Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urb...Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urban areas remain poorly understood.This study aims to identify the spatial diferentiations and potential infuencing factors of TB in highly urbanized regions on a fne scale.Methods:This study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou,China.TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention.Before using Pearson correlation and a geographical detector(GD)to identify potential infuencing factors,we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales.Results:Owing to its strong spatial autocorrelation(Moran’s I=0.33,Z=4.71),the 2 km×2 km grid was selected as the spatial scale.At this level,TB incidence was closely associated with most socioeconomic variables(0.31<r<0.76,P<0.01).Of fve environmental factors,only the concentration of fne particulate matter displayed signifcant correlation(r=0.21,P<0.05).Similarly,in terms of q values derived from the GD,socioeconomic variables had stronger explanatory abilities(0.08<q<0.57)for the spatial diferentiation of the 2017 incidence of TB than environmental variables(0.06<q<0.27).Moreover,a much larger proportion(0.16<q<0.89)of the spatial diferentiation was interpreted by pairwise interactions,especially those(0.60<q<0.89)related to the 2016 incidence of TB,ofcially appointed medical institutions,bus stops,and road density.Conclusions:The spatial heterogeneity of the 2017 incidence of TB in the study area was considerably infuenced by several socioeconomic and environmental factors and their pairwise interactions on a fne scale.We suggest that more attention should be paid to the units with pairwise interacting factors in Guangzhou.Our study provides helpful clues for local authorities implementing more efective intervention measures to reduce TB incidence in China’s municipal areas,which are featured by both a high degree of urbanization and a high incidence of TB.展开更多
文摘Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urban areas remain poorly understood.This study aims to identify the spatial diferentiations and potential infuencing factors of TB in highly urbanized regions on a fne scale.Methods:This study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou,China.TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention.Before using Pearson correlation and a geographical detector(GD)to identify potential infuencing factors,we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales.Results:Owing to its strong spatial autocorrelation(Moran’s I=0.33,Z=4.71),the 2 km×2 km grid was selected as the spatial scale.At this level,TB incidence was closely associated with most socioeconomic variables(0.31<r<0.76,P<0.01).Of fve environmental factors,only the concentration of fne particulate matter displayed signifcant correlation(r=0.21,P<0.05).Similarly,in terms of q values derived from the GD,socioeconomic variables had stronger explanatory abilities(0.08<q<0.57)for the spatial diferentiation of the 2017 incidence of TB than environmental variables(0.06<q<0.27).Moreover,a much larger proportion(0.16<q<0.89)of the spatial diferentiation was interpreted by pairwise interactions,especially those(0.60<q<0.89)related to the 2016 incidence of TB,ofcially appointed medical institutions,bus stops,and road density.Conclusions:The spatial heterogeneity of the 2017 incidence of TB in the study area was considerably infuenced by several socioeconomic and environmental factors and their pairwise interactions on a fne scale.We suggest that more attention should be paid to the units with pairwise interacting factors in Guangzhou.Our study provides helpful clues for local authorities implementing more efective intervention measures to reduce TB incidence in China’s municipal areas,which are featured by both a high degree of urbanization and a high incidence of TB.
