How air pollution altered the association of meteorological exposures and the incidence of dengue fever
How air pollution altered the association of meteorological exposures and the incidence of dengue fever
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DOI：
10.1088/1748-9326/aca59f
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发表时间：
2022-11
影响因子：
6.7
通讯作者：
Xu Ju;Wangjian Zhang;Wumitijiang Yimaer;Jia-xiang Lu;Jianpeng Xiao;Y. Qu;Gonghua Wu;Wenjing Wu;Yuqin Zhang;Shirui Chen;Xiao Lin;Ying Wang;Xinran Wang;Jie Jiang;Ziqiang Lin;Xiaowei Ma;Zhicheng Du;Yuantao Hao
中科院分区：
文献类型：
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作者：
Xu Ju;Wangjian Zhang;Wumitijiang Yimaer;Jia-xiang Lu;Jianpeng Xiao;Y. Qu;Gonghua Wu;Wenjing Wu;Yuqin Zhang;Shirui Chen;Xiao Lin;Ying Wang;Xinran Wang;Jie Jiang;Ziqiang Lin;Xiaowei Ma;Zhicheng Du;Yuantao Hao
气象暴露是导致登革热大流行的有充分证据的因素，据报道，空气污染有可能改变蚊子的行为和健康状况。然而，目前尚不清楚空气污染是否会改变气象暴露与登革热发病率之间的关系。我们将登革热监测数据与2015年至2019年广州地区监测点收集的气象和空气污染数据进行了匹配。我们建立了具有泊松分布的广义加性模型来回归4种气象暴露下的登革热日计数，同时控制污染和归一化差异植被指数来评估不同暴露下每个单位增加的登革热风险比(RR)。然后包括气象暴露和空气污染的相互作用项，以评估不同污染对这些联系的修正效果。每日登革热病例与一周的累积温度和降雨量呈非线性相关，而与湿度和风速无关。气温27.1℃以下和以上的相对误差分别为1.07(1.04，1.11)和0.95(0.88，1.03)；降水量20.3 mm以下和以上的相对误差分别为0.97(0.96，0.98)和1.05(1.01，1.08)。与低污染日数相比，低温、高SO2日风速和低降水对高PM2.5日和高SO2日的影响较大，P交互作用分别为0.037、0.030、0.022和0.018。而高SO2d高温和高PM2.5d高降水的RRS均较小，P交互作用分别为0.001和0.043。空气污染可能会改变气象和登革热之间的联系。低温、低降水和风速对登革热发生的影响在SO2水平较高的日子有增加的趋势，而高温的影响则减小。低降水对高PM2.5d的影响增大，而高降水的影响减小。
Meteorological exposures are well-documented factors underlying the dengue pandemics, and air pollution was reported to have the potential to change the behaviors and health conditions of mosquitos. However, it remains unclear whether air pollution could modify the association of meteorological exposures and the incidence of dengue fever. We matched the dengue surveillance data with the meteorological and air pollution data collected from monitoring sites from 2015 through 2019 in Guangzhou area. We developed generalized additive models with Poisson distribution to regress the daily counts of dengue against four meteorological exposures, while controlling for pollution and normalized difference vegetation index to evaluate the risk ratio (RR) of dengue for each unit increase in different exposures. The interaction terms of meteorological exposures and air pollution were then included to assess the modification effect of different pollution on the associations. Daily dengue cases were nonlinearly associated with one-week cumulative temperature and precipitation, while not associated with humidity and wind speed. RRs were 1.07 (1.04, 1.11) and 0.95 (0.88, 1.03) for temperature below and above 27.1 °C, 0.97 (0.96, 0.98) and 1.05 (1.01, 1.08) for precipitation below and above 20.3 mm, respectively. For the modification effect, the RRs of low-temperature, wind speed on higher SO2 days and low-precipitation on both higher PM2.5 and SO2 days were greater compared to the low-pollution days with P interaction being 0.037, 0.030, 0.022 and 0.018. But the RRs of both high-temperature on higher SO2 days and high-precipitation on higher PM2.5 d were smaller with P interaction being 0.001 and 0.043. Air pollution could alter the meteorology-dengue associations. The impact of low-temperature, low-precipitation and wind speed on dengue occurrence tended to increase on days with high SO2 levels while the impact of high-temperature decreased. The impact of low-precipitation increased on high-PM2.5 d while the impact of high-precipitation decreased.