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Table 2 Spatial clustering of TB incidents in Qinghai, China, 2009–2016

From: Using the Kulldorff’s scan statistical analysis to detect spatio-temporal clusters of tuberculosis in Qinghai Province, China, 2009–2016

Cluster type

Coordinates/Radius

N

Cluster counties

Observed cases

Expected cases

RR

LLR

P-value

Most likely cluster

(33.48 N, 99.41 E)/184.91 km

6

Dari, Gande, Maqin, Banma, Jiuzhi, Maduo

5408

1488.94

3.97

3225.58

<0.001

Secondary cluster 1

(34.86 N, 95.13 E)/229.73 km

4

Qumalai, Chengduo, Zaduo, Zhiduo

5244

1410.00

4.05

3215.65

<0.001

Secondary cluster 2

(32.17 N, 96.13 E)/97.79 km

2

Yushu, Nangqian

4728

1674.66

3.02

1956.35

<0.001

Secondary cluster 3

(36.07 N, 102.23 E)/0 km

1

Hualong

2530

1838.12

1.40

121.59

<0.001

Secondary cluster 4

(35.51 N, 99.73 E)/107.12 km

3

Xinghai, Tongde, Guinan

2422

1815.02

1.35

95.75

<0.001

Secondary cluster 5

(35.43 N, 102.08 E)/0 km

1

Tongren

1106

780.65

1.43

61.08

<0.001

Secondary cluster 6

(38.32 N, 99.70 E)/96.82 km

2

Qilian, Gangcha

1063

768.15

1.39

51.40

<0.001

Secondary cluster 7

(37.46 N, 101.70 E)/0 km

1

Menyuan

1451

1291.45

1.13

9.75

<0.001

Secondary cluster 8

(35.90 N, 101.85 E)/0 km

1

Jianza

573

475.97

1.21

9.38

<0.001