Abstract:

In order to analyze the temporal-spatial distribution of pulmonary tuberculosis (PTB) in Fujian Province, the information of patients diagnosed with active PTB and tuberculous pleurisy in Fujian Province from 2011 to 2020 were collected from the Infectious Disease Surveillance System, a subsystem of China Disease Control and Prevention Information System. The incidence of the PTB, global and local spatial autocorrelation analysis (Moran’s I index, Getis-Ord G and Getis-Ord Gi^* index), visual hotspot analysis and temporal-spatial scanning analysis were implemented by SPSS 24.0, ArcGIS 10.2, local indicators of spatial association (LISA) cluster diagram and SaTScan 9.6 software. The incidence of PTB reported in Fujian decreased from 60.6/100000 (22374/36900000) in 2011 to 45.0/100000 in 2020 (17860/39730000) (χ²_trend=1496.216, P<0.05). Annual Global Moran’s I (I=0.292, Z=3.936, P<0.01) and Getis-Ord General G (G=0.000, Z=2.124, P=0.034) index indicated that the incidence of PTB reported in Fujian was somehow clustered. Twenty-two local spatial cluster areas were showed in the LISA cluster diagram, including 11 high-high, 8 low-low, 2 low-high and 1 high-low cluster areas. Local Getis-Ord Gi^* index presented that there were 24 “hot spots” regions, including 6 “negative hot spots” and 18 “positive hot spots”. The temporal-spatial scanning analysis showed that the cluster areas and classification were reduced, but the spatial cluster was still obvious. In addition, there were 5 levels of cluster areas in 2011 and 2012, involving 28 counties; while only 3 levels were found in 2018, involving 18 counties.

Key words: Tuberculosis,pulmonary, Epidemiologic studies, Temporal-spatial clustering, Fujian Province