Spatial and temporal epidemiological characteristics of pulmonary tuberculosis and meteorological factor analysis
By visualizing the national tuberculosis incidence data(excluding Hong Kong,Macao and Tai-wan)from 2015 to 2019,the temporal and spatial prevalence characteristics of tuberculosis incidence in China were explored.The influence of relevant meteorological factors on the incidence of tuberculosis was investigated through spatial autocorrelation analysis and Lagrange multiplier(LM)test and using the spa-tial Durbin model of panel data.The results showed that January and March of each year were the high incidence periods of tuberculosis in China.The incidence of tuberculosis in China was spatially clustered,and the high incidence areas were the northwestern regions such as Xinjiang,Xizang,Qinghai.Temperature and humidity were negatively correlated with the incidence of tuberculosis in the local areas,and positively correlated with the incidence of tuberculosis in the surrounding areas.
tuberculosistime prevalence trendspatial distributionspatial Dubin model
万方数据
维普
