This study aims to assess and compare levels of particulate matter(PM10 and PM2.5)in urban and industrial areas in Malaysia during haze episodes,which typically occur in the south west monsoon season.The high concentr...This study aims to assess and compare levels of particulate matter(PM10 and PM2.5)in urban and industrial areas in Malaysia during haze episodes,which typically occur in the south west monsoon season.The high concentrations of atmospheric particles are mainly due to pollution from neighbouring countries.Daily PM concentrations were analysed for urban and industrial areas including Alor Setar,Tasek,Shah Alam,Klang,Bandaraya Melaka,Larkin,Balok Baru,and Kuala Terengganu in 2018 and 2019.The analysis employed spatiotemporal to examine how PM levels were distributed.The data summary revealed that PM levels in all study areas were right-skewed,indicating the occurrence of high particulate events.Significant peaks in PM concentrations during haze events were consistently observed between June and October,encompassing the south west monsoon and inter-monsoon periods.The study on acute respiratory illnesses primarily focused on Selangor.Analysis revealed that Klang had the highest mean number of inpatient cases for acute exacerbation of bronchial asthma(AEBA)and acute exacerbation of chronic obstructive pulmonary disease(AECOPD)with values of 260.500 and 185.170,respectively.Similarly,for outpatient cases of AEBA and AECOPD,Klang had the highest average values of 41.67 and 14.00,respectively.Shah Alam and Sungai Buloh did not show a significant increase in cases during periods of biomass burning.The statistical analysis concluded that higher concentrations of PM were associated with increased hospital admissions,particularly from June to September,as shown in the bar diagram.Haze episodes were associated with more healthcare utilization due to haze-related respiratory illnesses,seen in higher inpatient and outpatient visits(p<0.05).However,seasonal variability had minimal impact on healthcare utilization.These findings offer a comprehensive assessment of PM levels during historic haze episodes,providing valuable insights for authorities to develop policies and guidelines for effective monitoring and mitigation of the negative impacts of haze events.展开更多
目的探讨山东省四城市气温与大气细颗粒物(PM_(2.5))对人群呼吸系统疾病影响的交互作用。方法分别收集四城市部分医院内科2019—2021年逐日呼吸系统疾病门诊量以及气象、大气PM_(2.5)等逐日监测资料,对气象因素、PM_(2.5)、人群呼吸系...目的探讨山东省四城市气温与大气细颗粒物(PM_(2.5))对人群呼吸系统疾病影响的交互作用。方法分别收集四城市部分医院内科2019—2021年逐日呼吸系统疾病门诊量以及气象、大气PM_(2.5)等逐日监测资料,对气象因素、PM_(2.5)、人群呼吸系统疾病门诊量进行Pearson相关分析,采用分布式滞后非线性模型估计气温与大气PM_(2.5)对人群呼吸系统疾病就诊的影响,利用超额相对风险(relative excess risk due to interaction,RERI)评估大气PM_(2.5)与气温之间的潜在交互作用。结果日均气温与PM_(2.5)呈负相关关系,相关系数为-0.471(P<0.01);呼吸系统疾病就诊量与日均气温、平均相对湿度呈负相关关系而与PM_(2.5)呈正相关关系,相关系数分别为-0.059、-0.056、0.10(P<0.01);济南市日均气温和PM_(2.5)之间存在拮抗交互作用,其RERI值及95%CI为-0.11(-0.15,-0.08);淄博、滨州、菏泽三城市日均气温和PM_(2.5)之间表现为协同交互作用,其RERI值及95%CI分别为0.04(0.04,0.04)、0.10(0.10,0.11)、0.03(0.02,0.05),且具有统计学意义(P<0.05)。结论日平均气温对PM_(2.5)所致呼吸系统疾病的发生可能存在修饰作用,且二者的交互效应可能存在地域性差异。展开更多
文摘This study aims to assess and compare levels of particulate matter(PM10 and PM2.5)in urban and industrial areas in Malaysia during haze episodes,which typically occur in the south west monsoon season.The high concentrations of atmospheric particles are mainly due to pollution from neighbouring countries.Daily PM concentrations were analysed for urban and industrial areas including Alor Setar,Tasek,Shah Alam,Klang,Bandaraya Melaka,Larkin,Balok Baru,and Kuala Terengganu in 2018 and 2019.The analysis employed spatiotemporal to examine how PM levels were distributed.The data summary revealed that PM levels in all study areas were right-skewed,indicating the occurrence of high particulate events.Significant peaks in PM concentrations during haze events were consistently observed between June and October,encompassing the south west monsoon and inter-monsoon periods.The study on acute respiratory illnesses primarily focused on Selangor.Analysis revealed that Klang had the highest mean number of inpatient cases for acute exacerbation of bronchial asthma(AEBA)and acute exacerbation of chronic obstructive pulmonary disease(AECOPD)with values of 260.500 and 185.170,respectively.Similarly,for outpatient cases of AEBA and AECOPD,Klang had the highest average values of 41.67 and 14.00,respectively.Shah Alam and Sungai Buloh did not show a significant increase in cases during periods of biomass burning.The statistical analysis concluded that higher concentrations of PM were associated with increased hospital admissions,particularly from June to September,as shown in the bar diagram.Haze episodes were associated with more healthcare utilization due to haze-related respiratory illnesses,seen in higher inpatient and outpatient visits(p<0.05).However,seasonal variability had minimal impact on healthcare utilization.These findings offer a comprehensive assessment of PM levels during historic haze episodes,providing valuable insights for authorities to develop policies and guidelines for effective monitoring and mitigation of the negative impacts of haze events.
文摘目的探讨山东省四城市气温与大气细颗粒物(PM_(2.5))对人群呼吸系统疾病影响的交互作用。方法分别收集四城市部分医院内科2019—2021年逐日呼吸系统疾病门诊量以及气象、大气PM_(2.5)等逐日监测资料,对气象因素、PM_(2.5)、人群呼吸系统疾病门诊量进行Pearson相关分析,采用分布式滞后非线性模型估计气温与大气PM_(2.5)对人群呼吸系统疾病就诊的影响,利用超额相对风险(relative excess risk due to interaction,RERI)评估大气PM_(2.5)与气温之间的潜在交互作用。结果日均气温与PM_(2.5)呈负相关关系,相关系数为-0.471(P<0.01);呼吸系统疾病就诊量与日均气温、平均相对湿度呈负相关关系而与PM_(2.5)呈正相关关系,相关系数分别为-0.059、-0.056、0.10(P<0.01);济南市日均气温和PM_(2.5)之间存在拮抗交互作用,其RERI值及95%CI为-0.11(-0.15,-0.08);淄博、滨州、菏泽三城市日均气温和PM_(2.5)之间表现为协同交互作用,其RERI值及95%CI分别为0.04(0.04,0.04)、0.10(0.10,0.11)、0.03(0.02,0.05),且具有统计学意义(P<0.05)。结论日平均气温对PM_(2.5)所致呼吸系统疾病的发生可能存在修饰作用,且二者的交互效应可能存在地域性差异。
