Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system

Zuo, Zhongbao; Wang, Miaochan; Cui, Huaizhong; Wang, Ying; Wu, Jing; Qi, Jianjiang; Pan, Kenv; Sui, Dongming; Liu, Pengtao; Xu, Aifang

doi:10.1186/s12889-020-09331-y

Table 3 The local spatial autocorrelation of TB in China from 2004 to 2017

From: Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system

Year	Area	LMi Index	LMi Z-score	P-value	Correlation type	Incidence (/100,000)
2004	Guangxi	0.00001	2.82	0.005	High-High Cluster	119.62
2004	Hainan	0.000007	2.69	0.007	High-High Cluster	123.21
2004	Guizhou	0.00001	3.08	0.002	High-High Cluster	122.23
2004	Chongqing	0.000009	2.54	0.01	High-High Cluster	127.49
2005	Guangxi	0.00001	2.77	0.006	High-High Cluster	145.67
2005	Guizhou	0.00001	3.19	0.001	High-High Cluster	157.35
2005	Chongqing	0.000009	2.57	0.01	High-High Cluster	151.51
2006	Guangxi	0.000009	2.53	0.01	High-High Cluster	127.23
2006	Hainan	0.000006	2.40	0.02	High-High Cluster	140.54
2006	Guizhou	0.00001	2.86	0.004	High-High Cluster	146.21
2007	Guangxi	0.00001	2.72	0.007	High-High Cluster	129.84
2007	Hainan	0.000007	2.54	0.01	High-High Cluster	143.63
2007	Guizhou	0.00001	3.42	0.001	High-High Cluster	169.92
2008	Guangxi	0.00001	2.79	0.005	High-High Cluster	131.41
2008	Hainan	0.000006	2.47	0.01	High-High Cluster	139.16
2008	Guizhou	0.00001	3.47	0.0005	High-High Cluster	183.0
2008	Chongqing	0.000007	2.01	0.04	High-High Cluster	127.61
2008	Xinjiang	−0.000001	−2.02	0.04	High-Low Cluster	202.93
2009	Xinjiang	0.000002	2.40	0.0007	High-High Cluster	183.35
2009	Tibet	0.000002	2.28	0.02	High-High Cluster	118.3
2010	Xinjiang	0.000003	4.56	0.0001	High-High Cluster	164.46
2010	Tibet	0.000004	3.16	0.002	High-High Cluster	118.34
2011	Xinjiang	0.000003	4.87	0.00001	High-High Cluster	157.83
2011	Tibet	0.000004	3.79	0.0002	High-High Cluster	123.03
2012	Xinjiang	0.000004	6.18	< 0.00001	High-High Cluster	181.17
2012	Tibet	0.000006	5.45	< 0.00001	High-High Cluster	135.18
2013	Xinjiang	0.000004	6.61	< 0.00001	High-High Cluster	172.73
2013	Tibet	0.000006	5.79	< 0.00001	High-High Cluster	138.12
2014	Xinjiang	0.000005	7.54	< 0.00001	High-High Cluster	176.0
2014	Tibet	0.000007	6.32	< 0.00001	High-High Cluster	147.99
2015	Xinjiang	0.000004	6.66	< 0.00001	High-High Cluster	184.53
2015	Tibet	0.000007	6.56	< 0.00001	High-High Cluster	140.20
2016	Xinjiang	0.000005	7.95	< 0.00001	High-High Cluster	185.66
2016	Tibet	0.000009	8.14	< 0.00001	High-High Cluster	154.37
2017	Xinjiang	0.000005	8.41	< 0.00001	High-High Cluster	202.59
2017	Tibet	0.000009	8.43	< 0.00001	High-High Cluster	154.77

Back to article page

ISSN: 1471-2458

Contact us

Submission enquiries: bmcpublichealth@biomedcentral.com
General enquiries: ORSupport@springernature.com

BMC Public Health

Contact us