顾人类健康。