TY - JOUR
T1 - Investigation of space-time clusters and geospatial hot spots for the occurrence of tuberculosis in Beijing
AU - Liu, Y.
AU - Li, Xia
AU - Wang, W.
AU - Li, Z.
AU - Hou, M.
AU - He, Y.
AU - Wu, W.
AU - Wang, H.
AU - Liang, H.
AU - Guo, Xiuhua
PY - 2012/4/1
Y1 - 2012/4/1
N2 - OBJECTIVE: To characterise the geographic and spatiotemporal distribution of confirmed tuberculosis (TB) cases in Beijing between 2005 and 2009. DESIGN: The yearly notification rate maps were used to describe the distribution of confirmed adult TB patients. Spatial autocorrelation (Moran's I ) and hot-spot analysis were adopted to detect the clusters and hot spots of TB. RESULTS: The TB incidence rate (cases per 100 000 population) in Beijing increased from 29.8 in 2005 to 35.0 in 2009. The incidence rate was significantly higher in the Urban Development New District and the Ecologic Reservation Development District (>30/100 000) than in the other districts. There was a significant spatial autocorrelation throughout the city (u = 2.58, P = 0.01). Evident clusters were observed in the Capital Functional Core District and the Urban Function Extension District (Gi*> 1). CONCLUSION: Spatial autocorrelation and hot-spot analysis may serve as efficient tools to detect space-time clusters and geospatial hot spots of TB incidence. Between 2005 and 2009, TB incidence in Beijing showed population density and mobility-dependent and ecos ocial status-dependent space-time clusters and geospatial hot spots.
AB - OBJECTIVE: To characterise the geographic and spatiotemporal distribution of confirmed tuberculosis (TB) cases in Beijing between 2005 and 2009. DESIGN: The yearly notification rate maps were used to describe the distribution of confirmed adult TB patients. Spatial autocorrelation (Moran's I ) and hot-spot analysis were adopted to detect the clusters and hot spots of TB. RESULTS: The TB incidence rate (cases per 100 000 population) in Beijing increased from 29.8 in 2005 to 35.0 in 2009. The incidence rate was significantly higher in the Urban Development New District and the Ecologic Reservation Development District (>30/100 000) than in the other districts. There was a significant spatial autocorrelation throughout the city (u = 2.58, P = 0.01). Evident clusters were observed in the Capital Functional Core District and the Urban Function Extension District (Gi*> 1). CONCLUSION: Spatial autocorrelation and hot-spot analysis may serve as efficient tools to detect space-time clusters and geospatial hot spots of TB incidence. Between 2005 and 2009, TB incidence in Beijing showed population density and mobility-dependent and ecos ocial status-dependent space-time clusters and geospatial hot spots.
KW - Geographic distribution
KW - Hot-spot analysis
KW - Spatial autocorrelation
KW - Tuberculosis
UR - http://www.scopus.com/inward/record.url?scp=84863357407&partnerID=8YFLogxK
U2 - 10.5588/ijtld.11.0255
DO - 10.5588/ijtld.11.0255
M3 - Article
AN - SCOPUS:84863357407
SN - 1027-3719
VL - 16
SP - 486
EP - 491
JO - International Journal of Tuberculosis and Lung Disease
JF - International Journal of Tuberculosis and Lung Disease
IS - 4
ER -
