Table 4 Comparative analysis of demographic, ecological and socioeconomic variables stratified by four types of spatial clusters as determined by LISA, China, 2005–2016.

From: Geographical and temporal distribution of the residual clusters of human leptospirosis in China, 2005–2016

Characteristics

Cluster

F/χ2

P-value

High-High* (n = 22)

High-Low (n = 94)

Low-High (n = 199)

Low-Low (n = 634)

Other** (n = 1733)

Demographical

Age (years)

Median (IQR)

35 (21–47)a

45 (32–56)b

44 (30–57)b

48 (34–57)c

41 (30–53)b

F = 185.38

<0.001#

Sex, n (%)

Male

985 (69.60)a

270 (71.42)

229 (76.84)

215 (63.23)

1,001 (63.27)b

χ2 = 33.10

<0.001

Female

431 (30.40)a

108 (28.58)

69 (23.16)

125 (36.77)

581 (36.73)b

  

Occupation, n (%)

Farmer

1,136 (80.20)a

265 (70.10)a

212 (71.14)a

247 (72.64)a

1,080 (68.27)b

χ2 = 57.79

<0.001

Non-farmer

280 (19.80)a

113 (29.90)a

86 (28.86)a

93 (27.36)a

502 (31.73)b

  

Ecological and Socioeconomic

Mean Elevation (m)

576.01ab (451.17–700.25)

250.94a (190.66–311.21)

675.15b (577.41–772.90)

207.49a (177–45–237.52)

1,020.36c (963.39–1077.34)

F = 82.50

<0.001

Mean monthly precipitation (mm)

106.82a (97.45–116.19)

101.40a (95.26–107.55)

120.67b (117.40–123.93)

76.88c (74.57–79.19)

62.79d (61.08–64.49)

F = 167.25

<0.001

Rural-type counties (%)

100.00

93.61 (86.45–97.11)

91.45 (86.66–94.63)

76.02 (72.54–79.19)

86.60 (84.9–88.1)

χ2 = 58.43

<0.001

Mean pig density (head/km2)

212.20a (146.40–278.00)

212.49a (181.57–243.41)

134.28b (114.48–154.09)

190.50a (176.43–204.58)

88.68b (83.25–94.11)

F = 78.40

<0.001

Mean cattle density (head/km2)

7.88a (4.14–11.62)

24.18ab (18.06–30.29)

23.54ab (19.73–27.35)

36.36b (31.26–41.46)

19.62ab (17.55–21.70)

F = 14.41

<0.001

Mean farmland production (kg/ha)

2,949.67ab (1953.41–3945.93)

3,372.04b (2854.01–3890.06)

1,457.58c (1267.94–1647.22)

4,296.41c (4080.49–4512.33)

2,315.05a (2208.14–2421.97)

F = 99.84

<0.001

GDP

440.80a (236.61–644.98)

3,070.73b (2042.65–4098.83)

1,427.95c (1025.29–1830.60)

4,448.88d (4006.23–4891.54)

1,974.07c (1787.85–2160.30)

F = 41.99

<0.001

  1. Note: *High-High (High-risk counties): a county identified if only as HH based on LISA for more than 50% of the period of study. **Other: not statistically significant cluster as determined by LISA.
  2. Results expressed as mean (95% CI) unless otherwise noted;
  3. #Kruskal-Wallis test.
  4. Type of each county (rural or urban) was defined based on the predominant proportion of area. The proportion of area was calculated from mean values of pixels of raster maps of each county polygon51.
  5. Unit: RMB 10,000 (Chinese Yuan).
  6. a,b,c,dDifferent letter denotes significant difference after post hoc Tukey’s HSD adjustment between value between clusters at level ≤0.05.
  7. IQR, interquartile range; GDP, gross domestic product.