气象因素和空气污染物与肺结核(PTB)的传播有关,但很少有研究研究它们的相互作用对PTB的影响。因此,本研究调查了气象因素和大气污染物及其相互作用对乌鲁木齐市PTB风险的影响,PTB患病率高且空气污染程度高的城市。收集了2014年至2019年乌鲁木齐市八区新增的PTB病例数,以及同期的气象因素和空气污染物数据。应用广义加性模型探讨了气象因素和空气污染物及其相互作用对PTB发生风险的影响。采用分段线性回归估计气象因素对PTB影响的非线性特征。在2014-2019年期间,八个地区共报告了14,402例新的PTB病例,3月至5月是PTB发病率高的月份。温度(温度)的暴露-响应曲线,相对湿度(RH),风速(WS),空气压力(AP),昼夜温差(DTR)通常呈倒“U”形,相应的阈值为-5.411°C,52.118%,3.513m/s,1021.625hPa,和8.161°C,分别。大气污染物对PTB的影响呈线性且滞后。所有空气污染物均与PTB呈正相关,除了与PTB无关的O3,对PTB的影响的ER值如下:PM2.5为0.931(0.255,1.612),PM10为1.028(0.301,1.760),SO2为5.061(0.387,9.952),NO2为2.830(0.512,5.200),CO为5.789(1.508,10.251)。气象因素和空气污染物对PTB有交互影响。在高温-高空气污染物中发生PTB的风险较高,高RH-高空气污染物,高WS-高空气污染物,低AP-高空气污染物,和高DTR-高空气污染物。总之,气象和污染物因素都对PTB有影响,对PTB的影响可能存在相互作用。
Meteorological factors and air pollutants are associated with the spread of pulmonary tuberculosis (PTB), but few studies have examined the effects of their interactions on PTB. Therefore, this
study investigated the impact of meteorological factors and air pollutants and their interactions on the risk of PTB in Urumqi, a city with a high prevalence of PTB and a high level of air pollution. The number of new PTB cases in eight districts of Urumqi from 2014 to 2019 was collected, along with data on meteorological factors and air pollutants for the same period. A generalized additive model was applied to explore the effects of meteorological factors and air pollutants and their interactions on the risk of PTB incidence. Segmented linear regression was used to estimate the nonlinear characteristics of the impact of meteorological factors on PTB. During 2014-2019, a total of 14,402 new cases of PTB were reported in eight districts, with March to May being the months of high PTB incidence. The exposure-response curves for temperature (Temp), relative humidity (RH), wind speed (WS), air pressure (AP), and diurnal temperature difference (DTR) were generally inverted \"U\" shaped, with the corresponding threshold values of - 5.411 °C, 52.118%, 3.513 m/s, 1021.625 hPa, and 8.161 °C, respectively. The effects of air pollutants on PTB were linear and lagged. All air pollutants were positively associated with PTB, except for O3, which was not associated with PTB, and the ER values for the effects on PTB were as follows: 0.931 (0.255, 1.612) for PM2.5, 1.028 (0.301, 1.760) for PM10, 5.061 (0.387, 9.952) for SO2, 2.830 (0.512, 5.200) for NO2, and 5.789 (1.508, 10.251) for CO. Meteorological factors and air pollutants have an interactive effect on PTB. The risk of PTB incidence was higher when in high Temp-high air pollutant, high RH-high air pollutant, high WS-high air pollutant, lowAP-high air pollutant, and high DTR-high air pollutant. In conclusion, both meteorological and pollutant factors had an influence on PTB, and the influence on PTB may have an interaction.