Table 4 Spatiotemporal clusters of scrub typhus detected using Kulldoff’s space–time scan statistic in Anhui, China, 2010–2020.

From: Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010–2020

Cluster

Lon

Lat

Radius (Km)

Time Frame

No. Counties

No

Obs

No

Exp

LLR

RR

Incidence (1/100,000)

%

Population

%

Cases

1※

115.64

32.65

57.35

2010/1–2020/12

6

5541

1526.28

2674.22

3756.75

93.04

9.92

33.44

2※

116.58

33.22

50.96

2010/1–2020/12

5

4445

1374.87

1444.10

2498.82

82.86

8.94

26.83

3#

117.88

33.54

84.93

2019/10

8

236

11.56

489.03

20.71

4.13

9.53

1.42

4

116.41

34.45

93.20

2019/10

7

134

11.55

206.52

11.70

2.38

9.38

0.81

5

116.82

31.31

0.00

2019/9

1

69

1.49

197.33

46.55

9.02

1.28

0.42

6

118.09

32.07

60.83

2018/11

11

50

8.97

44.92

5.59

1.09

7.64

0.30

7

118.57

29.81

0.00

2020/7

14

8

0.82

11.02

9.72

1.92

0.69

0.05

  1. No. Counties, number of counties within clusters; No. Obs, number of observed cases; No. Exp, number of expected cases; LLR, log likelihood ratio; RR, relative risk of the cluster compared with the rest of the country; %, the proportion of the population or cases in cluster to the total during the clustering time.
  2. Significant clusters with P < 0.05.
  3. ※1: Primary cluster.
  4. #3–7: Secondary clusters.
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